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Defining Smart Mobility Service Levels via Text Mining

Author

Listed:
  • Jaehyun (Jason) So

    (Department of Transportation Systems Engineering, Ajou University, Suwon 16499, Korea)

  • Hyunju An

    (Division for Smart City and Transport, The Korea Transport Institute, Sejong 30147, Korea)

  • Changju Lee

    (Civil and Environmental Engineering, University of Virginia, Charlottesville, VA 22904, USA
    Current affiliation: Transport Division, United Nations Economic and Social Commission for Asia and the Pacific, 10200, Bangkok, Thailand.)

Abstract

The concept of smart mobility depends on a country’s or city’s visions and surroundings, such as traffic issues and available transportation modes. This study, therefore, proposes a clear and consistent set of definitions for smart mobility, in the context of past, present, and future, based on investigations of smart mobility practices in South Korea and overseas. In addition, smart mobility definitions are collected from various written sources and analyzed via text mining to define levels of smart mobility beyond the present service level. This study therefore defines smart mobility in six stages: level 0, base infrastructure; level 1, individual digitization; level 2, partial integration; level 3, full integration; level 4, personalized integration; and level 5, mobility transformation. The definition of each stage includes the scope of transportation modes to be integrated, required technology level, mobility operations, and user convenience. This definition of smart mobility by stage will be beneficial for setting the targeted levels of smart mobility services in projects and for setting goals not only in the present context but also for the future of smart mobility, which will be utilized as a roadmap for the implementation of smart mobility in many countries and cities.

Suggested Citation

  • Jaehyun (Jason) So & Hyunju An & Changju Lee, 2020. "Defining Smart Mobility Service Levels via Text Mining," Sustainability, MDPI, vol. 12(21), pages 1-14, November.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:21:p:9293-:d:442115
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    References listed on IDEAS

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    2. Clara Benevolo & Renata Paola Dameri & Beatrice D’Auria, 2016. "Smart Mobility in Smart City," Lecture Notes in Information Systems and Organization, in: Teresina Torre & Alessio Maria Braccini & Riccardo Spinelli (ed.), Empowering Organizations, edition 1, pages 13-28, Springer.
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    4. Pangbourne, Kate & Mladenović, Miloš N. & Stead, Dominic & Milakis, Dimitris, 2020. "Questioning mobility as a service: Unanticipated implications for society and governance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 35-49.
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    Cited by:

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    2. Lee, Changju & Bae, Bumjoon & Lee, Yu Lim & Pak, Tae-Young, 2023. "Societal acceptance of urban air mobility based on the technology adoption framework," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    3. Cayetano Medina-Molina & María de la Sierra Rey-Tienda & Eva María Suárez-Redondo, 2022. "The Transition of Cities towards Innovations in Mobility: Searching for a Global Perspective," IJERPH, MDPI, vol. 19(12), pages 1-17, June.
    4. Butler, Luke & Yigitcanlar, Tan & Paz, Alexander & Areed, Wala, 2022. "How can smart mobility bridge the first/last mile gap? Empirical evidence on public attitudes from Australia," Journal of Transport Geography, Elsevier, vol. 104(C).
    5. Markov, Iliya & Guglielmetti, Rafael & Laumanns, Marco & Fernández-Antolín, Anna & de Souza, Ravin, 2021. "Simulation-based design and analysis of on-demand mobility services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 170-205.
    6. Pamučar, Dragan & Durán-Romero, Gemma & Yazdani, Morteza & López, Ana M., 2023. "A decision analysis model for smart mobility system development under circular economy approach," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).

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