• Adopted the , which featured a principle on sustainable urban development
• Adopted the Stockholm Action Plan, which recommended the planning and management of human settlements for environmental quality
• Recommended convening a thematically dedicated conference on human settlements
As set forth in the Vancouver Declaration adopted at the 1976 UN Human Settlements Conference (Habitat I), the most important objective of urban development policy is the improvement of the quality of life for all people, beginning with satisfying basic needs such as food, shelter, clean water, employment, health, and education. This objective has been reconfirmed throughout the years, including in the 2016 New Urban Agenda.
This underscores a fundamental reality: the starting line is not the same for all. Whereas fulfilling fundamental needs—such as through improving access to clean piped water and sanitation—remains an important part of urban planning in many cities of the Global South, discussions on sustainable cities in the Global North mainly centre on how to make existing infrastructure more efficient and less wasteful. In the latter, the aim is for a “transformation” of building, energy, transport, and other systems toward enhanced environmental sustainability—for example, promoting better building insulation for reduced heat waste or fostering waste recycling. As Youba Sokona, South Centre, and Vice-Chair of the Intergovernmental Panel on Climate Change (IPCC), recently noted, “In Africa the question is less about transformation and more about ‘jump starting’ their development in a sustainable manner.”
Beyond this stark global divide, there are significant differences within individual cities: higher-income neighborhoods are typically better serviced than low-income areas and some communities face discrimination that hampers the fulfillment of their fundamental needs. Life in Banana Island, one of Lagos, Nigeria’s gated communities, with wellmaintained roads and a central sewerage system, is vastly different from that in the nearby Makoko slum, where residents live under the threat of eviction and lack access to basic services (Ajayi et al., 2019). Roma people, Europe’s largest ethnic minority, continue to struggle with precarious housing and the US city of Flint, Michigan, whose African-American inhabitants suffered years of lead-poisoned water before a court confirmed wrongdoing, became the poster child of environmental racism. Today, discussions on ensuring access to basic services for all stand side-by-side with futuristic reflections on urban air mobility and drone-based delivery systems.
Sustainable urban development also spans various sectors, key among them housing, transportation, energy, water, waste, food, and health. But that’s not all. As multilateral declarations adopted over the past fifty years highlight, sustainable urban development also touches on heritage preservation, disaster planning, urban-rural linkages, and much more. Striving for sustainable cities requires a holistic vision for how to accommodate increasingly large urban populations, ensuring sustainable livelihoods, quality of life, and social cohesion, while minimizing cities’ and city dwellers’ immediate and long-term impact on the environment. Consequently, all challenges associated with the very notion of sustainability come to the fore in urban areas.
Finally, sustainable urban development is multi-dimensional because it spans a wide array of urban realities. Cities vary in size, with metropolises such as Manila, Philippines, or Beijing, China, having populations ten times larger than entire countries, such as Slovenia and Lesotho. These cities, which would rank among the top 60 most populous countries of the world, must deal with sustainable urban development challenges on a different scale than cities of little more than 50,000 inhabitants. And differences do not only relate to cities’ sizes, but also to factors such as their historical development and geographic location. Coastal cities must plan for sea level rise, while other cities might face water scarcity or must deal with an industrial downturn. There is no single recipe for sustainable urban development. It materializes differently, depending on cities’ specific contexts.
Local governments are the key players for fostering of urban sustainability as they can take measures within their own jurisdiction. They are also increasingly engaged in transnational networks, such as ICLEI – Local Governments for Sustainability and the C40 Cities Climate Leadership Group. These networks provide space for peer-learning among local governments from different countries and serve to feed urban perspectives directly into regional and global sustainability debates. But fostering sustainable cities is not only a matter for local governments. Other actors have power to steer cities toward sustainability.
For one, while the concrete allocation of authority differs between countries, actors at varying government levels have a role to play. National governments might set up an overall housing strategy with tax incentives for the development of new rental housing or pass legislation on insulation or energy efficiency, while cities can develop specific building codes and measures to support social housing. Others can also influence urban sustainability by adopting specific policies and standards, such as influencing norms or opening funding opportunities. This includes state, provincial, or regional governments in federally structured countries, supranational entities, where relevant, and multilateral fora.
Further, non-governmental actors—including businesses, civil society organizations, schools, research institutions, and faith-based organizations—are also sustainability agents. They can self-govern toward sustainability, such as by adjusting diets in canteen menus or switching to renewable energy . At a larger scale, they can take outward-facing initiatives, such as hosting a repair café to help people fix broken household items and sharing information on grant programs for home retrofits, and pressure governments by lobbying for cities to phase out fossil fuels . Corporate initiatives toward enhanced urban sustainability can help develop new technologies and business models, with many leveraging big data and sharing economy approaches. Actors engage in sustainability initiatives for various reasons. As Westman et al. (2021) show, small- and medium-sized enterprises notably aim to improve their reputation in the local community, increase efficiency, or align with personal values. Some initiatives—such as when exasperated citizens build their own bike lanes —are disruptive and constitute a push for change from the bottom, while at other times windows of opportunity are opened from the top. Change often relies on the interplay between different kinds of actors, both governmental and non-governmental. Fostering urban sustainability nevertheless remains a protracted undertaking. Key challenges include that local governments at times lack the autonomy or fiscal and human capacity to undertake sustainability measures and that powerful actors—such as central governments or large businesses—might stand in the way of change (Beermann et al., 2016).
Many new approaches to sustainable urban development are breaking with the long predominant mindset of “taming nature” and are bringing back greenery into the infamous concrete jungle. Think of urban agriculture, which is gaining ground in the collective imagery of sustainable cities.
More broadly, there is a strong move toward what is increasingly termed “ nature-based solutions .” A look at urban water management provides many examples: New York City is restoring oyster reefs , cities like Seoul are daylighting water streams buried under concrete for many decades, and China is supporting the development of so-called sponge cities . Rather than relying only on hard engineering, these cities leverage natural infrastructure to achieve multiple benefits, not only enhancing flood management but also providing recreational opportunities and supporting biodiversity, among other benefits. Many such measures are designed to address climate change, especially from an adaptation and resilience standpoint. They can mitigate the urban heat island effect and flooding—both from increased precipitation events and, where relevant, storm surges. Plants are not only used on the ground and on roofs but also on facades, with architects and urban residents increasingly experimenting with vertical gardens. Similarly, urban wastelands and unused industrial infrastructure are being renatured to provide habitat for urban biodiversity and recreational spaces for city dwellers, with New York City’s High Line and Atlanta’s BeltLine in the US as flagship projects.
Cities are also grappling with the detrimental effects of decades of car-centred urban planning, which fostered urban sprawl, placed a barrier on other forms of transportation, contributed to a large share of cities’ greenhouse gas emissions, and lead to local air pollution (OECD, 2018). Multimodal transportation initiatives are sprouting up around the world in various forms, including: establishing toll roads (Singapore; London, UK), enabling free public transportation for residents (Aubagne, France; Tallinn, Estonia), installing cable cars (Medellín, Colombia; Constantine, Algeria), and giving priority traffic lights to cyclists as a default or when it rains (Odense, Denmark; Rotterdam, the Netherlands). Additionally, there are corporate initiatives such as bicycle and scooter rentals, and civil society actions, such as the collective bike rides of the Critical Mass movement. Most recently, the COVID-19 pandemic brought about a reckoning about the immense amount of urban space allocated to cars. In many cities, residents have become fond of newly extended sidewalks and parking spaces converted for outdoor dining. Whether this will truly bring about permanent change remains to be seen.
More fundamentally, equity considerations are increasingly coming to the fore, as people grapple with the fact that urban development has failed to make cities liveable for all. Building on the work of feminist and disability studies scholars, the World Bank (2020) provides a toolkit for redressing the fact that “In general, cities work better for heterosexual, able-bodied, cisgender men than they do for women, girls, sexual and gender minorities, and people with disabilities” (p. 8). Meehan et al. (2020) draw attention to intersecting social and racialized inequalities that curtail access to basic services, even in some of the most affluent cities in the world. This reckoning not only pertains to the detrimental effects of past urban planning, but also relates to more recent developments. For example, hostile architecture that has flourished in many places with the aim of banishing homeless people is increasingly decried as a manifestation of failures to address the root causes of homelessness and for rendering public spaces unwelcoming to urban dwellers at large. This critical reflection also relates to the potential negative effects of some sustainability measures, where green gentrification can increase local property values and displace existing residents who can no longer afford to live in the neighbourhood (Anguelovski, 2016).
Against this background, it is important to pay attention to inclusive urban planning. Decisions adopted at Habitat I in 1976 already stipulated that “Public participation is a right that must be accorded to all segments of the population, including the most disadvantaged” (p. 76) and that “Citizens must be provided opportunities for direct involvement in the decisions that profoundly affect their lives” (p. 71). This can foster democratic legitimacy and adapt measures to specific local contexts, which can enhance their effectiveness. Yet, as UN-Habitat (2019) notes, ensuring public participation in practice remains a challenge and “when deliberation occurs it is often biased towards more powerful stakeholders with greater resources” (p. 23). To overcome long-standing challenges with implementing participation ideals, scholars, community organizations, and some local governments are experimenting with different approaches, including participatory budgeting and community mapping exercises (Calisto Friant, 2019; Klopp & Cavoli, 2019).
As more and more people live in urban areas, coupled with worsening impacts from climate change and natural resource loss, the magnitude of the urban sustainability challenge and the need for decisive action is bigger than ever. As the world saw with the COVID-19 pandemic, overcrowding and poverty make it difficult to follow recommended measures such as social distancing and self-isolation. This calls for a holistic rethinking about how to make cities liveable for all while minimizing adverse impacts on the environment.
Striving for sustainable cities requires overcoming barriers between different levels of government as well as vested interests in preserving the status quo. It requires looking beyond the sphere of the urban to attend to urban-rural linkages, foster circular resource use, and decarbonize the energy, transport, and building sectors. Urban sustainability requires cross-sectoral planning and attention to the differentiated needs of all urban dwellers so as to leave no one behind in the necessary transformation. Sustainability pathways should be tailored to specific urban contexts. As such, there will never be one single model for what a sustainable city looks like.
Ajayi, O., Soyinka-Airewele, P., & Samuel, O. (2019). Gentrification and the challenge of development in Makoko, Lagos State, Nigeria: A rights-based perspective. Environmental Justice, 12(2), 41-47. doi.org/10.1089/env.2018.0020
Anguelovski, I. (2015). From toxic sites to parks as (green) LULUs? New challenges of inequity, privilege, gentrification, and exclusion for urban environmental justice. Journal of Planning Literature, 31(1), 23-36. doi.org/10.1177/0885412215610491
Beermann, J., Damodaran, A., Jörgensen, K., & Schreurs, M. A. (2016). Climate action in Indian cities: An emerging new research area. Journal of Integrative Environmental Sciences, 13(1), 55-66. doi.org/10.1080/1943815x.2015.1130723
Calisto Friant, M. (2019). Deliberating for sustainability: Lessons from the Porto Alegre experiment with participatory budgeting. International Journal of Urban Sustainable Development, 11(1), 81-99. doi.org/10.1080/19463138.2019.1570219
Intergovernmental Panel on Climate Change. (2021). Regional fact sheet - urban areas. Sixth Assessment Report. Working Group I - The Physical Science Basis. ipcc.ch/report/ar6/wg1/downloads/factsheets/IPCC_AR6_WGI_Regional_Fact_Sheet_Urban_areas.pdf
Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services. (2019). Summary for policymakers of the global assessment report on biodiversity and ecosystem services of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services. S. Díaz, J. Settele, E. S. Brondízio E.S., H. T. Ngo, M. Guèze, J. Agard, A. Arneth, P. Balvanera, K. A. Brauman, S. H. M. Butchart, K. M. A. Chan, L. A. Garibaldi, K. Ichii, J. Liu, S. M. Subramanian, G. F. Midgley, P. Miloslavich, Z. Molnár, D. Obura, A. Pfaff, S. Polasky, A. Purvis, J. Razzaque, B. Reyers, R. Roy Chowdhury, Y. J. Shin, I. J. Visseren-Hamakers, K. J. Willis, and C. N. Zayas (Eds.). ipbes.net/sites/default/files/inline/files/ipbes_global_assessment_report_summary_for_policymakers.pdf
Klopp, J. M., & Cavoli, C. (2019). Mapping minibuses in Maputo and Nairobi: Engaging paratransit in transportation planning in African cities. Transport Reviews, 39(5), 657-676. doi.org/10.1080/01441647.2019.1598513
Meehan, K., Jurjevich, J. R., Chun, N. M. J. W., & Sherrill, J. (2020). Geographies of insecure water access and the housing–water nexus in US cities. Proceedings of the National Academy of Sciences, 117(46), 28700-28707. doi.org/10.1073/pnas.2007361117
Organisation for Economic Co-operation and Development. (2018). Rethinking urban sprawl: Moving towards sustainable cities. doi.org/10.1787/9789264189881-en
UN-Habitat. (2019). Mixed reality for public participation in urban and public space design: Towards a new way of crowdsourcing more inclusive smart cities. unhabitat.org/mixed-reality-for-public-participation-in-urban-and-public-spacedesign-towards-a-new-way-of
United Nations. (2019). The Sustainable Development Goals report 2019. unstats.un.org/sdgs/report/2019/
United Nations. (2021). The Sustainable Development Goals report 2021. unstats.un.org/sdgs/report/2021/
United Nations Department of Economic and Social Affairs. (2019). World urbanization prospects: The 2018 revision. population. un.org/wup/Publications/Files/WUP2018-Report.pdf
UN-Water. (2021). Summary progress update 2021: SDG 6 – water and sanitation for all. unwater.org/publications/summary-progress-update-2021-sdg-6-water-andsanitation-for-all/
Westman, L., Luederitz, C., Kundurpi, A., Mercado, A. J., Weber, O., & Burch, S. L. (2018). Conceptualizing businesses as social actors: A framework for understanding sustainability actions in small- and medium-sized enterprises. Business Strategy and the Environment, 28(2), 388-402. doi.org/10.1002/bse.2256
World Bank. (2020). Handbook for genderinclusive urban planning design. worldbank.org/en/topic/urbandevelopment/publication/handbook-for-gender-inclusive-urban-planning-and-design
Deep dive details, you might also be interested in, web of resilience.
Pakistan's development model has still not recognised the limits of the natural environment and the damage it would cause, if violated, to the sustainability of development and to the health and well-being of its population. Pakistan’s environment journey began with Stockholm Declaration in 1972. A delegation led by Nusrat Bhutto represented the country at the Stockholm meeting, resulting in the establishment of the Urban Affairs Division (UAD), the precursor of today’s Ministry of Climate Change. In setting the country’s environmental agenda, we were inspired by the Stockholm Principles, but in reality, we have mostly ignored them for the last five decades.
IISD in the news
June 5, 2022
To protect the Arctic, stronger and broader local, national, and international measures to reduce greenhouse gas emissions must be implemented.
April 11, 2022
For universal access to water to become a reality, governments and private-sector service providers should adopt a human rights-based approach to ensure water and sanitation services are safe, available, accessible, affordable, and culturally acceptable.
March 22, 2022
Should United Nations sustainable development mega-conferences continue in a post-COVID-19 era?
June 21, 2021
You can also search for this editor in PubMed Google Scholar
Faculty of engineering and architecture, passo fundo university, passo fundo, brazil, istinye university, istanbul, turkey, university of chester, chester, uk.
Part of the book series: Encyclopedia of the UN Sustainable Development Goals (ENUNSDG)
24k Accesses
152 Citations
8 Altmetric
This is a preview of subscription content, log in via an institution to check access.
Subscribe and save.
Tax calculation will be finalised at checkout
Licence this eBook for your library
Institutional subscriptions
The problems related to the process of industrialisation such as biodiversity depletion, climate change and a worsening of health and living conditions, especially but not only in developing countries, intensify. Therefore, there is an increasing need to search for integrated solutions to make development more sustainable. The United Nations has acknowledged the problem and approved the “2030 Agenda for Sustainable Development”. On 1st January 2016, the 17 Sustainable Development Goals (SDGs) of the Agenda officially came into force. These goals cover the three dimensions of sustainable development: economic growth, social inclusion and environmental protection.
