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A Methodological Model to Evaluate Smart City Sustainability

Author

Listed:
  • Alejandro Valencia-Arias

    (Departamento de Ciencias Administrativas, Instituto Tecnológico Metropolitano, Medellín 050034, Colombia)

  • María Lucelly Urrego-Marín

    (Facultad de Ciencias Económicas y Administrativas, Corporación Universitaria Minuto de Dios, Bello 051051, Colombia)

  • Lemy Bran-Piedrahita

    (Facultad de Ciencias Económicas, Administrativas y Contables, Corporación Universitaria Americana, Medellín 050012, Colombia)

Abstract

This study aims to identify the key elements that should be included in a methodological model to evaluate the sustainability of smart cities and examines the case of Medellín, Colombia, from 2020 to 2021. For this purpose, it adopted a qualitative descriptive methodology divided into three stages: (1) reviewing existing methodologies for smart city evaluation; (2) designing, validating, and administering information collection instruments; and (3) systematizing and analyzing in-depth interviews. The results indicate that the said model should focus on six key variables: government, mobility, sustainability, people, economy, and quality of life. Smart cities should generate synergies, ensuring the interoperability of their services so that their inhabitants have a better quality of life. The added value of the model proposed here is that it incorporates social and political dynamics, which is noteworthy because most tools in this field do not prioritize them and focus on technical, environmental, transportation, planning, and technological factors.

Suggested Citation

  • Alejandro Valencia-Arias & María Lucelly Urrego-Marín & Lemy Bran-Piedrahita, 2021. "A Methodological Model to Evaluate Smart City Sustainability," Sustainability, MDPI, vol. 13(20), pages 1-17, October.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:20:p:11214-:d:653887
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    References listed on IDEAS

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    Cited by:

    1. Songling Chang & Melanie Kay Smith, 2023. "Residents’ Quality of Life in Smart Cities: A Systematic Literature Review," Land, MDPI, vol. 12(4), pages 1-17, April.
    2. Dezhi Li & Wentao Wang & Guanying Huang & Shenghua Zhou & Shiyao Zhu & Haibo Feng, 2023. "How to Enhance Citizens’ Sense of Gain in Smart Cities? A SWOT-AHP-TOWS Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(3), pages 787-820, February.
    3. Jonathan Bermúdez-Hernández & Sebastián Cardona-Acevedo & Alejandro Valencia-Arias & Lucía Palacios-Moya & Nelly Dioses Lescano, 2022. "Behavioural Factors for Users of Bicycles as a Transport Alternative: A Case Study," Sustainability, MDPI, vol. 14(24), pages 1-16, December.
    4. Romeo-Victor Ionescu & Monica Laura Zlati & Valentin-Marian Antohi, 2023. "Smart cities from low cost to expensive solutions under an optimal analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-34, December.
    5. Simona Bălășescu & Nicoleta Andreea Neacșu & Anca Madar & Alexandra Zamfirache & Marius Bălășescu, 2022. "Research of the Smart City Concept in Romanian Cities," Sustainability, MDPI, vol. 14(16), pages 1-24, August.

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