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Leveraging Smart City Projects for Benefitting Citizens: The Role of ICTs

In: Smart City Networks

Author

Listed:
  • Renata Paola Dameri

    (University of Genova)

  • Francesca Ricciardi

    (University of Verona)

Abstract

The scientific literature converges in indicating better life conditions for citizens as the smart city’s main goal. To achieve this goal, cities leverage different technologies and especially ICT to modify urban infrastructures, public and private services and governance activities. However, smart programs often target the use and experimentation of innovative technologies, whilst citizens are considered as the passive addressees of technological programs. To verify whether smart projects really pursue citizens’ well-being, an extensive empirical survey has been conducted. The research investigates 366 European smart city projects and extracts 42 ICT-enabled projects explicitly focusing on citizens. The analysis sheds light on the complex goal of citizens’ well-being improvement in smart cities and on the most promising ICT solutions to impact urban life conditions. A special focus regards the use of IoT in smart projects addressing the citizens’ well-being.

Suggested Citation

  • Renata Paola Dameri & Francesca Ricciardi, 2017. "Leveraging Smart City Projects for Benefitting Citizens: The Role of ICTs," Springer Optimization and Its Applications, in: Stamatina Th. Rassia & Panos M. Pardalos (ed.), Smart City Networks, pages 111-128, Springer.
    • Handle: RePEc:spr:spochp:978-3-319-61313-0_7
    DOI: 10.1007/978-3-319-61313-0_7
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    Cited by:

    1. Shami, Mohammad Reza & Rad, Vahid Bigdeli & Moinifar, Maryam, 2022. "The structural model of indicators for evaluating the quality of urban smart living," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    2. Aldona Podgórniak-Krzykacz & Justyna Przywojska & Justyna Wiktorowicz, 2020. "Smart and Age-Friendly Communities in Poland. An Analysis of Institutional and Individual Conditions for a New Concept of Smart Development of Ageing Communities," Energies, MDPI, vol. 13(9), pages 1-23, May.
    3. Cezary Orłowski & Piotr Cofta & Aleksander Orlowski, 2022. "The Rule-Based Model of Negentropy for Increasing the Energy Efficiency of the City’s Digital Transformation Processes into a Smart City," Energies, MDPI, vol. 15(4), pages 1-19, February.
    4. Appio, Francesco Paolo & Lima, Marcos & Paroutis, Sotirios, 2019. "Understanding Smart Cities: Innovation ecosystems, technological advancements, and societal challenges," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 1-14.
    5. Dameri, Renata Paola & Benevolo, Clara & Veglianti, Eleonora & Li, Yaya, 2019. "Understanding smart cities as a glocal strategy: A comparison between Italy and China," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 26-41.
    6. Erik Karger & Marvin Jagals & Frederik Ahlemann, 2021. "Blockchain for Smart Mobility—Literature Review and Future Research Agenda," Sustainability, MDPI, vol. 13(23), pages 1-32, November.
    7. Sepasgozar, Samad M.E. & Hawken, Scott & Sargolzaei, Sharifeh & Foroozanfa, Mona, 2019. "Implementing citizen centric technology in developing smart cities: A model for predicting the acceptance of urban technologies," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 105-116.

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