The Encyclopedia of the UN Sustainable Development Goals comprehensively addresses the SDGs in an integrated way. The Encyclopedia encompasses 17 volumes, each one devoted to one of the 17 SDGs. This volume addresses SDG 11, namely “ Make cities and human settlements inclusive, safe, resilient and sustainable ” and contains the description of a range of terms, which allows a better understanding and fosters knowledge. This book presents a set of papers on the state of the art of knowledge and practices about the numerous challenges for cities, solutions and opportunities for the future.
Front matter, access to basic services: from public benefit practice to a sustainable development approach.
Accessible cities, accessible infrastructure, active transportation, adverse conditions, affordable houses, affordable infrastructure, building lifecycle sustainability analysis.
Business continuity management (bcm), business continuity planning.
Editors and affiliations.
Walter Leal Filho
Anabela Marisa Azul
Luciana Brandli
Pinar Gökçin Özuyar
Walter Leal Filho (BSc, PhD, DSc, DPhil, DEd, DL, DLitt) is a Senior Professor and Head of the Research and Transfer Centre "Sustainable Development and Climate Change Management” at Hamburg University of Applied Sciences in Germany, and Chair of Environment and Technology at Manchester Metropolitan University, UK. He is the initiator of the Word Sustainable Development Symposia (WSSD-U) series, and chairs the Inter-University Sustainable Development Research Programme. Professor Leal Filho has written, co-written, edited or co-edited more than 400 publications, including books, book chapters and papers in refereed journals.
Anabela Marisa Azul is a Researcher at the Center for Neuroscience and Cell Biology (CNC) and the Institute for Interdisciplinary Research of the University of Coimbra (UC, Portugal). She holds a Ph.D. in Biological Sciences, specializing in Ecology (2002, UC), and pursued her investigation on biology and ecology of fungi to pinpoint the role of mycorrhizal symbiosis for sustainability of Mediterranean forests under different land use scenarios at the Centre for Functional Ecology (CFE-UC), where she became an Associate Researcher (from 2009 to 2014). At CFE-UC, Marisa Azul developed a holistic approach that combined innovation in food production with sustainable development and public scientific awareness to multiple actors. At CNC, from 2014 on, Marisa Azul focuses her investigation on basic research and participatory research dynamics to pinpoint links between metabolism, health/disease, and sustainability. She has broad academic experience as a researcher working in participatory research and interdisciplinary that link biomedical and life/environmental sciences, social sciences, science education, science communication, and artistic forms. Her research interests also lie in bringing together the academy and social/economical players. She has been successful in attracting national and international funding, coordinating projects, and mentoring young researchers on the topics mentioned. She has co-authored over 40 scientific publications and book chapters, co-edited 4 books on Climate Change Management Series and 1 onWorld Sustainability Series published by Springer, co-authored 4 books for children and 2 comics, and co-produced 1 animation.
Book Title : Sustainable Cities and Communities
Editors : Walter Leal Filho, Anabela Marisa Azul, Luciana Brandli, Pinar Gökçin Özuyar, Tony Wall
Series Title : Encyclopedia of the UN Sustainable Development Goals
DOI : https://doi.org/10.1007/978-3-319-95717-3
Publisher : Springer Cham
eBook Packages : Earth and Environmental Science , Reference Module Physical and Materials Science , Reference Module Earth and Environmental Sciences
Copyright Information : Springer Nature Switzerland AG 2020
Hardcover ISBN : 978-3-319-95716-6 Published: 09 April 2020
eBook ISBN : 978-3-319-95717-3 Published: 24 April 2020
Series ISSN : 2523-7403
Series E-ISSN : 2523-7411
Edition Number : 1
Number of Pages : XXVI, 982
Number of Illustrations : 16 b/w illustrations, 84 illustrations in colour
Topics : Sustainable Development , Urban Geography / Urbanism (inc. megacities, cities, towns) , Transportation Technology and Traffic Engineering , Waste Management/Waste Technology , Climate Change Management and Policy
Policies and ethics
The world is developing at an unprecedented scale. Over the next 20 years, urban population in developing countries will double to 4 billion, while the urbanized land area will triple. Rapid growth helps create new opportunities, but it has also brought serious social, economic, and environmental challenges.
Today, 1 billion people live in urban slums, and 1.5 billion people live in countries affected by repeated cycles of violence. In the past decade, the number of people affected by natural disasters tripled to 2 billion. Low-income countries have accounted for only 9% of the disaster events but 48% of fatalities since 1980. The burden of disasters, conflict, crime, and violence falls disproportionately on the poor.
Urban and rural communities around the world increasingly feel the urge to tackle these challenges and increase their resilience to poverty and inequality, social exclusion, violence and fragility, as well as climate change and disaster risks. Building sustainable communities—whether they are villages, cities, or countries and societies at large—will be critical to eliminating poverty and boosting shared prosperity.
Specifically, the concept of “ Sustainable Cities and Communities ” of the World Bank’s Urban, Disaster Risk Management, Resilience and Land Global Practice (GPURL) includes four key dimensions:
Building inclusive, resilient, competitive and sustainable cities and communities is essential for achieving the Sustainable Development Goals by 2030, and eliminating extreme poverty and boosting shared prosperity at the local, regional, and national levels.
Join us in our efforts to build sustainable cities and communities worldwide! Read our blog series and subscribe to our newsletter to stay updated .
In building Sustainable Communities, the World Bank focuses on its work in four areas, led by the Bank’s Urban, Disaster Risk Management, Resilience and Land Global Practice (GPURL):
Urban Planning, Services, and Institutions – Urban Development:
The World Bank’s work in urban development aims to build sustainable cities and communities through an urbanization process that is inclusive, resilient and low carbon, productive, and livable, contributing to the Sustainable Development Goal (SDG) No.11 , implementation of the New Urban Agenda , as well as the World Bank’s goals to end extreme poverty and boost shared prosperity.
The World Bank invests an average of $6 billion in urban development and resilience projects every year to help cities meet the critical demands of urbanization. The Bank’s Urban Development strategy focuses on three priorities:
The three priorities are translated into six business lines:
The Bank is working in partnership with the private sector, governments, and civil society to build clean and efficient cities and communities that are resilient to natural disasters, and to create competitive economies that provide new kinds of jobs for people and ensure that everyone, especially the poorest, can benefit.
For more information, see www.worldbank.org/urban
Mainstreaming Resilience – Disaster Risk Management:
Disasters hurt the poor and vulnerable the most. From 1995 through 2014, 89% of storm-related fatalities were in lower-income countries, even though these countries experienced just 26% of storms. The impact of disasters will continue to grow as climate change increases the frequency and intensity of extreme weather events.
Over the past decade, the World Bank has emerged as the global leader in disaster risk management (DRM), supporting client countries to assess exposure to hazards and address disaster risks. It provides technical and financial support for risk assessments, risk reduction, preparedness, financial protection, and resilient recovery and reconstruction.
For more information, see www.worldbank.org/disaster
Territorial and Rural Development – Land and Geospatial:
Land is at the center of many development challenges. Estimates suggest that around 30% of land rights are registered or recorded worldwide. The World Bank is working to address land tenure insecurity through land administration projects, analytical work, and technical assistance. The World Bank actively works with countries and partners worldwide to ensure women’s equal access and secure rights to land and property. The World Bank also supports the land rights of smallholders and Indigenous Peoples, displaced people, and refugees.
The World Bank is working on land tenure as well as land and geospatial infrastructure and systems in dozens of countries across the world, with an investment of approximately $1.5 billion in commitments, impacting millions of land holders in Africa, Asia, Eastern Europe and Central Asia, Latin America, and the Middle East and North Africa.
The World Bank is increasingly working to open land and geospatial datasets for acceleration of growth. The Bank is also preparing a “Land 2030 Global Initiative” to enhance the commitment of countries and mobilize resources to achieve ambitious targets of securing land and property rights by 2030.
For more information, see www.worldbank.org/land
Click on the links below to learn more about the World Bank’s operational and analytical work in:
The World Bank is actively working in partnership with the governments, civil society, academia, private sector, and others to build inclusive, resilient, competitive, and sustainable communities for all.
As the partnership grows, the Sustainable Communities newsletter serves as a platform for development practitioners at the World Bank and around the world to stay informed and exchange ideas with their partners on the most pressing issues in global development, such as social development, urban development, disaster risk management and climate change, conflict and violence, and land governance.
This site uses cookies to optimize functionality and give you the best possible experience. If you continue to navigate this website beyond this page, cookies will be placed on your browser. To learn more about cookies, click here .
European Journal of Futures Research volume 7 , Article number: 5 ( 2019 ) Cite this article
27k Accesses
66 Citations
Metrics details
Sustainable cities have been the leading global paradigm of urbanism. Undoubtedly, sustainable development has, since its widespread diffusion in the early 1990s, positively influenced city planning and development. This pertains to the immense opportunities that have been explored and the enormous benefits that have been realized in relation to sustainable urban forms, especially compact cities and eco-cities. However, such forms are still associated with a number of problems, issues, and challenges. This mainly involves the question of how they should be monitored, understood, analyzed, and planned to improve, advance, and maintain their contribution to sustainability and thus to overcome the kind of wicked problems, unsettled issues, and complex challenges they embody. This in turn brings us to the current question related to the weak connection between and the extreme fragmentation of sustainable cities and smart cities as approaches and landscapes, respectively, despite the proven role of advanced ICT, coupled with the untapped potential of big data technology and its novel applications, in supporting sustainable cities as to enhancing and optimizing their performance under what is labeled “smart sustainable cities.” In this respect, there has recently been a conscious push for sustainable cities to become smart and thus more sustainable by particularly embracing what big data technology and its novel applications has to offer in the hopes of reaching the optimal level of sustainability. In the meantime, we are in the midst of an expansion of time horizons in city planning and development. In this context, sustainable cities across the globe have adopted ambitious smart goals that extend far into the future. Essentially, there are multiple visions of, and pathways to achieving, smart sustainable cities based on how they can be conceptualized and operationalized. The aim of this paper is to generate a vision for smart sustainable cities of the future by answering the 6 guiding questions for step 3 of the futures study being conducted. This study aims to analyze, investigate, and develop a novel model for smart sustainable cities of the future using backcasting as a scholarly approach. It involves a series of papers of which this paper is the second one, following the earlier papers with steps 1 and 2. Visionary images of a long-term future can stimulate an accelerated movement towards achieving the long-term goals of sustainability. The proposed model is believed to be the first of its kind and thus has not been, to the best of one’s knowledge, produced, nor is it being currently investigated, elsewhere.
Contemporary cities have a pivotal role in strategic sustainable development; therefore, they have gained a central position in operationalizing this notion and applying this discourse. This is clearly reflected in the Sustainable Development Goal 11 (SGD 11) of the United Nations’ 2030 Agenda, which seek to make cities more sustainable, resilient, inclusive, and safe [ 73 ]. Sustainable cities have long been the leading global paradigm of urbanism [ 19 , 74 , 77 , 78 , 79 ] for more than three decades or so. The subject of “sustainable cities” remains endlessly fascinating and enticing, as there are numerous actors involved in the academic and practical aspects of the endeavor, including engineers and architects, green technologists, built and natural environment specialists, and environmental and social scientists, and, more recently, computer scientists, data scientists, and urban scientists. All these actors are undertaking research and developing strategies and programs to tackle the challenging elements of sustainable urbanism. This adds to the work of policymakers and political decision-makers in terms of formulating and implementing regulatory policies and devising and applying political mechanisms and governance arrangements to promote and spur innovation and monitor and maintain progress in sustainable cities.
Since its widespread diffusion in the early 1990s, sustainable development has had significant positive impacts on the planning and development of cities in terms of the different dimensions of sustainability. It has also revived the discussion about the form of cities [ 40 ]. In this regard, it has inspired a whole generation of urban scholars and practitioners into a quest for the immense opportunities and fascinating possibilities that could be enabled and created by, and the enormous benefits that could be realized from, the planning and development of sustainable urban forms (especially compact cities and eco-cities), That is to say, forms for human settlements that can meet the required level of sustainability and enable the built environment to function in a constructive way. This can be accomplished through continuously improving their contribution to the goals of sustainable development in terms of reducing material use, lowering energy consumption, mitigating pollution, and minimizing waste, as well as in terms of improving equity, inclusion, the quality of life, and well-being.
However, new circumstances require new responses. This pertains to the spread of urbanization and the rise of ICT and how they are drastically changing sustainable urbanism. The transformative force of urbanization and ICT and the role that cities can play have far-reaching implications. By all indicators, the urban world will become largely technologized and computerized within just a few decades, and ICT as an enabling, integrative, and constitutive technology of the twenty-first century will accordingly be instrumental, if not determining, in addressing many of the conundrums posed, the issues raised, and the challenges presented by urbanization. It is therefore of strategic value to start directing the use of emerging ICT into understanding and proactively mitigating the potential effects of urbanization, with the primary aim of tackling the many intractable and wicked problems involved in urban operational functioning, management, planning, development, and governance, especially in the context of sustainability. Indeed, the rapid urbanization of the world poses significant and unprecedented challenges associated with sustainability (e.g., [ 26 , 31 , 34 ]) due to the issues engendered by urban growth. In short, the multidimensional effects of unsustainability are most likely to exacerbate with urbanization. Urban growth will jeopardize the sustainability of cities [ 53 ]. Therefore, ICT has come to the fore and become of crucial importance for containing the effects of urbanization and facing the challenges of sustainability, including in the context of sustainable cities which are striving to improve, advance, and maintain their contribution to the goals of sustainable development. The use of advanced ICT in sustainable cities constitutes an effective approach to decoupling the health of the city and the quality of life of citizens from the energy and material consumption and concomitant environmental risks associated with urban operations, functions, services, strategies, and policies [ 13 ].
Smart sustainable cities as an integrated and holistic approach to urbanism represent an instance of sustainable urban planning and development, a strategic approach to achieving the long-term goals of urban sustainability—with support of advanced technologies and their novel applications. Accordingly, achieving the status of smart sustainable cities epitomizes an instance of urban sustainability. This notion refers to a desired (normative) state in which a city strives to retain a balance of the socio-ecological systems through adopting and executing sustainable development strategies as a desired (normative) trajectory [ 19 ]. This balance entails enhancing the physical, environmental, social, and economic systems of the city in line with sustainability over the long run—given their interdependence, synergy, and equal importance. This long-term strategic goal requires, as noted by [ 7 ], p. 601), “fostering linkages between scientific research, technological innovations, institutional practices, and policy design and planning in relevance to sustainability. It also requires a long-term vision, a trans-disciplinary approach, and a system-oriented perspective on addressing environmental, economic, social, and physical issues.” All these requirements are at the core of backcasting as a scholarly and planning approach to futures studies. This approach facilitates and contributes to the development, implementation, evaluation, and improvement of models for smart sustainable cities, with a particular focus on practical interventions for integrating and improving urban systems and coordinating and coupling urban domains using cutting-edge technologies in line with the vision of sustainability. One of the most appealing strands of research in the domain of smart sustainable urbanism is that which is concerned with futures studies. The relevance and rationale behind futures research approach are linked to the strategic planning and development associated with long-term sustainability endeavors, initiatives, or solutions. And backcasting is well suited to any multifaceted kind of planning and development process (e.g., [ 38 ]), as well as to dealing with urban sustainability problems and challenges [ 19 , 23 , 29 , 52 , 59 ].
The aim of this paper is to generate a vision for smart sustainable cities of the future by answering the 6 guiding questions for step 3 of the futures study being conducted, namely:
What are the terms of reference for the future vision?
How does the future sustainable socio-technical system and need fulfillment look like?
How is the future vision different from the existing socio-technical systems?
What is the rationale for developing the future vision?
Which sustainability problems, issues, and challenges have been dealt with by meeting the stated objectives and thus achieving the specified goals?
Which advanced technologies and their novel applications have been used in the future vision?
