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The Leading Smart Sustainable Paradigm of Urbanism and Big Data Computing: A Topical Literature Review

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Big Data Science and Analytics for Smart Sustainable Urbanism

Part of the book series: Advances in Science, Technology & Innovation ((ASTI))

Abstract

The big data revolution is set to erupt in both smart cities and sustainable cities throughout the world. This is manifested in bits meeting bricks on a vast scale as instrumentation, datafication, and computation are routinely pervading urban environments. As a result, smart sustainable urbanism is becoming more and more data-driven. Explicitly, big data computing and the underpinning technologies are drastically changing the way both smart cities and sustainable cities are understood, operated, managed, planned, designed, developed, and governed in relation to sustainability in the face of urbanization. This implies that urban systems are becoming much more tightly integrated and urban domains much more highly coordinated while more holistic views and synoptic city intelligence can now be provided thanks to the possibility of drawing together and interlinking urban big data as well as reducing urban life to a form of logic and calculative procedures on the basis of powerful computational algorithms. These data-driven transformations are in turn being directed for improving, advancing, and maintaining the contribution of smart sustainable/sustainable smart cities to the goals of sustainable development. This chapter provides a comprehensive, state-of-the-art review of smart sustainable/sustainable smart cities as a leading paradigm of urbanism in terms of the underlying foundational components and assumptions, research status, issues and debates, research opportunities and challenges, future practices and horizons, and technological trends and developments. As to the findings, this chapter shows that smart sustainable urbanism involves numerous issues that are unsolved, largely ignored, or underexplored from an applied theoretical perspective. And, a large part of research in this area focuses on exploiting the potentials of big data technologies and their novel applications as an effective way to mitigate or overcome the issue of sustainable cities and smart cities being extremely fragmented as landscapes and weakly connected as approaches. The comprehensive overview of and critique on existing work on smart sustainable urbanism provides a valuable reference for researchers and practitioners in related research communities and the necessary material to inform these communities of the latest developments in the area of smart sustainable urban planning and development. The outcome of this topical review will help strategic city stakeholders to understand what they can do more to advance sustainability based on big data technology and its novel applications, and also give policymakers an opportunity to identify areas for further improvement while leveraging areas of strength with regard to the future form of sustainable smart urbanism in the era of big data.

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References

  • Ahvenniemi, H., Huovila, A., Pinto-Seppä, I., & Airaksinen, M. (2017). What are the differences between sustainable and smart cities? Cities, 60, 234–245.

    Article  Google Scholar 

  • Al Nuaimi, E., Al Neyadi, H., Nader, M., & Al-Jaroodi, J. (2015). Applications of big data to smart cities. Journal of Internet Services and Applications, 6(25), 1–15.

    Google Scholar 

  • Al-Nasrawi, S., Adams, C., & El-Zaart, A. (2015). A conceptual multidimensional model for assessing smart sustainable cities. Journal of Information Systems and Technology Management, 12(3), 541–558.

    Google Scholar 

  • 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 

  • Batty, M. (2013). Big data, smart cities and city planning. Dialogues in Human Geography, 3(3), 274–279.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Bettencourt, L. M. A. (2014). The uses of big data in cities. Santa Fe, New Mexico: Santa Fe Institute.

    Book  Google Scholar 

  • 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.

    Book  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Bibri, S. E. (2018c). 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 

  • Bibri, S. E. (2018d). A foundational framework for smart sustainable city development: Theoretical, disciplinary, and discursive dimensions and their synergies. Sustainable Cities and Society, 38, 758–794.

    Article  Google Scholar 

  • Bibri, S. E. (2019). 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 

  • Bibri, S. E., & Krogstie, J. (2016). On the social shaping dimensions of smart sustainable cities: A study in science, technology, and society. Sustainable Cities and Society, 29, 219–246.

    Article  Google Scholar 

  • Bibri, S. E., & Krogstie, J. (2017a). Smart sustainable cities of the future: An extensive interdisciplinary literature review. Sustainable Cities and Society, 31, 183–212.

    Article  Google Scholar 

  • 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 Society, 32, 449–474.

    Article  Google Scholar 

  • Bibri, S. E., & Krogstie, J. (2017c). The core enabling technologies of big data analytics and context-aware computing for smart sustainable cities: A review and synthesis. Journal of Big Data.

