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What Factors Affect Commuters’ Utility of Choosing Mobility as a Service? An Empirical Evidence from Seoul

Author

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  • Sujae Kim

    (Department of Urban Planning, Hongik University, Seoul 04066, Korea)

  • Sangho Choo

    (Department of Urban Design & Planning, Hongik University, Seoul 04066, Korea)

  • Sungtaek Choi

    (Department of Metropolitan Transport, The Korea Transport Institute, Sejong 30147, Korea)

  • Hyangsook Lee

    (Graduate School of Logistics, Incheon National University, Incheon 22012, Korea)

Abstract

Mobility as a Service (MaaS), which integrates public and shared transportation into a single service, is drawing attention as a travel demand management strategy aimed at reducing automobile dependency and encouraging public transit. In particular, there have been few studies that recognize traffic congestion during peak hours and identify related factors for practical application. The purpose of this study is to explore what factors affect Seoul commuters’ mode choice including MaaS. A web-based survey that 161 commuters participated in was conducted to collect information about personal, household, and travel attributes, together with their mode preference for MaaS. A latent class model was developed to classify unobserved latent groups based on trip frequency by means and to identify factors influencing mode-specific utilities (in particular, MaaS service) for each class. The result shows that latent classes are divided into two groups (public transit-oriented commuters and balanced mode commuters). Most variables have significant impacts on choice for MaaS. The coefficient of MaaS choice of Class 1 and Class 2 were different. These findings suggest there is a difference between the classes according to trip frequency by means as an influencing factor in MaaS choice.

Suggested Citation

  • Sujae Kim & Sangho Choo & Sungtaek Choi & Hyangsook Lee, 2021. "What Factors Affect Commuters’ Utility of Choosing Mobility as a Service? An Empirical Evidence from Seoul," Sustainability, MDPI, vol. 13(16), pages 1-15, August.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:16:p:9324-:d:617657
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    References listed on IDEAS

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    Cited by:

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    2. Chenhao Zhu & Jonah Susskind & Mario Giampieri & Hazel Backus O’Neil & Alan M. Berger, 2023. "Optimizing Sustainable Suburban Expansion with Autonomous Mobility through a Parametric Design Framework," Land, MDPI, vol. 12(9), pages 1-31, September.
    3. Kriswardhana, Willy & Esztergár-Kiss, Domokos, 2023. "Exploring the aspects of MaaS adoption based on college students’ preferences," Transport Policy, Elsevier, vol. 136(C), pages 113-125.

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