This futures study aims to analyze, investigate, and develop a novel model for smart sustainable cities of the future using backcasting as a scholarly approach. It consists of 6 steps in total and a number of guiding questions for each step to answer. Accordingly, it involves a series of papers of which this paper is the second one, following the earlier papers with steps 1 and 2: strategic problem orientation [ 19 ]. This paper as a sequel leads through the whole of the backcasting study: step 4 with 2 papers, step 5 with 1 paper, and step 6 with 1 paper. All in all, as this is an extensive scholarly project involving description, investigation, synthesis, design, analysis, and compilation, it is deemed more appropriate to divide it into a series of papers.
The remainder of this paper is structured as follows. Section 2 provides a background of the futures study, including a review of the area being researched, the issue of the current situation, and studies and relevant history on the issue. Section 3 focuses on the backcasting methodology, with an emphasis on step 3. Section 4 delves into step 3 of the futures study by answering the 6 guiding questions in more detail following the applied backcasting approach. This paper ends, in Section 5 , with discussion and conclusion.
Sustainable cities are associated with a number of problems, issues, and challenges (i.e., deficiencies, Limitations difficulties, fallacies, and uncertainties) when it comes to their management, planning, design, development, and governance in the context of sustainability (e.g., [ 16 , 17 , 19 , 27 , 28 , 54 ]). This mainly involves the question of how sustainable urban forms should be monitored, understood, and analyzed in order to be effectively planned, designed, developed, managed, and governed in terms of enhancing and maintaining their sustainability performance [ 13 ]. The underlying argument is that more innovative solutions and sophisticated approaches are needed to overcome the kind of wicked problems, unsettled issues, and complex challenges pertaining to sustainable urban forms. This brings us to the current question related to the weak connection of and extreme fragmentation between sustainable cities and smart cities as approaches and landscapes, respectively (e.g., [ 3 , 7 , 13 , 16 , 19 , 20 , 49 ]), despite the great potential of advanced ICT for, and its proven role in, supporting sustainable cities in improving their performance under what is labeled “smart sustainable cities” (e.g., see, [ 7 , 8 , 17 , 49 , 68 ]). In particular, tremendous opportunities are available for utilizing big data computing and the underpinning technologies and their novel applications in sustainable cities to improve, advance, and maintain their contribution to the goals of sustainable development. The main strength of the big data technology is the high influence it will have on many facets of smart sustainable cities and their citizens’ lives (see, e.g., [ 2 , 3 , 4 , 6 , 8 , 13 , 58 , 71 ]).
In light of the above, recent research endeavors have started to focus on smartening up sustainable cities through enhancing and optimizing their operational functioning, management, planning, design, development, and governance in line with the long-term vision of sustainability under what is labeled “smart sustainable cities”([ 7 , 8 , 9 , 12 , 16 , 17 , 19 ], Bibri and Krogstie 2017c). This wave of research revolves around integrating the landscapes of, and the approaches to, sustainable cities and smart cities in a variety of ways in the hopes of reaching the required level of sustainability and improving the living standard of citizens [ 13 ]. This integrated approach tends to take several forms in terms of combining the strengths of sustainable cities and smart cities based on how the concept of smart sustainable cities can be conceptualized and operationalized, just as it has been the case for sustainable cities. Indeed, several topical studies (e.g., [ 3 , 7 , 8 , 13 , 17 , 49 , 50 , 62 , 68 , 81 ]) have addressed the merger of the sustainable city and smart city approaches from a variety of perspectives. Accordingly, there is a host of opportunities yet to explore towards new approaches to smart sustainable urbanism. The focus in this paper is on integrating the design principles and planning practices of sustainable urban forms with big data computing and the underpinning technologies and their novel applications being offered by smart cities of the future. The underlying assumption is that the evolving big data deluge with its extensive sources hides in itself the answers to the most challenging analytical questions as well as the solutions to the most complex challenges pertaining to sustainability in the face of urbanization. It also plays a key role in understanding urban constituents as data agents.
In recent years, there has been a marked intensification of datafication. This is manifested in a radical expansion in the volume, range, variety, and granularity of the data being generated about urban environments and citizens (e.g., [ 46 , 47 , 48 ]), with the primary aim of quantifying the whole of the city, putting it in a data format so it can be organized and analyzed [ 13 ]. We are currently experiencing the accelerated datafication of the city in a rapidly urbanizing world and witnessing the dawn of the big data era not out of the window, but in everyday life. Our urban everydayness is entangled with data sensing, data processing, and communication networking, and our wired world generates and analyzes overwhelming and incredible amounts of data. The modern city is turning into constellations of instruments and computers across many scales and morphing into a haze of software instructions, which are becoming essential to the operational functioning, planning, design, development, and governance of the city. The datafication of spatiotemporal citywide events has become a salient factor for the practice of smart sustainable urbanism.
As a consequence of datafication, a new era is presently unfolding wherein smart sustainable urbanism is increasingly becoming data-driven. At the heart of such urbanism is a computational understanding of urban systems and processes that renders urban life a form of logical rules and algorithmic procedures—which is underpinned and informed by data-intensive scientific approaches to urban science and urban sustainability, while also harnessing urban big data to provide a more holistic and integrated view and synoptic intelligence of the city [ 13 ]. This is increasingly directed towards improving, advancing, and maintaining the contribution of sustainable cities to the goals of sustainable development in an increasingly urbanized world.
We are living at the dawn of what has been termed as “the fourth paradigm of science,” a scientific revolution that is marked by the recent emergence of big data science and analytics as well as the increasing adoption and use of the underlying technologies in scientific and scholarly research practices. Everything about science development and knowledge production is fundamentally changing thanks to the unfolding and soaring data deluge. The upcoming data avalanche is thus the primary fuel of this new age, which powerful computational processes or analytics algorithms are using to generate useful knowledge and deep insights pertaining to a wide variety of practical uses.
As a new area of science and technology, “big data science and analytics embodies an unprecedentedly transformative power—which is manifested not only in the form of revolutionizing science and transforming knowledge, but also in advancing social practices, catalyzing major shifts, and fostering societal transitions. Of particular relevance, it is instigating a massive change in the way both sustainable cities and smart cities are understood, studied, planned, operated, and managed to improve and maintain sustainability in the face of expanding urbanization” ([ 14 ], p. 79). To put it differently, these practices are becoming highly responsive to a form of data-driven urbanism that is the key mode of production for what have been termed smart sustainable cities whose monitoring, understanding, and analysis are increasingly relying on big data technologies.
In a nutshell, the Fourth Scientific Revolution is set to erupt in cities, break out suddenly and dramatically, throughout the world. This is manifested in bits meeting bricks on a vast scale as instrumentation, datafication, and computerization are permeating the spaces we live in. The outcome will impact most aspects of urban life, raising questions and issues of urgent concern, especially those related to sustainability and urbanization. This pertains to what dimensions of cities will be most affected; how urban planning, design, development, and governance should change and evolve; and, most importantly, how cities can embrace and prepare for looming technological disruptions and opportunities.
In light of the above, at the beginning of a new decade, we have the opportunity to look forward and consider what we could achieve in the coming years in the era of big data revolution. Again, we have the chance to consider the desired future of data-driven smart sustainable cities. This will motivate many urban scholars, scientists, and practitioners to think about how the subject of “data-driven smart sustainable cities” might develop, as well as inspire them into a quest for the immense opportunities and fascinating possibilities that can be created by the development and implementation of such cities. In this respect, we are in the midst of an expansion of time horizons in city planning. Sustainable cities look further into the future when forming scenarios and strategies to achieve them. The movement towards a long-term vision arises from three major mega trends or macro-shifts that shape our societies at a growing pace: sustainability, ICT, and urbanization. Recognizing a link between such trends, sustainable cities across the globe have adopted ambitious goals that extend far into the future and developed different pathways to achieve them.
As a special kind of scenario methodology, backcasting is applied here to build a future model for smart sustainable cities as a planning tool for facilitating urban sustainability. Backcasting scenarios are used to explore future uncertainties, create opportunities, build capabilities, and improve decision-making processes. Their primary aim is to discover alternative pathways through which a desirable future can be reached. Following Rotmans et al.’s [ 65 ] taxonomy, scenarios can be classified into different categories, including projective and prospective scenarios, qualitative and quantitative scenarios, participatory and expert scenarios, and descriptive and normative scenarios. This futures study is concerned with a normative scenario, which takes values and interests (sustainability and big data technology) into account and involves reasoning from specific long-term goals that have to be achieved.
In general, the backcasting approach is applicable in futures studies dealing with the fundamental question of backcasting, which involves the kind of actions that must be taken to achieve a long-term goal. In this context, if we want to attain a smart sustainable city, what actions must be taken to get there? Here backcasting means to look at the current situation from a future perspective. As an analytical and deliberative process (Fig. 1 ), backcasting entails articulating an end vision and then developing a pathway to get from the present to that endpoint. In more detail, the backcasting scenario is constructed from the distant future towards the present by defining a desirable future and then moving step-by-step backwards towards the present to identify the strategic steps that need to be taken to attain that specified future. This involves identifying the stumbling blocks on the way and the key stakeholders that should be involved to drive change, as well as developing and assessing the policy pathway in terms of planning practices and development strategies necessary to achieve the future outcome. The use of backcasting in futures studies assumes a vision of an evolutionary process of policy with a time frame of a generation or so, which is a basic principle to allow the policy actions to pursue the path towards, and potentially achieve, a sustainable future. Moreover, in urban sustainability, planning is about figuring out the ‘next steps’ which are quite literally the next concrete actions to undertake. Next steps are usually based on reacting to present circumstances, creativity, intuition, and common sense, but also (conceivably) are still aligned with the future vision and direction. Therefore, researchers in backcasting should not get obsessed with the next steps without considering how aligned they are with what they ultimately aim to achieve.
The backcasting process from the natural step. Source: Holmberg [ 37 ]
Figure 1 illustrates the backcasting process in which the future desired conditions are envisioned and steps are then defined to attain those conditions. In this regard, envisioning the smart sustainable city as a future vision has a normative side: what future is desired? Backcasting this preferred vision has an analytical side: how can this desirable future be attained? Backcasting is about analyzing possible ways of attaining certain futures as well as their feasibility and potential [ 56 ]. Specifically, in the quest for the answer to how to reach specified outcomes in the future, backcasting involves finding ways of linking goals that may lie far ahead in the future to a set of steps to be taken now and designed to achieve that end, and also facilitates discovery [ 29 ].
Backcasting is viewed as a natural step in operationalizing sustainable development [ 38 ] within different societal spheres. In terms of its practical application, backcasting is increasingly used in futures studies in the fields related to sustainable urban planning as a formal element of future strategic initiatives. It is the most applied approach in futures studies when it comes to sustainability problems and the identification and exploration of their solutions. This involves a wide variety of areas, including strategic city planning (e.g., [ 59 ]), sustainable city design [ 23 ]. transportation and mobility (Banister et al. 2000), sustainable transportation systems (Akerman and Höjer 2006; [ 39 , 66 ]), sustainable technologies and sustainable system innovation [ 76 ], sustainable household (Green and Vergragt 2002; [ 57 ]), and sustainable transformation of organizations [ 37 ]. Backcasting studies must reflect solutions to a specified social problem in the broader sense [ 29 ]. Bibri [ 10 ] concludes that the backcasting approach is found to be well-suited for long-term urban sustainability problems and solutions due to its normative, goal-oriented, and problem-solving character. Generally, as argued by Dreborg [ 29 ], backcasting is particularly useful when:
The problem to be studied is complex and there is a need for major change
The dominant trends are part of the problem
The problem to a great extent is a matter of externalities
The scope is wide enough and time horizon is long enough to leave considerable room for deliberate and different choices and directions of development.
Bibri [ 10 ] has recently conducted a comprehensive study on futures studies and related approaches. Its main focus is on backcasting as a scholarly and planning approach to strategic smart sustainable city development. Its main objectives are to review the existing backcasting methodologies and to discuss the relevance of their use in terms of their steps and guiding questions for analyzing, investigating, and developing smart sustainable cities, as well as to synthesize a backcasting approach based on a number of notable future studies. Later, Bibri and Krogstie [ 19 ] adapted the approach, i.e., made minor changes so as to improve and clarify it in accordance with the overall aim of this futures study as well as the specificity of the proposed model. Indeed, a commonly held view is that the researchers’ worldview and purpose remain the most important criteria for determining how futures studies can be developed and conducted in terms of the details concerning the questions guiding the steps involved in a particular backcasting approach. This helps to identify and implement strategic decisions associated with urban sustainability. However, the outcome of the adapted synthesized approach is illustrated in Table 1 .
As the focus in this paper is on step 3, it is important to point out that the backcasting approach is traditionally based on one normative vision, but multiple visions can also be used to explore different future alternatives (e.g., [ 72 ]). In this futures study, step 3 of backcasting constructs only one future vision based on the objectives, goals, and targets specified in step 1, indicating an integrated solution to a set of problems and challenges associated with existing sustainable urban forms, with support of advanced technologies. In addition, the development of the future vision is typically performed after the stage of analyzing the current situation and assessing the external factors (steps 1 and 2 of the backcasting study). While some views defend that a prior evaluation grounds the vision in realism, others argue that it curtails the ability to think of “ideal states” by putting the current circumstances and capabilities at the center of attention. However, this prescribed vision of the future is based on a sequential progression into the future of the current trends and the expected developments and the way they intertwine with and affect one another in relation to smart sustainable cities, without sharp transformation. It is also based on a combination of technological innovations and sustainability advancements, or on the co-evolutionary pathways of social and ecological systems.
Constructing the future vision entails defining and describing a desirable future in which the problems and issues identified in relation to existing sustainable urban forms have been solved by meeting the stated objectives and thus achieving the specified goals and targets described in step 1 (see [ 19 ] for a detailed account and discussion). In general, future vision construction is about identifying the desired future state, which consists of vibrant descriptions of audacious goals and targets, as well as reflective statements addressing the aspired future. It is important to note at this stage that the vision of the future and the proposed novel model tend to be used interchangeably in this paper. Indeed, this vision represents a short and concise version of this model. In other words, this model entails a desired future state that is supposed to be more detailed at the end of this scholarly backcasting endeavor.
The future vision is a result of the concept of urban sustainability as clarified, advocated, and advanced by many scholars, academics, theorists, and practitioners in the field, and demonstrated in numerous real-world cities across the globe, especially within ecologically advanced nations. According to several rankings, Sweden, Norway, Finland, Germany, and the Netherlands have the highest level of sustainable development practices (e.g, [ 30 ]). However, the development of the novel model for smart sustainable cities of the future is supported by several case studies from Sweden as well as their integration in terms of the planning practices and development strategies through which sustainable urban forms can be achieved. Additionally, this model involves the way instrumentation, datafication, and computerization are opening up dramatically different forms of optimizing and enhancing the performance of such forms, thereby increasing their contribution to the goals of sustainable development. This entails the ways in which the informational landscape of smart cities as underpinned by big data technologies and their novel applications can be integrated with the physical landscape of sustainable cities, and what this implies in regard to increasing their sustainability benefits. The essence of the idea revolves around the need to harness, analyze, and leverage the deluge of urban data that has hitherto been mostly associated with smart cities but has clear synergies in the functioning, planning, and development of sustainable cities in terms of improving, advancing, and maintaining their contribution to sustainability.
The problems and issues that the sustainable city faces today will, especially if its landscape and strategy continues to be extremely fragmented from and weakly connected with those of the smart city at the technical and policy levels, increase in the future with possibly much greater compounding effects due to the rapid urbanization of the world and the mounting challenges of sustainability in a rather increasingly technologized and computerized world. As a scholarly endeavor, the development of the novel model for smart sustainable cities of the future as a holistic approach to city planning and development is primarily aimed at bringing together and interlinking the sustainable city and smart city landscapes and strategies so as to address and overcome a set of challenging problems associated with the existing sustainable urban forms. This requires finding more creative and effective ways of merging sustainability knowledge with advanced technologies to enhance the performance of such forms in the face of urbanization using cutting-edge technologies. This can be accomplished by amalgamating the compact city with the eco-city into one model of sustainable urban form in terms of the underlying typologies and design concepts as planning practices, and then augmenting this model with big data technologies and their novel applications as a set of innovative solutions and sophisticated approaches being offered by the data-driven city. In this respect, city operating system, operations centers, innovation and living labs, and strategic planning and policy offices will handle the activity of generating, processing, and analyzing the data deluge aimed at adopting those innovation solutions and sophisticated approaches in the context of the smart sustainable city. Practical uses and applications in this regard span a range of urban systems and domains in terms of operations, functions, services, designs, strategies, and policies with respect to sustainability.