    Google Scholar 

  • Bifulco, F., Tregua, M., Amitrano, C. C., & D’Auria, A. (2016). ICT and sustainability in smart cities management. International Journal of Public Sector Management, 29(2), 132–147.

    Article  Google Scholar 

  • Bulkeley, H., & Betsill, M. (2005). Rethinking sustainable cities: Multilevel governance and the “urban” politics of climate change. Environmental Politics, 14(1), 42–63.

    Article  Google Scholar 

  • Carrasco-Sáez, J. L., Careaga Butter, M., & Badilla-Quintana, M. G. (2017). The new pyramid of needs for the digital citizen: A transition towards smart human cities. Sustainability, 9, 2258.

    Article  Google Scholar 

  • Debnath, A. K., Chin, H. C., Haque, M. M., & Yuen, B. (2014). A methodological framework for benchmarking smart transport cities. Cities, 37, 47–56. https://doi.org/10.1016/j.cities.2013.11.004.

    Article  Google Scholar 

  • European Commission. (2010). Communication from the Commission EUROPE 2020: A strategy for smart, sustainable and inclusive growth. Com(2010) 2020, Brussels (3 March), Commission of the European Communities. https://doi.org/10.1016/j.resconrec.2010.03.010.

    Article  Google Scholar 

  • Gebresselassie, M., Sanchez, T. M. (2018). Smart’ tools for socially sustainable transport. Journal of Urban Science, 2, 45.

    Article  Google Scholar 

  • Hashem, I. A. T., Chang, V., Anuar, N. B., Adewole, K., Yaqoob, I., Gani, A., et al. (2016). The role of big data in smart city. International Journal of Information Management, 36, 748–758.

    Article  Google Scholar 

  • Hofstad, H. (2012). Compact city development: High ideals and emerging practices. European Journal of Spatial Development, 1–23.

    Google Scholar 

  • Höjer, M., & Wangel, S. (2015). Smart sustainable cities: Definition and challenges. In L. Hilty & B. Aebischer (Eds.), ICT innovations for sustainability (pp. 333–349). Berlin: Springer.

    Chapter  Google Scholar 

  • Jabareen, Y. R. (2006). Sustainable urban forms: Their typologies, models, and concepts. Journal of Planning Education and Research, 26, 38–52.

    Article  Google Scholar 

  • Jenks, M., Burton, E., & Williams, K. (1996a). A sustainable future through the compact city? Urban intensification in the United Kingdom. Environment by Design, 1(1), 5–20.

    Google Scholar 

  • Jenks, M., Burton, E., & Williams, K. (Eds.). (1996b). The compact city: A sustainable urban form?. London: E&FN Spon Press.

    Google Scholar 

  • Joss, S. (2011). Eco-cities: The mainstreaming of urban sustainability; key characteristics and driving factors. International Journal of Sustainable Development and Planning, 6(3), 268–285.

    Article  Google Scholar 

  • Kärrholm, M. (2011). The scaling of sustainable urban form: Some scale—Related problems in the context of a Swedish urban landscape. European Planning Studies, 19(1), 97–112.

    Article  Google Scholar 

  • Khan, Z., Anjum, A., Soomro, K., Tahir, M. A. (2015). Towards cloud based big data analytics for smart future cities. Journal of Cloud Computing Advanced System Applications, 4, 2.

    Google Scholar 

  • Khanac, Z., Pervaiz, Z., & Abbasi, A. G. (2017). Towards a secure service provisioning framework in a smart city environment. Future Generation Computer Systems, 77, 112–135.

    Article  Google Scholar 

  • Kitchin, R. (2014). The real-time city? Big data and smart urbanism. GeoJournal, 79, 1–14.

    Article  Google Scholar 

  • Kitchin, R. (2016). The ethics of smart cities and urban science. Philosophical Transactions of the Royal Society A, 374, 20160115.

    Article  Google Scholar 

  • Kramers, A., Höjer, M., Lövehagen, N., & Wangel, J. (2014). Smart sustainable cities: Exploring ICT solutions for reduced energy use in cities. Environmental Modelling and Software, 56, 52–62.

    Article  Google Scholar 

  • 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, pp. 99–108). Amsterdam: Atlantis Press.

