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Smart Mobility: The Main Drivers for Increasing the Intelligence of Urban Mobility

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  • Paulo Antonio Maldonado Silveira Alonso Munhoz

    (Pós-Graduação em Engenharia Civil, Universidade Federal Fluminense, Niterói RJ 24210-240, Brazil)

  • Fabricio da Costa Dias

    (Pós-Graduação em Engenharia Civil, Universidade Federal Fluminense, Niterói RJ 24210-240, Brazil)

  • Christine Kowal Chinelli

    (Pós-Graduação em Engenharia Civil, Universidade Federal Fluminense, Niterói RJ 24210-240, Brazil)

  • André Luis Azevedo Guedes

    (Pós-Graduação em Engenharia Civil, Universidade Federal Fluminense, Niterói RJ 24210-240, Brazil
    Departamento de Ciência da Computação, Centro Universitário Augusto Motta, Rio de Janeiro RJ 21041-010, Brazil)

  • João Alberto Neves dos Santos

    (Pós-Graduação em Engenharia Civil, Universidade Federal Fluminense, Niterói RJ 24210-240, Brazil)

  • Wainer da Silveira e Silva

    (Pós-Graduação em Engenharia Civil, Universidade Federal Fluminense, Niterói RJ 24210-240, Brazil)

  • Carlos Alberto Pereira Soares

    (Pós-Graduação em Engenharia Civil, Universidade Federal Fluminense, Niterói RJ 24210-240, Brazil)

Abstract

Urban mobility plays a key role in the ecosystems of complex smart cities. It is considered a key factor in enabling cities to become more intelligent, which highlights the importance of identifying the drivers that improve the intelligence of cities. In this study, we investigate the main drivers with the potential to increase urban mobility intelligence and assign them a priority. Following on from a systematic review of the literature, we conducted broad and detailed bibliographic research based on the recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). We also surveyed 181 professionals working in the field concerned to confirm the importance of different drivers and assign them a level of priority. The results show that 27 drivers identified in the literature were considered important, of which seven, related to city governance and technical solutions, were considered the most important to increase urban mobility intelligence.

Suggested Citation

  • Paulo Antonio Maldonado Silveira Alonso Munhoz & Fabricio da Costa Dias & Christine Kowal Chinelli & André Luis Azevedo Guedes & João Alberto Neves dos Santos & Wainer da Silveira e Silva & Carlos Alb, 2020. "Smart Mobility: The Main Drivers for Increasing the Intelligence of Urban Mobility," Sustainability, MDPI, vol. 12(24), pages 1-25, December.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:24:p:10675-:d:465677
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    2. Gaspare D’Amico & Roberta Arbolino & Lei Shi & Tan Yigitcanlar & Giuseppe Ioppolo, 2021. "Digital Technologies for Urban Metabolism Efficiency: Lessons from Urban Agenda Partnership on Circular Economy," Sustainability, MDPI, vol. 13(11), pages 1-23, May.
    3. Sabina Baraniewicz-Kotasińska, 2022. "The Scandinavian Third Way as a Proposal for Sustainable Smart City Development—A Case Study of Aarhus City," Sustainability, MDPI, vol. 14(6), pages 1-24, March.
    4. Peter DŽUPKA & Marek HORVATH, 2021. "Urban Smart-Mobility Projects Evaluation: A Literature Review," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 16(4), pages 55-76, November.
    5. Lovina Yogarajan & Mohammad Masukujjaman & Mohd Helmi Ali & Norlin Khalid & Lokhman Hakim Osman & Syed Shah Alam, 2023. "Exploring the Hype of Blockchain Adoption in Agri-Food Supply Chain: A Systematic Literature Review," Agriculture, MDPI, vol. 13(6), pages 1-24, May.
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