The future vision has a high expectation on big data technology to deliver the needed solutions and approaches to meet the optimal level of sustainability and enable the built environment to function in a more constructive way than at present in terms of lowering energy consumption, mitigating pollution, and minimizing waste, as well as in terms of improving equity, inclusion, and the quality of life. This is to be determined by whether and the extent to which a given city is currently badging or regenerating itself as, or manifestly planning to be, sustainable or smart sustainable. And what this entails in terms of long-term targets of sustainable development as set by that city, in particular in connection with its design concepts, typologies, spatial organizations, and scale stabilizations as planning practices. In the short term, although big data technology could theoretically help meet the optimal level of sustainability and enable the instrumentation, datafication, and computerization of the built environment towards purposeful urban functioning and planning, this would be difficult and expensive. Nevertheless, the future vision can be feasible because it has to be realized over the long run.
The technological vision is based on the assumption of a full development, integration, and deployment of big data computing and the underpinning technologies which exist today and are likely to become widely available in the years ahead to achieve the sought goals. The incorporation of these advanced technologies into urban environments is supported by their untapped potential for and proven role in overcoming the problems and challenges of urbanization and sustainability. In this respect, big data computing and the underpinning technologies will be determining in the process of redesigning and restructuring urban places to achieve the optimal level of sustainability.
The key goal to be necessarily present in any backcasting endeavor is generating the normative alternative for the future and, as related to step 5 which is to be addressed in one of the upcoming papers, analyzing its opportunities, potentials, environmental and social benefits, and other effects.
Taking the prevailing and emerging trends to the extreme with the main expected developments (the outcome of step 2) in mind, we singled out one major societal driver for one scenario: a situation that is most likely to happen in the future:
A scenario where innovations and advancements in big data science and analytics and the underpinning technologies as a disruptive form of science and technology dramatically changes the rules by which society functions on a global scale.
Accordingly, the futures study envisions the smart sustainable city as:
A form for human settlements that will be able to improve, advance, and maintain its contribution to the goals of sustainable development by being pervaded, monitored, understood, and analyzed by advanced ICT. As such, it is to be realised by the planning practices and design strategies pertaining to the most advocated and prevalent models of sustainable urban form as integrated—as well as underpinned by big data computing and the underlying core enabling technologies in terms of the instrumentation, datafication, and analytics of the built environment. Related sophisticated approaches and novel applications will be developed, applied, and enhanced by a number of strategic urban actors, including urban operations centers, urban services agencies, strategic planning and design offices, policymaking bodies, research centers, and innovation and living labs. The main strategic goal of the future model of data–driven smart sustainable urban form is to secure and uphold environmentally sound, socially beneficial, and economically viable development towards achieving sustainability.
In light of the above, envisaging the smart sustainable city of the future focuses on the urban and technological components and how they should be integrated that make the city functions as a smart sustainable entity as well as a social organism. Central to this quest is the idea of big data computing and the underpinning technologies as an advanced form of ICT penetrating wherever and whatever it can of the built environment to improve and sustain the performance of what and how urban stakeholders can envision and enact in terms of new forms of cities with regard to sustainability. Furthermore, advanced ICT comes into play as a response to the commonly held view that cities should be conceived in terms of both urban strategies and processual outcomes of urbanization, which involves questions related to the behavior of inhabitants; the processes of living, consuming, and producing; and the processes of building urban environments—in terms of whether these are sustainable. The underlying assumption is that conceiving cities only in terms of, or accounting only for, urban strategies to make cities more sustainable remains inadequate to achieve the elusive goals of sustainable development.
As hinted at above, the novel model for smart sustainable cities of the future, the more detailed version of the future vision, integrates two models of sustainable urban form: the compact city and the eco-city, with the data-driven city. This will result in a holistic approach to urbanism, which is different, to a great extent, from these cities taken separately as existing approaches to urbanism. Worth pointing out, to reiterate, is that the focus of this amalgamation is on the design concepts and typologies characterizing both the compact city (i.e., compactness, density, diversity, mixed-land use, and sustainable transport) and the eco-city (i.e., renewable resources, passive solar design, ecological and cultural diversity, greening, environmental management, and other key environmentally sound policies) together with the innovative solutions and sophisticated approaches being offered by big data technologies and their novel applications for sustainability, which relate to the data-driven city and its components (i.e., urban operating centers, research centers, living labs, and innovation labs). The nature and scope of this amalgamation are to be determined by how and the extent to which the characteristic features of the data-driven city would dovetail with those of the integrated model of sustainable urban form towards producing what can be described as—data-driven smart sustainable urban form. The possible steps to be taken to attain the smart sustainable city of the future as a desired end-point or future vision is rather the object of step 5 of the backcasting approach, which comes after step 4. This step is concerned with the case studies that need to be performed to strengthen the future vision and thus the novel model with empirical investigation. The guiding questions of these two steps are listed in Table 1 .
Furthermore, it must be noted that there are neither real examples of a truly smart sustainable city that have actually been delivered and thus no precedents to reference, nor future-proofing of the big data technology to ensure that it is able to be adapted, modified, and built upon in an effective way over the next 25 years or so in response to the dynamic changes of technology and fast-moving hi-tech industry. Therefore, the planned big data technology solutions must be evaluated through actual implementation and its successfulness in order to outline the actual opportunity pertaining to the improvement and advancement of urban sustainability. Indeed, big data computing and the underpinning technologies intended to support the smart sustainable city of the future are currently evolving along with those experts and professionals who are needed to support and operate them; sustainability objectives, goals, and directives are increasingly being, and should continue to be, supported and facilitated using this advanced technology as much as possible across urban domains in terms of operations, functions, services, designs, strategies, and policies; and citizens and communities must be involved and engaged with big data technology and related platforms on a far broader scale. The road ahead promises to be an exciting one as more cities become aware of the great potential and clear prospect of integrating the smart city and the sustainable city as landscapes and strategies. In the sequel, we describe the three strands that comprise the novel model for smart sustainable cities of the future as hinted at in the description of the vision of the future above.
There are multiple views on what a sustainable city should be or look like and thus various ways of defining or conceptualizing it. Generally, a sustainable city can be understood as a set of approaches into operationalizing sustainable development in, or practically applying the knowledge about sustainability and related technologies to the planning and design of, existing and new cities or districts. It represents an instance of sustainable urban development, a strategic approach to achieving the long-term goals of urban sustainability. Accordingly, it needs to balance between the environmental, social, and economic goals of sustainability as an integrated process. Specifically, as put succinctly by [ 11 ], p. 11), a sustainable city “strives to maximize the efficiency of energy and material use, create a zero-waste system, support renewable energy production and consumption, promote carbon-neutrality and reduce pollution, decrease transport needs and encourage walking and cycling, provide efficient and sustainable transport, preserve ecosystems and green space, emphasize design scalability and spatial proximity, and promote livability and community-oriented human environments.”
There are different instances of sustainable cities as an umbrella term, which are identified as models of sustainable urban forms, including compact cities, eco-cities, sustainable urbanism, green urbanism, new urbanism, and urban containment, with the first two being often advocated as the most sustainable and environmentally sound models [ 13 ]. In addition, Jabareen [ 40 ] ranks compact cities as more sustainable than eco-cities from a conceptual perspective using a thematic analysis. However, the effects of these models are compatible with the goals of sustainable development in terms of transport provision, mobility and accessibility, travel behavior, energy conservation, pollution and waste reduction, economic viability, life quality, and social equity. Furthermore, there are multiple definitions of compact cities and eco-cities in the literature (e.g., [ 40 , 41 , 42 , 43 , 44 , 45 , 54 , 60 , 61 , 64 , 74 ]). These definitions tend to be based on the wider socio-cultural context in which these models of sustainable urban form are embedded in the form of projects and initiatives and related objectives, requirements, resources, and capabilities. In other words, there is a diversity underneath the various uses of the term compact city and eco-city, as well as a convergence or divergence in the way projects and initiatives conceive of what these city approaches should be.
The concept of the compact city became widespread in the early 1990s as a result of the near clinical separation of land uses because of suburban sprawl that had risen the need for mobility, creating an upsurge in automobile use, which in turn caused high levels of air and noise pollution, as well as decaying city centers. In the 1990s, the European Commission highlighted a number of negative trends in urban development in their Green Paper on the Urban Environment [ 24 ], and therefore argued for denser development, mixed land use, and the transformation of former brownfield sites rather than development in open green areas. Fundamentally, the compact city is characterized by high-density and mixed-land use with no sprawl [ 41 , 42 , 80 ] through the intensification of development, i.e., infill, renewal, redevelopment, and so on. It was around the mid-1990s when the research led to the advocacy of combining compactness and mixed-land use [ 40 ]. Mixed-land use should be encouraged in cities [ 21 ]. In addition, the compact city emphasizes spatial diversity, social mix, sustainable transportation (e.g., transit-rich interconnected nodes), as well as high standards of environmental and urban management systems, energy-efficient buildings, closeness to local squares, more space for bikes and pedestrians, and green areas [ 17 , 19 ]. It has been addressed and can be implemented at different levels, namely neighborhood, district, city, metropolitan, and region, and involves many strategies that can avoid all the problems of modernist design in cities by enhancing the underlying environmental, social, and economic justifications and drivers. Neuman [ 54 ] identifies and enumerates the key dimensions of the compact city in Table 2 .
The compact city is more energy efficient and less polluting because people live in close proximity to workplaces, shops, and leisure and service facilities, which enables them to walk, bike, or take transit. This is in turn anticipated to create a better quality of life by creating more social interaction, community spirit, and cultural vitality (Jenks and Jones 2010). Further, travel distances between activities are shortened due to the heterogeneous zoning that enables compatible land uses to locate in close proximity to one another—mixed-land uses. Such zoning primarily reduces the use of automobiles (car dependency) for commuting, leisure, and shopping trips [ 1 , 75 ]. Integrating land use, transport, and environmental planning is key to minimizing the need for travel and to promoting efficient modes of transport [ 67 ]. Transport systems play particularly an important role in the livability of contemporary cities [ 55 ]. The interrelationship between transport, people, and amenities are argued to be the vital elements of the micro-structure of a sustainable city [ 32 ]. Important to note is that population densities are sufficient for supporting local services and businesses [ 80 ] in terms of economic viability. In high-density development, more land is available for green and agricultural areas, public transport services are superior, and the environmental footprint of the non-renewable resource consumption is steady [ 69 ].
In sum, the compact city model has been advocated as more sustainable urban form due to several reasons: “First, compact cities are argued to be efficient for more sustainable modes of transport. Second, compact cities are seen as a sustainable use of land. By reducing sprawl, land in the countryside is preserved and land in towns can be recycled for development. Third, in social terms, compactness and mixed uses are associated with diversity, social cohesion, and cultural development. Some also argue that it is an equitable form because it offers good accessibility. Fourth, compact cities are argued to be economically viable because infrastructure, such as roads and street lighting, can be provided cost-effectively per capita.” ([ 40 ], p. 46).
The idea of the eco-city is widely varied in conceptualization and operationalization, and also difficult to delineate. According to the most comprehensive survey of eco-cities to date performed by Joss [ 43 ], the diversity and plurality of the projects and initiatives reflected in the use of the term “eco-city” across the globe make it difficult to develop a meaningful definition. Therefore, the concept of the eco-city has taken on many definitions in the literature. Richard Register, an architect widely credited as the first to have coined the term, describes an eco-city as “an urban environmental system in which input (of resources) and output (of waste) are minimized” [ 61 ]. Joss [ 44 ] states that an eco-city must be, using three analytical categories, developed on a substantial scale, occurring across multiple domains, and supported by policy processes. As an umbrella metaphor, the eco-city “encompasses a wide range of urban-ecological proposals that aim to achieve urban sustainability. These approaches propose a wide range of environmental, social, and institutional policies that are directed to managing urban spaces to achieve sustainability. This type promotes the ecological agenda and emphasizes environmental management through a set of institutional and policy tools.” ([ 40 ], p. 47) This implies that realizing an eco-city requires making countless decisions about urban design, governance, sustainable technologies, and so on [ 60 ]. This in turn signifies that the relationship between sustainable development objectives and urban planning interventions is a subject of much debate [ 22 , 79 ].
Irrespective of the way the idea of the eco-city has been conceptualized and operationalized, there are still some criteria that have been proposed to identify what a desirable or ideal “eco-city” is or looks like, comprising the environmental, social and economic goals of sustainable development. Roseland [ 64 ] and Harvey [ 35 ] describe an ideal “eco-city” as a city that fulfills the following requirements:
Operates on a self-contained local economy that obtains resources locally
Maximizes energy and water efficiency, thereby promoting conservation of resources
Manages an ecologically beneficial waste management system that promotes recycling and reuse to create a zero-waste system
Promotes the use and production of renewable energy, thereby being entirely carbon-neutral
Has a well-designed urban city layout that promotes walkability, biking, and the use of public transportation systems
Ensures decent and affordable housing for all socio-economic and ethnic groups and improves jobs opportunities for disadvantaged groups
Supports urban and local farming
Supports future progress and expansion over time.
As added by Graedel [ 33 ], the eco-city is scalable and evolvable in design in response to urban growth and need changes. Based on these characteristic features, the eco-city and green urbanism overlap or share several concepts, ideas, and visions in terms of the role of the city and positive urbanism in shaping more sustainable places, communities, and lifestyles [ 5 ], pp. 6–8, cited in [ 40 ]) views, while arguing for the need for new approaches to urbanism to incorporate more ecologically responsible forms of living and settlement, a city exemplifying green urbanism as one that:
strives to live within its ecological limits;
is designed to function in ways analogous to nature;
strives to achieve a circular rather than a linear metabolism;
strives towards local and regional self-sufficiency;
facilitates more sustainable lifestyles; and
emphasizes a high quality of neighborhood and community life.
The eco-city approaches tend to emphasize different aspects of sustainability, namely passive solar design, greening, sustainable housing, sustainable urban living, and living machines [ 40 ]. Worth noting is that, as a general consensus, the eco-city is eco-amorphous (formless) in terms of typologies, although it emphasizes passive solar and ecological design [ 40 ]. Indeed, it is evident that the form specificities are on less focus in eco-city development. That is to say, the built environment of the city in terms of urban design features and spatial organizations is insignificant, unlike the compact city which focuses on the spatial patterns of physical objects. Rather, what counts most is how the city as a social fabric is organized, managed, and governed. In this line of thinking, [ 70 ], p. 37), state, ‘social, economic, and cultural variables are far more important in determining the good city than any choice of spatial arrangements.’ In view of that, the focus is on the role of different environmental, social, economic, institutional, and land use policies in managing and governing the city to achieve the required level of sustainability (e.g., [ 25 , 40 , 63 ]).
“Data-driven smart sustainable cities” is a term that has recently gained traction in academia, government, and industry to describe cities that are increasingly composed and monitored by ICT of ubiquitous and pervasive computing and thus have the ability of using advanced technologies by city operations centers, strategic planning and policy offices, research centers, innovation labs, and living labs for generating, processing, and analyzing the data deluge in order to enhance decision making processes and to develop and implement innovative solutions for improving sustainability, efficiency, resilience, equity, and the quality of life [ 13 ]. It entails developing a citywide instrumented system (i.e., inter-agency control, planning, innovation, and research hubs) for creating and inventing the future. For example, a data-driven city operations center, which is designed to monitor the city as a whole, pulls or brings together real-time data streams from many different agencies spread across various urban domains and then analyze them for decision making and problem solving purposes: optimizing, regulating, and managing urban operations (e.g., traffic, transport, mobility, energy, etc.).
