The Evolving Data-Driven Approach to Smart Sustainable Urbanism for Tackling the Conundrums of Sustainability and Urbanization

  • Simon Elias BibriEmail author
Part of the Advances in Science, Technology & Innovation book series (ASTI)


Opening the book as a scene-setting chapter, this chapter covers introduction and background as well as the aim, structure and content, and organization and design purposes of the book. The main topics, concepts and theories, research issues, knowledge gaps, opportunities, and prospects pointing to a need for elaboration or investigation in relevance to the focus and scope of the book are introduced in this chapter and then will be developed further or addressed and discussed in more details in the subsequent chapters as part of the systematic exploration of the field of smart sustainable/sustainable smart urbanism and the examination of the unprecedented paradigmatic shifts and practical advances it is undergoing in light of big data science and analytics and the underlying advanced technologies.


Smart sustainable/sustainable smart urbanism Smart sustainable/sustainable smart cities ICT Big data computing/analytics Sustainability Sustainable development Urbanization 


  1. Al Nuaimi, E., Al Neyadi, H., Nader, M., Al-Jaroodi, J. (2015). Applications of big data to smart cities. Journal of Internet Services and Application, 6(25), 1–15.Google Scholar
  2. Angelidou, M., Psaltoglou, A., Komninos, N., Kakderi, C., Tsarchopoulos, P., & Panori, A. (2017). Enhancing sustainable urban development through smart city applications. Journal of Science and Technology Policy Management, 1–25.Google Scholar
  3. Batty, M., Axhausen, K. W., Giannotti, F., Pozdnoukhov, A., Bazzani, A., Wachowicz, M., et al. (2012). Smart cities of the future. The European Physical Journal Special Topics, 214, 481–518.CrossRefGoogle Scholar
  4. Bettencourt, L. M. A. (2014). The uses of big data in cities. Santa Fe, New Mexico: Santa Fe Institute.Google Scholar
  5. Bibri, S. E. (2018a). Smart sustainable cities of the future: The untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer.CrossRefGoogle Scholar
  6. Bibri, S. E. (2018b). The IoT for smart sustainable cities of the future: An analytical framework for sensor-based big data applications for environmental sustainability. Sustainable Cities and Society, 38, 230–253.CrossRefGoogle Scholar
  7. Bibri, S. E. (2018c). A foundational framework for smart sustainable city development: Theoretical, disciplinary, and discursive dimensions and their synergies. Sustainable Cities and Society, 38, 758–794.CrossRefGoogle Scholar
  8. Bibri, S. E. (2019a). On the sustainability of smart cities of the future and related big data applications: An interdisciplinary and transdisciplinary review and synthesis. Journal of Big Data (in press).Google Scholar
  9. Bibri, S. E. (2019b). A novel model for smart sustainable city of the future: A scholarly backcasting approach to its analysis, investigation, and development. Journal of CITA (in press).Google Scholar
  10. Bibri, S. E., & Krogstie, J. (2017a). Smart sustainable cities of the future: An extensive interdisciplinary literature review. Sustainable Cities and Society, 31, 183–212.CrossRefGoogle Scholar
  11. Bibri, S. E., & 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. Sustainable Cities and Soceity, 32, 449–474.CrossRefGoogle Scholar
  12. Bulkeley, H., & Betsill, M. (2005). Rethinking sustainable cities: multilevel governance and the “urban” politics of climate change. Environmental Politics, 14(1), 42–63.CrossRefGoogle Scholar
  13. David, D. (2017). Environment and urbanization. The International Encyclopedia of Geography, 24(1), 31–46. Scholar
  14. Degbelo, A., Granell Granell, C., Trilles Oliver, S., Bhattacharya, D., Casteleyn, S., & Kray, C. (2016). Opening up smart cities: citizen-centric challenges and opportunities from GIscience. ISPRS International Journal of Geo-Information, 5(2), 16. Scholar
  15. Estevez, E., Lopes, N. V., & Janowski, T. (2016). Smart sustainable cities. Reconnaissance Study, 330.Google Scholar
  16. European Commission. (2011). Cities of tomorrow. Challenges, visions, ways forward. Brussels: Publications Office of the European Union.Google Scholar
  17. 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. Journal of Cleaner Production, 141, 1040–1050. Scholar
  18. Kitchin, R. (2014). The real-time city? Big data and smart urbanism. Geo Journal, 79, 1–14.Google Scholar
  19. Kitchin, R. (2015). Data-driven, networked urbanism.
  20. Kitchin, R. (2016). The ethics of smart cities and urban science. Philosophical Transactions of the Royal Society A, 374, 20160115.CrossRefGoogle Scholar
  21. Pantelis, K., & Aija, L. (2013). Understanding the value of (big) data. In Big Data 2013 IEEE International Conference on IEEE, pp. 38–42.Google Scholar
  22. Townsend, A. (2013). Smart Cities–Big data, civic hackers and the quest for a new Utopia. New York: Norton & Company.Google Scholar
  23. United Nations. (2015a). Transforming our world: The 2030 agenda for sustainable development. New York, NY. Available at:
  24. United Nations. (2015b). Habitat III issue papers, 21—Smart cities (V2.0), New York, NY. Available at: Accessed May 2, 2017.
  25. United Nations. (2015c). Big data and the 2030 agenda for sustainable development. Prepared by A. Maaroof. Available at:
  26. United Nations. (2015d). World urbanization prospects. The 2014 revision. New York: Department of Economic and Social Affairs. Accessed January 22, 2017.
  27. United Nations. (2016). Paris agreement. United Nations treaty collection, reference C.N. 63.2016. TREATIES–XXVII.7.d. Agreement adopted at the twenty-first session of the Conference of the Parties to the United Nations Framework Convention on Climate Change, in Paris from 30 November to 13 December 2015. Accessed January 22, 2017.

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Computer Science and Department of Urban Planning and DesignNorwegian University of Science and Technology (NTNU)TrondheimNorway

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