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Measuring Smart City Performance: a Multiple Criteria Decision Analysis Approach

Author

Listed:
  • Pantelis Sotirelis

    (Technical University of Crete)

  • Panagiotis Nakopoulos

    (Technical University of Crete)

  • Theodora Valvi

    (University of Athens)

  • Evangelos Grigoroudis

    (Technical University of Crete)

  • Elias Carayannis

    (George Washington University)

Abstract

The concept of “smart city” is acknowledged by researchers and practitioners as a promising solution to address the challenges of urbanization and promote urban sustainability. Therefore, the assessment of smart cities has become a significant area of research. The current paper defines an evaluation framework by adopting 52 indicators classified under six smart pillars. Specifically, the PROMETHEE II method is used to rank 17 cities worldwide, with Singapore and Copenhagen achieving the highest performances. The sensitivity analysis for the two main parameters of the PROMETHEE II method validates the robustness of the results. In addition, the presented results (PROMETHEE II rankings) are compared to other well-known smart city evaluation frameworks in order to assess their validity.

Suggested Citation

  • Pantelis Sotirelis & Panagiotis Nakopoulos & Theodora Valvi & Evangelos Grigoroudis & Elias Carayannis, 2022. "Measuring Smart City Performance: a Multiple Criteria Decision Analysis Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(4), pages 2957-2985, December.
  • Handle: RePEc:spr:jknowl:v:13:y:2022:i:4:d:10.1007_s13132-021-00847-1
    DOI: 10.1007/s13132-021-00847-1
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    References listed on IDEAS

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    1. Leonidas G. Anthopoulos, 2017. "Understanding Smart Cities: A Tool for Smart Government or an Industrial Trick?," Public Administration and Information Technology, Springer, number 978-3-319-57015-0, March.
    2. Chun Sing Lai & Youwei Jia & Zhekang Dong & Dongxiao Wang & Yingshan Tao & Qi Hong Lai & Richard T. K. Wong & Ahmed F. Zobaa & Ruiheng Wu & Loi Lei Lai, 2020. "A Review of Technical Standards for Smart Cities," Clean Technol., MDPI, vol. 2(3), pages 1-21, August.
    3. Leonidas G. Anthopoulos, 2017. "The Rise of the Smart City," Public Administration and Information Technology, in: Understanding Smart Cities: A Tool for Smart Government or an Industrial Trick?, chapter 0, pages 5-45, Springer.
    4. Bertrand Mareschal & Jean Pierre Brans & Philippe Vincke, 1986. "How to select and how to rank projects: the Prométhée method," ULB Institutional Repository 2013/9307, ULB -- Universite Libre de Bruxelles.
    5. Vito Albino & Umberto Berardi & Rosa Maria Dangelico, 2015. "Smart Cities: Definitions, Dimensions, Performance, and Initiatives," Journal of Urban Technology, Taylor & Francis Journals, vol. 22(1), pages 3-21, January.
    6. Brans, J. P. & Vincke, Ph. & Mareschal, B., 1986. "How to select and how to rank projects: The method," European Journal of Operational Research, Elsevier, vol. 24(2), pages 228-238, February.
    7. Jean-Pierre Brans & Bertrand Mareschal, 2005. "Promethee Methods," International Series in Operations Research & Management Science, in: Multiple Criteria Decision Analysis: State of the Art Surveys, chapter 0, pages 163-186, Springer.
    8. Mimica R. Milošević & Dušan M. Milošević & Dragan M. Stević & Ana D. Stanojević, 2019. "Smart City: Modeling Key Indicators in Serbia Using IT2FS," Sustainability, MDPI, vol. 11(13), pages 1-28, June.
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