As cities are routinely embedded with all kinds of ICT forms, including infrastructures, platforms, systems, devices, sensors and actuators, and networks, the volume of data generated about them is growing exponentially and diversifying, providing rich, heterogenous streams of information about urban environments and citizens. This data deluge enables a real-time analysis of different urban systems and interconnects data to provide detailed views of the relationships between various forms of data that can be utilized for improving the various aspects of urbanity through new modes of operational functioning, planning, development, and governance in the context of sustainability.
Cities are becoming ever more computationally augmented and digitally instrumented and networked, their systems interlinked and integrated, their domains combined and coordinated, and their networks coupled and interconnected, and consequently, vast troves of urban data are being generated and used to regulate, control, manage, and organize urban life in real time. In other words, the increasing pervasiveness of urban systems, domains, and networks utilizing digital technologies is generating enormous amounts of digital traces capable of reflecting in real time how people make use of urban spaces and infrastructures and how urban activities and processes are performed. This informational asset is being leveraged in steering cities. Indeed, citizens leave their digital traces just about everywhere they go, both voluntarily and involuntarily, and when cross-referenced with each citizen’s spatial, temporal, and geographical contexts, the data harnessed at this scale offers a means of describing, and responding to, the dynamics of the city in real time. In addition to individual citizens, city systems, domains, and networks constitute the main source of data deluge, which is generated by various urban entities, including governmental agencies, authorities, administrators, institutions, organizations, enterprises, and communities by means of urban operations, functions, services, designs, strategies, and policies.
Smart cities are increasingly connecting the ICT infrastructure, the physical infrastructure, the social infrastructure, and the economic infrastructure to leverage their collective intelligence, thereby striving to render themselves more sustainable, efficient, functional, resilient, livable, and equitable. It follows that smart cities of the future seek to solve a fundamental conundrum of cities—ensure sustainable socio-economic development, equity, and enhanced quality-of-life at the same time as reducing costs and increasing resource efficiency and environment and infrastructure resilience. This is increasingly enabled by utilizing a fast-flowing torrent of urban data and the rapidly evolving data analytics technologies; algorithmic planning and governance; and responsive, networked urban systems. In particular, the generation of colossal amounts of data and the development of sophisticated data analytics for understanding, monitoring, probing, regulating, and planning the city are significant aspects of smart cities that are being embraced by sustainable cities to improve, advance, and maintain their contribution to the goals of sustainable development (e.g., [ 8 , 13 , 17 , 18 ]). Indeed, there has recently been much enthusiasm in the domain of smart sustainable urbanism about the immense possibilities and fascinating opportunities created by the data deluge and its extensive sources with regard to optimizing and enhancing urban operational functioning, management, planning, design, and development in line with the goals of sustainable development as a result of thinking about and understanding sustainability and urbanization and their relationships in a data-analytic fashion for the purpose of generating and applying knowledge-driven, fact-based, strategic decisions in relation to such urban domains as transport, traffic, mobility, energy, environment, education, healthcare, public safety, public services, governance, and science and innovation. For supra-national states, national governments, and city officials, smart cities offer the enticing potential of environmental and socio-economic development, and the renewal of urban centers as hubs of innovation and research (e.g., [ 2 , 4 , 13 , 19 , 46 , 51 , 71 ]). While there are several main characteristics of a smart city as evidenced by industry and government literature (e.g., [ 36 , 46 ] for an overview), the one that the futures study, and thus this paper, is concerned with focuses on environmental and social sustainability.
The framework for the data-driven smart sustainable city illustrated in Fig. 2 entails specialized urban, technological, organizational, and institutional elements dedicated for improving, advancing, and maintaining the contribution of such city to the goals of sustainable development [ 13 ]. It is derived based on thematic analysis and technical literature. This justifies the relationship between the underlying components. Furthermore, underlying the idea of the data-driven smart sustainable city is the process of drawing all the kinds of analytics associated with urban life into a single hub, supported by the broader public and open data analytics. This involves creating a city-wide instrumented or centralized system that draws together data streams from many agencies (across city domains) for large scale analytics and then direct them to different centers, labs, and offices. Urban operating systems explicitly link together multiple urban technologies to enable greater coordination of urban systems and domains. Urban operations centers attempt to draw together and interlink urban big data to provide integrated and holistic views and synoptic city intelligence through processing, analyzing, visualizing, and monitoring the vast deluge of urban data that can be used for real-time decision-making pertaining to sustainability by means of big data ecosystems. Strategic planning and policy centers serve as a data analytic hub to weave together data from many diverse agencies to control, manage, regulate, and govern urban life more efficiently and effectively in relation to sustainability. This entails an integration that enables systemwide effects to be understood, analyzed, tracked, and built into the very designs and responses that characterize urban operations, functions, and services. As far as research centers and innovation labs are concerned, they are associated with research and innovation for the purpose of developing and disseminating urban intelligence functions. For the anatomy of the data-driven smart sustainable city in terms of digital instrumentation, datafication, computerization, as well as urban operations centers, strategic planning and policy offices, living labs, innovations labs, urban intelligence functions, and so on, the reader can be directed to Bibri [ 15 ].
A framework for the data-driven smart sustainable city. Source: Adapted from Bibri [ 15 ]
The arguments, a set of reasons given in support of the novel model for smart sustainable cities of the future, are compiled and distilled from the outcome of step 2 of the backcasting study conducted by Bibri and Krogstie [ 19 ]. There are many reasons for integrating the existing models of sustainable urban form as a set of practices, or many explanations of controlling the concepts and principles of these practice in the domain of urban sustainability. This applies also to the integration of the sustainable city and the data-driven city as different approaches to urbanism. Here, we identify the key reasons in relevance to the aim of the futures study. This is accordingly to justify the research pursuit of analyzing, investigating, and developing the proposed model for smart sustainable city of the future.
Being one of the most significant intellectual and practical challenges for three decades, the development of a desirable model of sustainable urban form continues to motivate and inspire collaboration between researchers, academics, and practitioners to create more effective design and planning solutions based on a more integrated and holistic perspective.
Different scholars and planners may develop different combinations of design concepts to achieve the goals of sustainable development. They might come with different forms, where each form emphasizes different concepts and contributes differently to sustainability.
Sustainable urban forms have many overlaps among them in their concepts, ideas, and visions. While there is nothing wrong with such forms being different yet compatible and not mutually exclusive, it can extremely be beneficial and strategic to find innovative ways of combining their distinctive concepts and key differences towards more holistic forms for improving sustainability performance.
Compact cities have a form as they are governed by static planning and design tools, whereas eco-cities are amorphous: without a clearly defined form, thereby the feasibility and potential of their integration into one model that can eventually accelerate sustainable development towards achieving the optimal level of sustainability.
Neither real-world cities nor academics have yet developed convincing models of sustainable urban form, and the components of such form are still not yet fully specified.
More in-depth knowledge on planning practices is needed to capture the vision of sustainable urban development, so too is a deeper understanding of the multi-faceted processes of change to achieve sustainable urban forms. This entails conceptualizing multiple pathways towards attaining this vision and developing a deeper understanding of the interplay between social and technical solutions for sustainable urban forms.
Smart urbanism as being predominately driven by big data computing and the underpinning technologies has recently revived the debate about sustainable cities, and promises to add a whole new dimension to sustainability by enhancing the outcome of the design principles and strategies underlying the existing models of sustainable urban form in ways that enable such form to achieve the optimal level of sustainability.
It is an urban world where the physical landscape of sustainable cities and the informational landscape of smart cities are increasingly being merged. Hence, it is high time for sustainable urban forms to embrace and leverage what data-driven smart cities have to offer in terms of innovative solutions and sophisticated approaches to overcome the complex challenges of sustainability and urbanization.
A large part of research within the emerging area of smart sustainable cities focuses on exploiting the potentials and opportunities of advanced technologies and their novel applications to mitigate or overcome the issue of sustainable cities and smart cities being extremely fragmented as landscapes and weakly connected as approaches, especially at the technical and policy levels.
There is huge potential for using big data computing and the underpinning technologies to advance sustainable urban forms through novel approaches to decision support in the form of intelligence functions enabled by the analytical power of the deluge of urban data.
Tremendous opportunities are available for utilizing big data applications in sustainable cities to optimize and enhance their operations, functions, services, designs, strategies, and policies, as well as to find answers to challenging analytical questions and thereby advance knowledge.
As an integrated and holistic approach, smart sustainable cities tend to take multiple forms of combining the strengths of sustainable cities and smart cities based on how the concept of smart sustainable cities can be conceptualized and operationalized. As a corollary of this, there is a host of unexplored opportunities towards new approaches to smart sustainable urban development.
The issue of sustainable urban forms has always been problematic and daunting to deal with. In view of that, the intellectual challenge to produce a theoretically and practically convincing model of sustainable urban form with clear components continues to induce scholars, academics, planners, scientists, and real-world cities even to create a more successful and robust model of such form. In addition, the contribution of the existing models of sustainable urban form to sustainability has, over the last three decades or so, been subject to much debate, generating a growing level of criticism that essentially questions its practicality, intellectual foundation, and added value.
Developing the model for smart sustainable cities of the future is aimed at improving, advancing, and sustaining the contribution of sustainable urban forms to the goals of sustainable development with support of big data computing and the underpinning technologies as an advanced form of ICT. This is due to the underlying potential for enhancing and optimizing urban operations, functions, designs, services, strategies, and practices in line with the goals of sustainable development, as well as for solving a number of problems, addressing key issues, and overcoming complex challenges in the context of sustainable urban forms. These are distilled and compiled from an extensive interdisciplinary literature review and the outcome of step 2 of the backcasting study ([ 16 , 19 ]) (Table 3 ).
Big data applications are increasingly permeating the systems and domains of sustainable cities. This can be seen as a new ethos added to the era of sustainable urbanism in response to the rise of ICT and the spread of urbanization as major global shifts at play today. The characteristic spirit of this era is manifested in the behavior and aspiration of sustainable cities towards embracing what big data computing and the underpinning technologies have to offer in order to bring about sustainable development and thus achieve sustainability under what is labeled “smart sustainable cities of the future.” The range of the emerging big data applications as novel analytical and practical solutions that can be utilized for enhancing the sustainability performance of sustainable cities is potentially huge. A recent study conducted by Bibri [ 13 ] reveals that tremendous opportunities are available for utilizing big data applications to improve, advance, and maintain the contribution of sustainable cities to the goals of sustainable development. This finding is based on identifying, synthesizing, distilling, and enumerating the most common big data applications in relation to a number of urban domains or sub-domains, as well as elucidating their sustainability effects associated with the underlying functionalities pertaining to these domains or sub-domains. These specifically include transport and traffic, mobility, energy, power grid, environment, buildings, infrastructures, urban planning, urban design, governance, healthcare, education, public safety, and academic and scientific research.
The potential of big data technology lies in enabling sustainable cities to harness and leverage their informational landscape in effectively understanding, monitoring, probing, and planning their systems in ways that enable them to achieve the optimal level of sustainability. To put it differently, the use of this advanced technology is projected to play a significant role in realizing the key characteristic features of such cities, namely the efficiency of operations and functions, the efficient utilization of natural resources, the intelligent management of infrastructures and facilities, the lowering of pollution and waste, the improvement of the quality of life and well-being of citizens, and the enhancement of mobility and accessibility.
Long-lasting and substantive transformations such as sustainability transitions can only come about through the accumulation of several integrated smaller-scale actions associated with strategically successful initiatives and programs. The backcasting approach to futures studies can help to highlight such initiatives and programs, and also play a key role in sustaining the momentum in the quest to bring about major transformations. In the context of city planning and development, this approach can be used to illustrate what might happen to cities in order to allow them to adapt to perceived future trends and to manage uncertainty. As such, it aids in dealing with this uncertainty by clarifying what the most desirable possibilities are, what can be known, what is already known, as well as how today’s decisions may play out in each of a variety of plausible futures. Futures studies using backcasting approaches allow for a better understanding of future opportunities and exploring the implications of alternative development paths that can be relied on to avoid the impacts of the future. There is a strong belief that future-orientated planning can change development paths. The interest in the future of smart sustainable cities is driven by the aspiration to transform the continued urban development path. Therefore, it is worthy to venture some thoughts about where it might be useful to channel the efforts now and in the future in relation to smart sustainable urban planning and development. The backcasting scenario, a description of possible actions in the future, starts with constructing the vision of the future and then works backwards in time step-by-step to figure out how this future could emerge as a particular “desired end-point” through identifying the necessary steps to reach it.
This paper aimed to generate a vision for smart sustainable cities of the future by answering the 6 guiding questions for step 3 of the futures study being conducted. We described the terms of reference for the future vision under the visionary approach. These terms entail the scope and limitation of the area of knowledge to be focused on and the description of the structure and objectives of the futures study. Then, we described how the future vision look like, more specifically, the novel model for smart sustainable cities of the future and its role in achieving the optimal level of sustainability. Following this, we detailed how the proposed model is different from existing approaches to urbanism, namely compact cities, eco-cities, data-driven smart cities by describing and discussing the three strands that comprise this model, as well as how they intertwine with one another in the context of sustainability. This was justified by providing the rationale for developing the future vision, which represents the short and concise version of the respective model. Of particular importance, we provided a tabulation version of the review and discussion of the sustainability problems and issues that are supposed to be tackled by meeting the objectives stated and thus achieving the goals specified in step 1 of the backcasting study. In relation to this, we provided an account of the kind of technologies and their novel applications that are intended to be used as part of the proposed model.
Working with a long-term image of the future is meant to increase the possibilities of, and accelerate the movement towards, reaching a smart sustainable city. In this regard, the novel model for smart sustainable cities of the future will be the boost to new forms of policy analysis and planning in the era of big data revolution, and the greatest impacts of big data technology will be on the way we improve, advance, and maintain the contribution of sustainable cities to the goals of sustainable development in the future by means of integrating urban strategies and technological innovations. The main goal of big data technology is to provide intelligence functions that will make this possible in the most effective ways.
Worth pointing out is that smart sustainable cities as an integrated model take multiple forms of combining the strengths of sustainable cities and smart cities based on how the concept of smart sustainable cities can be conceptualized and operationalized. Just as it has been the case for sustainable cities: there are multiple visions of, and pathways towards achieving, sustainable urban development. As a corollary of this, there is a host of unexplored opportunities towards new approaches to smart sustainable urban planning and development. These future endeavors reflect the characteristic spirit and prevailing tendency of the ICT-sustainability-urbanization era as manifested in its aspirations for directing the advances in ICT of pervasive computing towards addressing and overcoming the challenges of sustainability and urbanization in the defining context of smart sustainable cities of the future.
Similarly, in relation to backcasting as a planning approach, multiple visions can be used to explore different future alternatives as to smart sustainable cities. It is important, though, to take into consideration that big data technologies as part of future visions seem to be de-urbanized in the sense of not being made to work within a particular urban context, or to be tailored to different urban landscapes and strategies. Besides, it is unfeasible simply to plop down advanced technologies and force them to work in a given urban space. Cities are so characterized by key specificities such that technology systems might work in one city and not be desirable in another, unless they are dramatically reworked or reshaped to be practical in those cities where they have to be implemented. Hence, there is a need for urbanizing big data technologies and in different directions, we content and advocate, when it comes to generating future visions. With that in mind, the future vision this paper is concerned with pertains to cities in ecologically and technologically advanced nations.