    Google Scholar 

  • Kumar, A., & Prakash, A. (2014). The role of big data and analytics in smart cities. International Journal of Scientific Research (IJSR), 6(14), 12–23.

    Google Scholar 

  • Lee, S. (2009). Introduction to ubiquitous city. In S. Lee (Ed.), Ubiquitous city: Future of city, city of future. Daejeon, Korea: Hanbat National University Press.

    Google Scholar 

  • Lytras, M. D., Mathkour, H. I., Abdalla, H., Al-Halabi, W., Yanez-Marquez, C., & Siqueira, S. W. M. (2015). Enabling technologies and business infrastructures for next generation social media: Big data, cloud computing, internet of things and virtual reality. Journal of Universal Computer Science, 21, 1379–1384.

    Google Scholar 

  • Lytras, M. D., Mathkour, H. I., Abdalla, H., Al-Halabi, W., Yanez-Marquez, C., & Siqueira, S. W. M. (2015). An emerging—Social and emerging computing enabled philosophical paradigm for collaborative learning systems: Toward high effective next generation learning systems for the knowledge society. Computers in Human Behavior, 5, 557–561.

    Google Scholar 

  • Lytras, M. D., Raghavan, V., & Damiani, E. (2017). Big data and data analytics research: From metaphors to value space for collective wisdom in human decision making and smart machines. International Journal on Semantic Web and Information Systems, 13, 1–10.

    Article  Google Scholar 

  • Marsal-Llacuna, M.-L. (2016). City indicators on social sustainability as standardization technologies for smarter (citizen-centered) governance of cities. Social Indicators Research, 128(3), 1193–1216. https://doi.org/10.1007/s11205-015-1075-6.

    Article  Google Scholar 

  • Meadows, D., & Wright, D. (2012). Thinking in systems: A primer. Taylor and Francis.

    Google Scholar 

  • Neirotti, P., De Marco, A., Cagliano, A. C., Mangano, G., & Scorrano, F. (2014). Current trends in smart city initiatives—Some stylized facts. Cities, 38, 25–36.

    Article  Google Scholar 

  • Neuman, M. (2005). The compact city fallacy. Journal of Planning Education and Research, 25, 11–26.

    Article  Google Scholar 

  • Rapoport, E., & Vernay, A. L. (2011). Defining the eco-city: A discursive approach. Paper presented at the management and innovation for a sustainable built environment conference, international eco-cities initiative (pp. 1–15). Amsterdam: The Netherlands.

    Google Scholar 

  • Rathore, M. M., Won-HwaHong, A. P., Seo, H. C., Awan, I., & Saeed, S. (2018). Exploiting IoT and big data analytics: Defining smart digital city using real-time urban data. Journal of SSC, 40, 600–610.

    Google Scholar 

  • Rivera, M. B., 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) (pp. 317–324). Atlantis Press.

    Google Scholar 

  • Shahrokni, H., Årman, L., Lazarevic, D., Nilsson, A., & Brandt, N. (2015). Implementing smart urban metabolism in the Stockholm Royal Seaport: Smart city SRS. Journal of Industrial Ecology, 19(5), 917–929.

    Article  Google Scholar 

  • UNECE. (2015a). Key performance indicators for smart sustainable cities to assess the achievement of sustainable development goals (Vol. 1603). https://doi.org/ITU-TL.1603.

    Google Scholar 

  • UNECE. (October 2015b). The UNECE–ITU smart sustainable cities indicators.

    Google Scholar 

  • Van Bueren, E., van Bohemen, H., Itard, L., & Visscher, H. (2011). Sustainable urban environments: An ecosystem approach. Springer International Publishing.

    Google Scholar 

  • Williams, K. (2009). Sustainable cities: Research and practice challenges. International Journal of Urban Sustainable Development, 1(1), 128–132.

    Google Scholar 

  • Yigitcanlar, T., & Lee, S. H. (2013). Korean ubiquitous-eco-city: A smart-sustainable urban form or a branding hoax? Journal of Technological Forecasting and Social Change, 89, 100–114.

    Article  Google Scholar 

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Bibri, S.E. (2019). The Leading Smart Sustainable Paradigm of Urbanism and Big Data Computing: A Topical Literature Review. In: Big Data Science and Analytics for Smart Sustainable Urbanism. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-17312-8_2

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