Not applicable
Alberti M (2000) Urban form and ecosystem dynamics: empirical evidence and practical implications. In: Williams K, Burton E, Jenks M (eds) Achieving sustainable urban form. E & FN Spon, London, pp 84–96
Google Scholar
Al Nuaimi E, Al Neyadi H, Nader M, Al-Jaroodi J (2015) Applications of big data to smart cities. J Internet Serv Appl 6(25):1–15
Angelidou M, Psaltoglou A, Komninos N, Kakderi C, Tsarchopoulos P, Panori A (2017) Enhancing sustainable urban development through smart city applications. J Sci Technol Policy Manage:1–25
Batty M, Axhausen KW, Giannotti F, Pozdnoukhov A, Bazzani A, Wachowicz M, Ouzounis G, Portugali Y (2012) Smart cities of the future. Eur Phys J 214:481–518
Beatley T (2000) Green urbanism: learning from European cities. Island Press, Washington, DC
Bettencourt LMA (2014) The uses of big data in cities. Santa Fe Institute, Santa Fe
Book Google Scholar
Bibri SE (2018a) Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Springer, Berlin
Bibri SE (2018b) The IoT for smart sustainable cities of the future: an analytical framework for sensor–based big data applications for environmental sustainability. Sustain Cities and Soc 38:230–253
Article Google Scholar
Bibri SE (2018c) A foundational framework for smart sustainable city development: theoretical, disciplinary, and discursive dimensions and their synergies. Sustain Cities Soc 38:758–794
Bibri SE (2018d) Backcasting in futures studies: a synthesized scholarly and planning approach to strategic smart sustainable city development. Eur J Future Res:2–27
Bibri SE, Krogstie J (2017) The core enabling technologies of big data analytics and context-aware computing for smart sustainable cities: a review and synthesis. J Big Big Data 4(38):1–50
Bibri SE (2019a) On the sustainability of smart and smarter cities in the era of big data: an interdisciplinary and transdisciplinary literature review. J Big Data 6(25):2–64
Bibri SE (2019b) Big data science and analytics for smart sustainable urbanism: unprecedented paradigmatic shifts and practical advancements. Springer, Germany, Berlin
Bibri SE (2019c) The Sciences Underlying Smart Sustainable Urbanism: Unprecedented Paradigmatic and Scholarly Shifts in Light of Big Data Science and Analytics. Smart Cities 2(2):179–213
Bibri SE (2019d) The anatomy of the data-driven smart sustainable city: instrumentation, datafication, computerization and related applications. J Big Data 6:59
Bibri SE, Krogstie J (2017a) Smart sustainable cities of the future: an extensive interdisciplinary literature review. Sustain Cities Soc 31:183–212
Bibri SE, Krogstie J (2017b) ICT of the new wave of computing for sustainable urban forms: their big data and context-aware augmented typologies and design concepts. Sustain Cities Soc 32:449–474
Bibri SE, Krogstie J (2018) The big data deluge for transforming the knowledge of smart sustainable cities: a data mining framework for urban analytics, proceedings of the 3d annual international conference on smart city applications. ACM, Tetouan
Bibri SE, Krogstie J (2019) A Scholarly Backcasting Approach to a Novel Model for Smart Sustainable Cities of the Future: Strategic Problem Orientation, Journal of City, Territory, and Architecture (in press).
Bifulco F, Tregua M, Amitrano CC, D’Auria A (2016) ICT and sustainability in smart cities management. Int J Public Sect Manage 29(2):132–147
Breheny M (ed) (1992) Sustainable development and urban form. Pion, London
Bulkeley H, Betsill M (2005) Rethinking sustainable cities: multilevel governance and the “urban” politics of climate change. Environ Politics 14(1):42–63
Carlsson-Kanyama A, Dreborg KH, Eenkhorn BR, Engström R, Falkena B (2003) Image of everyday life in the future sustainable city: experiences of back-casting with stakeholders in five European cities. The Environmental Strategies Research Group (Fms)—report 182, The Royal Institute of Technology, Stockholm, Sweden, 2003. Report available at/react-text
CEC (1990) Green paper on the urban environment – communication from the Commission to the Council and the Parliament. Commission of the European Communities (CEC), Brussels
Council of Europe (1993) The European urban charter—standing conference of local and regional authorities of Europe.
David D (2017) Environment and urbanization. Int Encyclopedia Geogr 24(1):31–46. https://doi.org/10.1002/9781118786352.wbieg0623
Dempsey N, Jenks M (2010) The future of the compact city. Built Environ 36(1):116–121
De Roo G (2000) Environmental conflicts in compact cities: complexity, decision - making, and policy approaches. Environment and Planning B: Planning and Design 27:151–162
Dreborg KH (1996) Essence of backcasting. Futures 28(9):813–828
Dryzek JS (2005) The politics of the earth: environmental discourses 2nd ed. Oxford University Press, Oxford
Estevez E, Lopes NV, Janowski T (2016) Smart sustainable cities. Reconnaissance Study 330
Frey H (1999) Designing the city: towards a more sustainable urban form. E & FN Spon, London
Graedel T (2011) Industrial ecology and the ecocity. National Academy of engineering
Han J, Meng X, Zhou X, Yi B, Liu M, Xiang W-N (2016) A long–term analysis of urbanization process, landscape change, and carbon sources and sinks: a case study in China’s Yangtze River Delta region. J Clean Prod 141:1040–1050. https://doi.org/10.1016/j.jclepro.2016.09.177
Harvey F (2011) Green vision: the search for the ideal eco-city. Financ Times, London
Hollands RG (2008) Will the real smart city please stand up? City Anal Urban Trends Cult Theory Policy Action 12(3):303–320
Holmberg J (1998) Backcasting: a natural step in operationalizing sustainable development. Greener Manage Int (GMI) 23:30–51
Holmberg J, Robèrt KH (2000) Backcasting from non-overlapping sustainability principles: a framework for strategic planning. Int J Sustain Dev World Ecol 7(4):291–308
Höjer M (2000) What is the point of IT? Backcasting urban transport and land-use futures. Doctoral dissertation, Department of Infrastructure and Planning. The Royal Institute of Technology, Stockholm
Jabareen YR (2006) Sustainable urban forms: their typologies, models, and concepts. J Plann Educ Res 26:38–52
Jenks M, Burton E, Williams K (1996a) A sustainable future through the compact city? Urban intensification in the United Kingdom. Environ Des 1(1):5–20
Jenks M, Burton E, Williams K (eds) (1996b) The compact city: a sustainable urban form? E&FN Spon Press, London
Joss S (2010) Eco-cities—a global survey 2009. WIT Trans Ecol Environ 129:239–250
Joss S (2011) Eco-cities: the mainstreaming of urban sustainability; key characteristics and driving factors. Int J Sustain Dev Plan 6(3):268–285
Joss S, Cowley R, Tomozeiu D (2013) Towards the ubiquitous eco-city: an analysis of the internationalisation of eco-city policy and practice. J Urban Res Pract 76:16–22
Kitchin R (2014) The real–time city? Big data and smart urbanism. Geo J 79:1–14
Kitchin R (2015) Data–Driven. Networked Urbanism. https://doi.org/10.2139/ssrn.2641802
Kitchin R (2016) The ethics of smart cities and urban science. Phil Trans R Soc A 374:20160115
Kramers A, Höjer M, Lövehagen N, Wangel J (2014) Smart sustainable cities: exploring ICT solutions for reduced energy use in cities. Environ Model Softw 56:52–62
Kramers A, Wangel J, Höjer M (2016) Governing the smart sustainable city: the case of the Stockholm Royal Seaport. In: Proceedings of ICT for sustainability 2016, vol 46. Atlantis Press, Amsterdam, pp 99–108
Kourtit K, Nijkamp P, Arribas-Bel D (2012) Smart cities perspective—a comparative European study by means of self-organizing maps. Innovation 25(2):229–246
Miola A (2008) Backcasting approach for sustainable mobility. European Commission, Joint Research Centre, Institute for Environment and Sustainability
Neirotti P, De Marco A, Cagliano AC, Mangano G, Scorrano F (2014) Current trends in smart city initiatives—some stylized facts. Cities 38:25–36
Neuman M (2005) The compact city fallacy. J Plan Educ Res 25:11–26
Newman P (2000) Urban form and environmental performance. In: Williams K, Burton E, Jenks M (eds) Achieving sustainable urban. E & FN Spon, London, pp 46–53
Quist J, Rammelt C, Overschie M, de Werk G (2006) Backcasting for sustainability in engineering education: the case of Delft University of Technology. J Clean Prod 14:868–876
Quist J, Knot M, Young W, Green K, Vergragt P (2001) Strategies towards sustainable households using stakeholder workshops and scenarios. Int J Sustain Dev 4:75–89
Pantelis K, Aija L (2013) Understanding the value of (big) data. In: Big data 2013 IEEE international conference on IEEE, pp 38–42
Chapter Google Scholar
Phdungsilp A (2011) Futures studies’ backcasting method used for strategic sustainable city planning. Futures 43(7):707–714
Rapoport E, Vernay AL (2011) Defining the eco-city: a discursive approach. In: Paper presented at the management and innovation for a sustainable built environment conference, international eco-cities initiative. The Netherlands, Amsterdam, pp 1–15
Register R (2002) Eco-cities: building cities in balance with nature. Berkeley Hills Books, Berkeley, CA
Rivera MB, Eriksson E, Wangel J (2015) ICT practices in smart sustainable cities—in the intersection of technological solutions and practices of everyday life. In: 29th international conference on informatics for environmental protection (EnviroInfo 2015), third international conference on ICT for sustainability (ICT4S 2015). Atlantis press, The Netherlands, pp 317–324
Robinson J, Tinker J (1998) Reconciling ecological, economic and social imperatives. In: Schnurr J, Holtz S (eds) The cornerstone of development: integrating environmental, social, and economic policies. IDRC International Development Research Center and Lewis Publishers, Ottawa, pp 9–43
Roseland M (1997) Dimensions of the eco-city. Cities 14(4):197–202
Rotmans J et al (2000) Visions for a sustainable Europe. Futures 32(2000):809–831
Roth A, Kaberger T (2002) Making transport sustainable. J Clean Prod 10:361–371
Sev A (2009) How can the construction industry contribute to sustainable development? A conceptual framework. Sustain Dev 17:161–173
Shahrokni H, Årman L, Lazarevic D, Nilsson A, Brandt N (2015) Implementing smart urban metabolism in the Stockholm Royal Seaport: smart city SRS. J Ind Ecol 19(5):917–929
Suzuki, H, Dastur, A, Moffatt, S, Yabuki, N, Maruyama, H. (2010) Eco2 cities – ecological cities as economic cities. The World Bank
Talen E, Ellis C (2002) Beyond relativism: reclaiming the search for good city form. J Plann Edu Res 22:36–49
Townsend A (2013) Smart cities—big data, civic hackers and the quest for a new utopia. Norton & Company, New York
Tuominent P, Tapio T, Jarvi, Banister D (2014) Pluralistic backcasting: Integrating multiple visions with policy packages for transport climate policy. Futures 60:41–58
United Nations (2015) Big Data and the 2030 agenda for sustainable development. Prepared by A. Maaroof.
Van Bueren E, van Bohemen H, Itard L, Visscher H (2011) Sustainable urban environments: an ecosystem approach. International Publishing, Springer
Van U-P, Senior M (2000) The contribution of mixed land uses to sustainable travel in cities. In: Williams K, Burton E, Jenks M (eds) Achieving sustainable urban form. E & FN Spon, London, pp 139–148
Weaver P, Jansen L, van Grootveld G, van Spiegel E, Vergragt P (2000) Sustainable technology development. Greenleaf Publishers, Sheffield
Wheeler SM, Beatley T (eds) (2010) The sustainable urban development reader. Routledge, London, New York
Whitehead M (2003) (Re)Analysing the Sustainable City: Nature, Urbanism and the Regulation of Socio-Environmental Relations in the UK. Urban Studies 40(7):1183–1206
Williams K (2009) Sustainable cities: research and practice challenges. Int J Urban Sustain Dev 1(1):128–132
Williams K, Burton E, Jenks M (eds) (2000) Achieving sustainable urban form. E & FN Spon, London
Yigitcanlar T, Lee SH (2013) Korean ubiquitous-eco-city: a smart-sustainable urban form or a branding hoax? J. Tech For Soc Ch 89:100–114
Download references
Not Applicable.
Authors and affiliations.
Department of Computer Science, Norwegian University of Science and Technology (NTNU), Sem Saelands veie 9, NO-7491, Trondheim, Norway
Simon Elias Bibri & John Krogstie
Department of Architecture and Planning, Alfred Getz vei 3, Sentralbygg 1, 5th floor, NO-7491, Trondheim, Norway
Simon Elias Bibri
You can also search for this author in PubMed Google Scholar
Both authors read and approved the final manuscript.
Simon Elias Bibri is a Ph.D scholar in the area of data-driven smart sustainable cities of the future and Assistant Professor at the Norwegian University of Science and Technology (NTNU), Department of Computer Science and Department of Architecture and Planning, Trondheim, Norway. He holds the following degrees:
Bachelor of Science in computer engineering with a major in software development and computer networks
Master of Science—research focused—in computer science with a major in Ambient Intelligence
Master of Science in computer science with a major in informatics
Master of Science in computer and systems sciences with a major in decision support and risk analysis
Master of Science in entrepreneurship and innovation with a major in new venture creation
Master of Science in strategic leadership towards sustainability
Master of Science in sustainable urban development
Master of Science in environmental science with a major in ecotechnology and sustainable development
Master of Social Science with a major in business administration (MBA)
Master of Arts in communication and media for social change
Postgraduate degree (1 year of Master courses) in management and economics
PhD in computer science and urban planning with a major in data-driven smart sustainable cities
Bibri has earned all his Master’s degrees from different Swedish universities, namely Lund University, West University, Blekinge Institute of Technology, Malmö University, Stockholm University, and Mid–Sweden University.
His current research interests include smart sustainable cities, sustainable cities, smart cities, urban science, urban analytics, sustainability science, complexity science, data-intensive science, data-driven and scientific urbanism, as well as big data computing and its core enabling and driving technologies, namely sensor technologies, data processing platforms, big data applications, cloud and fog computing infrastructures, and wireless communication networks.
Bibri has authored four academic books whose titles are as follows:
The Human Face of Ambient Intelligence: Cognitive, Emotional, Affective, Behavioral and Conversational Aspects (525 pages), Springer, 07/2015.
The Shaping of Ambient Intelligence and the Internet of Things: Historico-epistemic, Socio-cultural, Politico-institutional and Eco-environmental Dimensions (301 pages), Springer, 11/2015.
Smart Sustainable Cities of the Future: The Untapped Potential of Big Data Analytics and Context-Aware Computing for Advancing Sustainability (660 pages), Springer, 03/2018.
Big Data Science and Analytics for Smart Sustainable Urbanism: Unprecedented Paradigmatic Shifts and Practical Advancements (505 pages), Springer, 06/2019.
Correspondence to Simon Elias Bibri .
Ethics approval and consent to participate.
Not Applicable
Competing interests.
The authors declare that they have no competing interests.
Publisher’s note.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/ ), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Reprints and permissions
Cite this article.
Bibri, S.E., Krogstie, J. Generating a vision for smart sustainable cities of the future: a scholarly backcasting approach. Eur J Futures Res 7 , 5 (2019). https://doi.org/10.1186/s40309-019-0157-0
Download citation
Received : 14 February 2019
Accepted : 18 July 2019
Published : 28 August 2019
DOI : https://doi.org/10.1186/s40309-019-0157-0
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative
Cities are increasingly vulnerable to climate change and disasters, yet many are becoming the models for resilience and sustainability.
Cities, increasingly vulnerable to climate change and disasters due to dense populations and socio-economic disparities, are crucial for sustainable development. With 70 million people moving to urban areas in the developing world annually, many cities struggle to provide adequate, sustainable infrastructure and inclusive access to services. However, through community engagement, nature-based solutions, innovative governance and digitalization, some cities are becoming models of resilience and sustainability.
Here are five cities around the world that serve as exemplary models:
Bonn, a city of over 300,000 inhabitants, is an international hub for sustainable urban development and climate action aiming for climate neutrality by 2035. To this end, a large number of activities are supported by funding programmes — such as construction or energy measures and green infrastructure — to mitigate natural hazards like floods and heatwaves .
Participation is key: a Climate Action Plan was developed with input from citizens, civil society and businesses. "Climate districts" are being established to involve residents and regular surveys track public knowledge and perception of climate action measures.
In Argentina’s capital, 10 per cent of the urban population resides in informal settlements, which amounts to over 300,000 people. Hence, upgrading processes are needed that are both participatory and climate-friendly to ensure sustainability. Transformative Urban Coalitions (TUC), supported by UNU-EHS, established an Urban Lab in a quarter called Barrio 20, capitalizing on pre-existing community structures in which local initiatives are planned and implemented. The lab uses these structures for initiatives such as greening a schoolyard and setting up a temperature and humidity monitoring system.
The urban lab quickly integrated into the neighbourhood’s upgrading process, fostering local commitment and ownership. Villa 20 shows how participatory local actions can create more liveable, greener and socially just communities.
Hue, a coastal city in Central Viet Nam, faces increasing flood risks. To strengthen its resilience, Hue initially focused on physical flood control infrastructure like dams, flood gates and drainage systems along with early warning systems through sirens and mobile apps. More recently, nature-based solutions, such as mangroves to reduce coastal flooding impacts, were applied and proved very beneficial.
UNU-EHS is part of the FloodAdaptVN project , which contributes to Hue’s resilience-building efforts, for instance by assessing key flood risks and people's needs of and attitudes towards flood risks adaptation solutions. Results are discussed with local stakeholders to jointly identify and evaluate additional resilience-building options, including more nature-based solutions and improved early warning systems.
Nearly 60 per cent of Nairobi’s 4.4 million inhabitants live in informal settlements, with Kibera being the largest in Kenya and one of the largest in Africa. Inhabitants are increasingly suffering from growing climate change impacts and natural hazards.
While NGOs and state actors provide support, it is insufficient to keep pace with growing populations and risks. Community-driven initiatives and local actions are crucial for sustaining livelihoods during and after disasters. Local data collection and assessments, including mapping disaster impacts such as losses and damages of housing, health and financial security, is essential. A UNU-EHS study highlighted local needs and capacities, linking them to international debates around operationalizing the “Loss and Damage Fund” to address unavoidable climate change effects.
Visakhapatnam, a rapidly growing city of 2.3 million on India’s cyclone-prone eastern coast, uses technology to address complex urbanization issues and improve the quality of life while enhancing participatory urban governance.
Pluvial flooding is a major challenge, worsened by the city’s hilly terrain. The ‘sachivalyam’ system, a volunteer-based initiative, is being expanded to train volunteers as first responders and community voices. Equipped with app-based monitoring and information collection systems, these volunteers provide regular updates to Visakhapatnam Smart City’s central command and control centre, enabling swift, proactive measures. The T-CAP project led by UNU-EHS supports this approach through an urban living lab where residents and volunteers collaborate on climate actions such as vulnerability and risk clustering, action prioritization and disaster risk management. This helps to prioritize interventions based on smart city data.
22 Aug 2024
14 Aug 2024
06 Sep 2024
23 Sep 2024, 08:30 - 23 Sep 2024, 17:30
Thomas elmqvist, stockholm. 27 march 2013.
6 Comments Join our conversation
Two of the most debated and challenging concepts in urban development are sustainability and resilience. How are they related? Do they mean approximately the same thing or are they distinctly different and can misunderstandings lead to undesired outcomes?
In this essay I will try to clarify the concepts, discuss two common misinterpretations and reflect on the many difficulties that remain in application in urban development.
Can a city be sustainable?
Most people would answer that this is not only possible but also given rapid urbanization, necessary for the planet to become sustainable. But my immediate answer is NO and here is the first common misconception we need to deal with. Cities are centers of production and consumption and urban inhabitants reliant on resources and ecosystem services, from food, water and construction materials to waste assimilation, secured from locations around the world. Although cities can optimize their resource use, increase their efficiency, and minimize waste, they can never become fully self-sufficient. Therefore, individual cities cannot be considered “sustainable” without acknowledging and accounting for their teleconnections — that is, their long-distance dependence and impact on resources and populations in other regions around the world.
Sustainability is commonly misunderstood as being equal to self-sufficiency, but in a globalized world virtually nothing at a local scale is self-sufficient. To become meaningful, urban sustainability therefore has to address appropriate scales, which always would be larger than an individual city.
The classical definition of sustainable development ( Brundtland Report on Sustainable Development ) focuses on how to manage resources in a way that guarantees welfare and promotes equity of current and future generations, in general addressing the global scale. However, in the urban context, research and application of sustainability have so far been constrained to either single or narrowly defined issues (e.g., population, climate, energy, water) or rarely moved beyond city boundaries.
Clearly what constitutes urban sustainability needs rethinking and reformulation, taking urban teleconnections into account. We will come back to this at the end of the essay.
Can we build resilience in a single city?
Similarly, most people would answer yes to this question and that a resilient city would be highly desirable and necessary. But again, my answer is NO , at least when it comes to general resilience , and here we deal with the second common misconception.
Firstly, a narrow focus on a single city is often counterproductive and may even be destructive since building resilience in one city often may erode it somewhere else with multiple negative effects across the globe (this relates to the distinction between general and specified resilience explained below).
Secondly, from historical accounts we learn that while there are some cities that have actually failed and disappeared (e.g. Mayan cities), our modern era experience is that cities rarely if ever collapse and disappear. Rather, they may enter a spiral of decline, becoming non-competitive and losing their position in regional, national and even global systems of cities. However, through extensive financial and trading networks, cities have a high capacity to avoid abrupt change and collapse and applying the resilience concept at the local city scale is thus not particularly useful.
What is resilience?
Resilience (see Resilience Alliance ) has a long history in engineering science but the most influential ecological interpretation was developed by Canadian ecologist C.S. “Buzz” Holling in 1973. Resilience builds on two radical premises. The first is that humans and nature are strongly coupled and co-evolving, and should therefore be conceived of as one “social-ecological” system.
The second is that the long-held assumption that systems respond to change in a linear, predictable fashion is simply wrong. Complex systems are, according to resilience thinking, rarely static and linear, instead they are often in constant flux, highly unpredictable and self-organizing, with feedbacks across time and space. A key feature of complex adaptive systems is that they can settle into a number of different stability domains. A lake, for example, will stabilize in either an oxygen-rich, clear state or algae-dominated, murky one. A financial market can float on a housing bubble or settle into a basin of recession.
Historically, we have tended to view the transition between such states as gradual. But there is increasing evidence that many systems do not respond to change that way: The clear lake seems hardly affected by fertilizer runoff until a critical threshold is passed, at which point the water abruptly goes turbid. Resilience science focuses on these sorts of tipping points. It looks at slow variables (i.e. gradual stresses), such as climate change, as well as fast variables (i.e. chance events), such as storms, fires, even stock market crashes that can tip a system into another equilibrium state from which it is difficult, if not impossible, to recover.
Over the past decade, resilience science has expanded much beyond ecologists to include thinking among economists, political scientists, mathematicians, social scientists, and archaeologists. For a general overview see this video .
Resilience is now used widely in discussing urban development, but it is much more challenging than when applied to a lake, agricultural or a forest system. When most people think of urban resilience it is generally in the context of response to sudden impacts, such as a hazard or disaster recovery — for example Hurricane Katrina in New Orleans and recently Sandy in New York City. How rapidly does the system recover and how much shock can it absorb before it transforms into something fundamentally different? This is often viewed as the essence of resilience thinking. However, the resilience concept goes far beyond recovery from single disturbances and it is here an important distinction is made between general resilience and specified resilience . General resilience refers to the resilience of a large-scale system to all kinds of shocks, including novel ones, specified resilience refers to the resilience “of what, to what” — that is, resilience of smaller scale-systems, a particular part of a system, related to a particular control variable, or to one or more identified kinds of shocks.
From an urban perspective, general resilience thus only makes sense on a much larger scale than individual cities (although specified resilience may be explored at a smaller scale). The concept of general resilience and scale lead us to another quite radical idea: change and transformation at the city level is necessary for maintaining resilience at the larger scale.
This may at first seem strongly counter-intuitive. Isn’t resilience about keeping systems as is and avoid change and transformations?
Transformation and resilience
To further explore this we need to put everything in a larger historical and global perspective, as shown below.
The relatively stable environment of the Holocene , the current interglacial period that began about 10,000 years ago, allowed agriculture and complex societies, including current urbanization to develop. This stable period is in contrast to the rather violent fluctuations in temperature in the preceding 90,000-year period. The stability induced humans, for the first time, to invest in agriculture and manage the environment rather than merely exploit it. Despite some natural environmental fluctuations over the past 10,000 years, complex feedback mechanisms involving the atmosphere, the terrestrial biosphere and the oceans have kept variation within the narrow range associated with the Holocene state. However, since the industrial revolution (the advent of the Anthropocene ), humans are believed to have effectively begun pushing the planet outside the Holocene range of variability for many key Earth System processes (for full reference see here ) including introduction of the concept of planetary boundaries). Urbanization represents one of the major processes contributing to this pushing pressure through, for example, green house gas emissions, massive land use change and increased resource consumption.
Maintaining resilience at the global scale — that is, avoiding that the planet passes a threshold and again enter into a new period of violent climate fluctuations — is therefore believed to require massive transformations at the level of cities. But what are these transformations, and what would trigger urban regions to employ them?
Coping vs. transformation
To explore this we will return to the basic principle in resilience thinking: a slow variable (like urbanization) may invisibly push the larger system closer and closer to a threshold (beyond which there would be radical change toward a new equilibrium) and that disturbances that previously could have been absorbed become the straws that break the camel’s back. However, urbanization does not just represent a slow variable. At the same time it is a process leading to higher intensity/frequency of disturbances through, for example, its impact on both global and regional climate change. Urbanization therefore represents a double-arrowed process and complex interaction between slow and fast variables. Conventional urban responses to disturbances such as coping and adaptive strategies may not only over time be insufficient at the city scale, they may also be counterproductive when it comes to maintaining resilience at the global scale.
A coping strategy is often used to describe the ability at the local scale and often at the level of individuals (such as having savings on a bank account), to deal effectively with a single disturbance, with the understanding that a crisis is rare and temporary and that the situation will quickly normalize when the disturbance recedes. Adapting to change is defined as an adjustment at somewhat larger scales in natural and human systems, in response to actual or expected disturbances when frequencies tend to increase (e.g. building higher and higher levees in response to increasing risks of flooding) (see the image below).
Transformation strategies are employed when coping and adaptation strategies are insufficient and outcomes are perceived to be highly undesirable, A transformation is thus defined as a response that differs from both coping and adaptation strategies in that the decisions made and actions taken change the identity of the system itself, create a fundamentally new system when ecological, economic, or social structures make the existing system untenable. It also and most importantly must address the causes of the increasing intensity/frequency of disturbance, which necessarily may not be the case with coping and adaptation. There are numerous examples of urban regions already engaged in developing both coping and adaptive strategies in response to, for example, sea level rise, demographic changes, and shortage of natural resources. However, when intensities and frequencies of disturbances increase, building larger dams or higher levees may no longer protect a city from flooding or sea level rise. Instead, a transformation to, say, a floating city, may be the only viable option.
However, even if we would agree that a myriad of transformations at the local/regional scale is important for maintaining resilience at the global scale, current coping and adaptive strategies needs our attention since they may be counter-productive, lead to lock-in and prevent a transformation to be initiated. For example, this would include exploring the local-global synergies or trade-offs of different re-designing schemes of the supply and consumptions chains, evaluating different modes of re-designing urban morphology and transport and different modes of stewardships of ecosystem services within and outside city boundaries.
Resilience and sustainability — what is the difference?
So where does this take us when it comes to understanding urban resilience and sustainability?
First of all, for both concepts the local city scale is too narrow. Urban sustainability must include teleconnections and urban dependence and impacts on distal populations and ecosystems. Similarly, when building resilience at the global scale (i.e. general resilience), urban regions must take increased responsibility for implementing transformative solutions and, through collaboration across a global system of cities, provide a transformative framework to manage resource chains.
However, how do we then distinguish between the two concepts? Isn’t there still a substantial overlap? My view is that we may accept that the concepts are quite similar when addressing the global scale, but we may give them a distinctly different meaning when addressing other scales. At regional and local scales resilience could more be seen as an approach (non-normative process) to meet the challenges of sustainable development (normative goal). Treating resilience as non-normative at these scales is preferable since knowledge about the components of resilience could be used to either build or erode resilience depending on whether a transformation is desirable or not in a specific context.
I have above outlined some of the challenges with the two concepts, but there are many more. We will need a lively debate exploring even further the meaning of the concepts in an urban context and how cities may contribute to global sustainability and resilience through transformative actions redefining their role and become more of sources of ecosystem services rather than sinks and increasingly provide better stewardship of marine, terrestrial and freshwater ecosystems both inside and outside city boundaries.
It would be important to feed such a lively debate into the current efforts to develop a framework for the Sustainable Development Goals (for example, see here ):
I invite all readers to give their view!
Thomas Elmqvist Stockholm
Thomas Elmqvist is a professor in Natural Resource Management at Stockholm University and Theme Leader at the Stockholm Resilience Center . His research is on ecosystem services, land use change, natural disturbances and components of resilience including the role of social institutions.
How to city resilient and sustainable in same time
The need for new disaster resistant cities are the need of the day as we seen the disasters happening through out the world and mostly we respond late to that so. If cities becomes resilient then we can survive future disasters to certain level
Nice essay. I like the transformation vs. coping notions as well as multiscalar considerations, I wonder where vulnerability as the opposite end of resilience fits into your conceptual model? In the US, Dr. Cutters work has looked at vulnerability from multiple systems perspectives, although I think the answers for transformation and adaptation necessarily are multiscalar – micro (individual/hh/firm/neighborhood/district) – meso (city infrastructure systems/food systems/ecological services at landscape scale), and macro scale (watersheds/airsheds/megaregions/substate systems/intermetro connections) to be truly descriptive of considerations. You need these levels in mind – because the notions of vertical and horizontal integration are a large part of sustainable cities and regions (and arguably aspects of resilience), but realizing that all urban resilience is inherently local as so much is determined by location choices, land use decisions (intensity/density) and compatibility with environmental, social and economic system considerations. I have a proposal in to US HUD to develop scenario modeling capabilities to learn about the tradeoffs at differing scales and interactions between the different dimensions of resilience, will know in next week or so if we fund. One possible thread you might explore in your work is adaptation of the logic structure of wetlands assessment in the US using the hydrogeomorphic approach (premise is ecological services but can be expanded using logic models)–this can be modified I believe- to create socially constructed resilience rating system that allows local stakeholders and experts to collaboratively define and understand key linkages and +/- feedback loops across resilience dimensions–thats where I am focused at present….cheers!
Hmmm…a system-of-systems approach with a scalar geographic dimension and disturbance/chaos component.
Great article as the other commenters have already noted. I wonder how many city managers, urban planners, disaster management officials, or social analysts take the time to identify and understand the relationships and friction points in their obviously complex systems?
I’m almost ready to start rescoping my observations of urban areas in either an “ecosystem” context or change the paradigm completely and look at them as a type of “organism” in a biological context, especially on how external influences create changes in the the ecosystem (or organism) and induce either short- or long-term change(s).
Really interesting article! I’ve been thinking about this myself but come to a somewhat different conclusion in my work with energy and resource efficiency. I think resilience needs to come from the neighborhood scale, so I found myself heading in the opposite direction from you. Our socio-cultural structure is largely a neighborhood structure, we can create self-reliant and resilient energy infrastructure most easily at neighborhood scale, food systems can be most easily built and nurtured at neighborhood scale, and so on…. Neighborhoods then form the cellular structure of a larger town or city, which then may be part of a larger regional cluster of cities. When neighborhoods are unsustainable, the city is unsustainable. I find super-dense neighborhoods (high rise downtowns) unsustainable and am leaning toward promoting a density limit (or perhaps a sweet spot) to achieve resilience. Some aspects of resilience must fall to the city at large, such as transportation infrastructure, but I feel most aspects of resilience are, and must be, achievable at the neighborhood scale.
A very interesting article, thank you! I’ve always though that resilience is a path for sustainability; we need to be resilient in order to be sustainable in a long term. My current research is on how we build resilient cities in earthquake prone environments. I’ve found – in the context of Chilean cities – that urban policies are a big problem in that concern. They are usually too tight and late; for example, land use is too specific and does not give room for aditional uses that open areas of cities have in times of crises. Beside, city master plans take too long to develop and when they are approved, the urban system is already under change. In this sense, I’ve found that social systmes and people’s behaviour in times of crises can provide a better contribution to urban resilience, mostly in environments where natural systmes are well conserved within or nearby cities.
Your email address will not be published. Required fields are marked *
Save my name, email, and website in this browser for the next time I comment.
Once upon a time the city was called the “marvelous” one: Rio de Janeiro, cidade maravilhosa. Rio was the birthplace of samba, chorinho and bossa nova; internationally famous for supposedly being a city of fun and carnival 365 days a year, it has been the capital city of Brazilian proverbial...
When I think about the just city, it’s always black and white I was born in Chicago the evening before President Lyndon Johnson signed the Civil Rights Act of 1964 into law. Growing up on the south side of Chicago meant that on an average day, I rarely saw or...
I have lived in an array of fascinating cities, and visited a host of others. I have loved many (New York, Hong Kong, Harare and Berlin); been miserable in a few (London and Pretoria); oddly disappointed by some (San Francisco, Dublin and Sydney) overwhelmed by others (Shanghai and Cairo); and...
“[A city where] everything comes together . . . subjectivity and objectivity, the abstract and the concrete, the real and the imagined, the knowable and the unimaginable, the repetitive and the differential, structure and agency, mind and body, consciousness and the unconscious, the disciplined and the trans-disciplinary, everyday life and...
Science & tools.
Nearly 70% of the world population lives in urban areas and nearly 75% of economic activity is located therein. Urban areas concentrate not only wealth but also extreme poverty and environmental degradation. Despite the significant progress in urbanization, still a...
Earth’s ecosystems have evolved for millions of years, resulting in diverse and complex biological communities living in balance with their environment (WWF Living Planet Report, 2016). Since the 16th century, human activity has impacted nature in practically every part of the world, wild plants and animals are at risk of extinction, deforestation and land degradation are causing water scarcity and...
A satirical video circulated this past summer announcing Mexico City as the country’s newest and most exciting water park, featuring waterfalls in the metro and an airport runway turned waterway.[1] I thought they might have included the geyser spouting out...
0 There’s an old saying about defecating and eating and not doing both in the same place. It is usually applied to interpersonal relations but serves just as well for industrial ones. And it is particularly relevant to mining. Certainly we...
Discover the world's research
You are accessing a machine-readable page. In order to be human-readable, please install an RSS reader.
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess .
Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications.
Feature papers are submitted upon individual invitation or recommendation by the scientific editors and must receive positive feedback from the reviewers.
Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.
Original Submission Date Received: .
Find support for a specific problem in the support section of our website.
Please let us know what you think of our products and services.
Visit our dedicated information section to learn more about MDPI.
Culture as a resilient and sustainable strategy in small cities.
2. materials and methods, 3. case studies, 3.1. allariz, 3.2. almagro, 3.3. astorga, 3.4. puigcerdá, 3.5. trujillo, 4. discussion, author contributions, institutional review board statement, informed consent statement, data availability statement, conflicts of interest.
Click here to enlarge figure
Evolution of Population | 2000 | 2010 | 2023 |
---|---|---|---|
Population | 5.158 | 5.910 | 6.378 |
2021 (year) | 194.97 | 103.45 | 61.53 |
(municipal level) | |||
Debt (EURk per year) | 5.850 | 4.206 | 3.620 |
Debt (EURk per capita) | 966 | 698 | 573 |
Gross rent (EUR) | 19.994 | 21.654 | 24.257 |
Disposable income (EUR) | 16.915 | 18.239 | 19.646 |
Unemployment rate (%) | 19.07 | 12.00 | 11.09 |
Evolution of Population | 2000 | 2010 | 2023 |
---|---|---|---|
Population | 8.262 | 8.855 | 8.958 |
2021 (year) | 126.48 | 85.52 | 48.83 |
(municipal level) | |||
Debt (EURk per year) | 5.045 | 4.281 | 2.820 |
Debt (EURk per capita) | 554 | 477 | 317 |
Gross rent (EUR) | 19.212 | 20.851 | 25.121 |
Disposable income (EUR) | 16.379 | 17.680 | 18.842 |
Unemployment rate (%) | 29.64 | 22.09 | 17.7 |
Evolution of Population | 2000 | 2010 | 2023 |
---|---|---|---|
Population | 12.377 | 12.015 | 10.321 |
2021 (year) | 215.27 | 71.60 | 64.78 |
(municipal level) | |||
Debt (EURk per year) | 1.817 | 2.775 | 3.710 |
Debt (EURk per capita) | 151 | 213 | 352 |
Gross rent (EUR) | 20.289 | 21.219 | 23.527 |
Disposable income (EUR) | 17.231 | 18.103 | 19.732 |
Unemployment rate (%) | 25.60 | 18.78 | 16.60 |
Evolution of Population | 2000 | 2010 | 2023 |
---|---|---|---|
Population | 6.902 | 8.746 | 9.764 |
2021 (year) | 108.87 | 87.25 | 43.32 |
(municipal level) | |||
Debt (EURk per year) | 5.881 | 5.105 | 5.445 |
Debt (EURk per capita) | 660 | 578 | 766 |
Gross rent (EUR) | 23.504 | 25.665 | 29.200 |
Disposable income (EUR) | 19.603 | 21.273 | 21.882 |
Unemployment rate (%) | 12.94 | 7.68 | 5.82 |
Evolution of Population | 2000 | 2010 | 2023 |
---|---|---|---|
Population | 8.173 | 9.692 | 8.713 |
2021 (year) | 201.50 | 73.91 | 51.44 |
(municipal level) | |||
Debt (EURk per year) | 2.984 | 1.812 | 474 |
Debt (EURk per capita) | 328 | 195 | 54 |
Gross rent (EUR) | 18.021 | 19.120 | 21.501 |
Disposable income (EUR) | 15.490 | 16.461 | 17.383 |
Unemployment rate (%) | 29.84 | 21.63 | 18.04 |
The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
Somoza Medina, X.; Relea Fernández, C.E. Culture as a Resilient and Sustainable Strategy in Small Cities. Sustainability 2024 , 16 , 7582. https://doi.org/10.3390/su16177582
Somoza Medina X, Relea Fernández CE. Culture as a Resilient and Sustainable Strategy in Small Cities. Sustainability . 2024; 16(17):7582. https://doi.org/10.3390/su16177582
Somoza Medina, Xosé, and Carlos Emilio Relea Fernández. 2024. "Culture as a Resilient and Sustainable Strategy in Small Cities" Sustainability 16, no. 17: 7582. https://doi.org/10.3390/su16177582
Article access statistics, further information, mdpi initiatives, follow mdpi.
Subscribe to receive issue release notifications and newsletters from MDPI journals
Make Your Note
This editorial is based on “ Making transit-oriented urban development work” which was published in Hindustan Times on 03/09/2024. This article highlights that the Transit-oriented development (TOD) is frequently discussed in Union budgets but struggles with implementation. Despite its promise of improving accessibility and reducing carbon emissions by concentrating urban development around transit hubs, TOD faces several challenges.
For Prelims: Urbanization , United Nations, 2011 Census, United Nations, Global Liveability Index , Slums And Unauthorized Colonies , Flood Management, Urban Planning, World Air Quality Report 2023 , Managing Solid Waste , Budget 2024-25 , AMRUT, Housing For All, Regional Rapid Transit System (RRTS) , Municipal Bonds.
For Mains : Significance of Planned Urbanisation for Sustainable Development.
Urbanization is a dynamic and complex process involving the transition of populations from rural to urban areas , profoundly transforming land use, economic activities, and social structures.
This phenomenon, recognized by the United Nations as one of the key demographic trends alongside population growth, aging, and migration, entails more than just a shift in numbers. It includes the expansion of city boundaries, economic diversification, cultural changes, and the evolution of governance systems.
The 2011 Census recorded India's urbanization rate at 31.2% , an increase from 27.8% in 2001. By 2030, it is projected that approximately 590 million people will reside in urban areas. With rapid urbanization underway, it is crucial to analyze the growth trends and their impact on the population.
Urbanization manifests in various forms, including planned settlements designed by government agencies to foster sustainable development and unplanned settlements that emerge spontaneously, often resulting in informal and sometimes precarious living conditions. In India, urbanization is accelerating, with significant impacts on city infrastructure, economic output, and social dynamics.
Despite the promise of urban growth projected to drive a substantial portion of GDP and job creation by 2030, challenges such as inadequate infrastructure, transit issues, safety problems, environmental degradation, and socio-economic inequalities persist . Understanding urbanization’s multifaceted nature and addressing these challenges is crucial for fostering resilient and sustainable urban environments.
Urbanization represents a critical juncture in global and national development, offering both opportunities and challenges. As cities grow and evolve, embracing comprehensive planning and reform is essential to ensure that urbanization contributes positively to economic prosperity and quality of life.
In India, initiatives like the Smart Cities Mission and AMRUT aim to address infrastructure deficits and enhance urban livability. However, effective implementation of transit-oriented development, better coordination among agencies, and modernization of planning practices are necessary to overcome obstacles. By focusing on sustainable growth, enhancing infrastructure, and improving governance, cities can harness the benefits of urbanization while mitigating its challenges, paving the way for a more inclusive and resilient urban future.
Discuss the key challenges in achieving sustainable urban development in India. How can transit-oriented development address these challenges? |
Q. With reference to the role of UN-Habitat in the United Nations programme working towards a better urban future, which of the statements is/are correct? (2017)
1. UN-Habitat has been mandated by the United Nations General Assembly to promote socially and environmentally sustainable towns and cities to provide adequate shelter for all.
2. Its partners are either governments or local urban authorities only.
3. UN-Habitat contributes to the overall objective of the United Nations system to reduce poverty and to promote access to safe drinking water and basic sanitation.
Select the correct answer using the code given below:
(a) 1, 2 and 3
(b) 1 and 3 only
(c) 2 and 3 only
Q . The frequency of urban floods due to high intensity rainfall is increasing over the years. Discussing the reasons for urban floods, highlight the mechanisms for preparedness to reduce the risk during such events. (2016)
IMAGES
VIDEO
COMMENTS
500 Words Essay on Sustainable Cities And Communities Sustainable Cities: A Greener Future. Sustainable cities are designed to minimize their negative impact on the environment and ensure a high quality of life for their residents. They aim to balance economic development, social equity, and environmental protection.
Sustainable Development Goal (SDG) 11 is about making "cities and human settlements inclusive, safe, resilient, and sustainable." It is one of the 17 SDGs in the 2030 Agenda for . Sustainable Development.. In 2015, the United Nations (UN) adopted the 2030 Agenda for Sustainable Development, a plan to promote peace and sustainable growth worldwide.One of the goals within the plan is SDG 11 ...
Green spaces can help capture carbon emissions. Image: REUTERS/Regis Duvignau. 2. Vertical forests. Short on space, people in cities have often looked upwards for places to expand. In Milan, Italy, architects have done the same with tree cover - creating a "vertical forest" on two residential tower blocks.
GOAL 11: Sustainable cities and communities
Sustainable cities and human settlements
Cities represent the future of global living. The world's population reached 8 billion on 2022 over half living in urban areas. This figure is only expected to rise, with 70 per cent of people ...
By 2050, over 70 percent of the world's people are projected to live in cities. As the global community becomes increasingly urban, cities are looking for ways to design with sustainability in mind.
Results from this movement can be seen in the inclusion of a stand-alone goal on cities and urban development in the 2030 Agenda, Sustainable Development Goal 11, "make cities and human settlements inclusive, safe, resilient and sustainable". There is also recognition of the cross-cutting nature of urban issues, which have an impact on a number ...
As. Sustainable. Cities: A. Visual. Essay. A frequently referenced forerunner of the smart city is this proposal by the British architectural collective, Archigram, for a "Plug-In City," which supplanted fixed buildings with a moveable network of spaces and interchangeable "programs" for urban inhabitations.
This state-of-the-art review paper aims to provide an overview of the current research on three categories of liveable cities, Smart, Sustainable, and Green (SSG). It explores how the discussions about these three categories have been brought together in the literature and identifies an integrated approach to developing more liveable cities of the future. The paper begins by introducing the ...
Here are the top 10 sustainable cities in the world: 1. Oslo. 2. Stockholm. 3. Tokyo. 4. Copenhagen. 5. Berlin. 6. London. 7. Seattle. 8. Paris. 9. San Francisco. 10. Amsterdam. It is important to note that there are numerous factors and frameworks for measuring sustainability and applying it to cities, so the lists of sustainable cities can be ...
These cities, which would rank among the top 60 most populous countries of the world, must deal with sustainable urban development challenges on a different scale than cities of little more than 50,000 inhabitants. And differences do not only relate to cities' sizes, but also to factors such as their historical development and geographic ...
The World Bank's Global Platform for Sustainable Cities (GPSC) works with mayors in developing countries to transform cities into inclusive and resilient hubs of growth, as part of the Global Environment Facility (GEF)'s Sustainable Cities program that is active in 27 cities and 11 countries, and will leverage $1.5 billion over five years.
This volume addresses SDG 11, namely "Make cities and human settlements inclusive, safe, resilient and sustainable" and contains the description of a range of terms, which allows a better understanding and fosters knowledge. This book presents a set of papers on the state of the art of knowledge and practices about the numerous challenges ...
First, Sustainable Communities are environmentally sustainable in terms of cleanliness and efficiency. Second, Sustainable communities are resilient to social, economic, and natural shocks. They are well prepared for natural disasters, which are increasing in intensity and frequency due to climate change. Third, Sustainable Communities are ...
recommendations across seven thematic areas: economic recovery and climate nance, energy, transport, agriculture and food, cities, sustainable inno vation, and climate education. These areas have ...
Sustainable cities have been the leading global paradigm of urbanism. Undoubtedly, sustainable development has, since its widespread diffusion in the early 1990s, positively influenced city planning and development. This pertains to the immense opportunities that have been explored and the enormous benefits that have been realized in relation to sustainable urban forms, especially compact ...
Goal 11: Sustainable cities and communities
Here are five cities around the world that serve as exemplary models: Bonn, Germany: Raising climate ambitions by understanding and tracking knowledge and perceptions. Bonn, a city of over 300,000 inhabitants, is an international hub for sustainable urban development and climate action aiming for climate neutrality by 2035.
In this essay I will try to clarify the concepts, discuss two common misinterpretations and reflect on the many difficulties that remain in application in urban development. ... You need these levels in mind - because the notions of vertical and horizontal integration are a large part of sustainable cities and regions (and arguably aspects of ...
SpringerInternational Publishing(2014, in press) Smart Sustainable Cities. Definition and Challenges. Mattias Höj er 1,2andJosefin Wangel1,2. 1 Centre for Sustainable Communications CESC, KTH ...
While sustainable cities have been around for more than four decades or so (Bibri 2020;Jabareen 2006;Rapoport 2014), it is not until the early 2000s that they became the most preferred response to ...
I have been invited to write in this first issue about the research and practice challenges facing those of us working towards sustainable cities. This is a call that requires both reflection on what has been achieved in the 30 years or so that 'sustainable cities' have been the leading global paradigm of urban development (Whitehead 2003 ...
This article studies the recent evolution of five cases of small cities in the interior of Spain that several decades ago invested in culture as a strategy to maintain their populations and increase the quality of life of their inhabitants. These are case studies of differentiated characteristics in which the analysis of their evolution offers important keys for developing cultural policies in ...
Examples of Successful TOD Implementation. Metro Rail Projects: India has been expanding metro rail networks in major cities to address urban congestion and provide efficient public transportation. Around 15 cities like Delhi, Mumbai, Kolkata, Bangalore, Hyderabad, Jaipur and Chennai etc have operational metro systems, with many more under construction or planned in other urban centers.