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The City-Wide Impacts of the Interactions between Shared Autonomous Vehicle-Based Mobility Services and the Public Transportation System

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  • Sehyun Tak

    (The Korea Transport Institute, 370 Sicheong-daero, Sejong City 30147, Korea)

  • Soomin Woo

    (Civil and Environmental Engineering, University of California, Berkeley, CA 94720, USA)

  • Sungjin Park

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

  • Sunghoon Kim

    (The Korea Transport Institute, 370 Sicheong-daero, Sejong City 30147, Korea)

Abstract

When attempts are made to incorporate shared autonomous vehicles ( SAV s) into urban mobility services, public transportation ( PT ) systems are affected by the changes in mode share. In light of that, a simulation-based method is presented herein for analyzing the manner in which mode choices of local travelers change between PT and SAV s. The data used in this study were the modal split ratios measured based on trip generation in the major cities of South Korea. Subsequently, using the simulated results, a city-wide impact analysis method is proposed that can reflect the differences between the two mode types with different travel behaviors. As the supply–demand ratio of SAV s increased in type 1 cities, which rely heavily on PT , use of SAV s gradually increased, whereas use of PT and private vehicles decreased. Private vehicle numbers significantly reduced only when SAV s and PT systems were complementary. In type 2 cities, which rely relatively less on PT , use of SAV s gradually increased, and use of private vehicles decreased; however, no significant impact on PT was observed. Private vehicle numbers were observed to reduce when SAV s were operated, and the reduction was a minimum of thrice that in type 1 cities when SAV s and PT systems interacted. Our results can therefore aid in the development of strategies for future SAV – PT operations.

Suggested Citation

  • Sehyun Tak & Soomin Woo & Sungjin Park & Sunghoon Kim, 2021. "The City-Wide Impacts of the Interactions between Shared Autonomous Vehicle-Based Mobility Services and the Public Transportation System," Sustainability, MDPI, vol. 13(12), pages 1-29, June.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:12:p:6725-:d:574598
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    References listed on IDEAS

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    1. Wilson, Nigel H. M. & Hendrickson, Chris, 1980. "Performance models of flexibly routed transportation services," Transportation Research Part B: Methodological, Elsevier, vol. 14(1-2), pages 67-78.
    2. Correia, Gonçalo Homem de Almeida & van Arem, Bart, 2016. "Solving the User Optimum Privately Owned Automated Vehicles Assignment Problem (UO-POAVAP): A model to explore the impacts of self-driving vehicles on urban mobility," Transportation Research Part B: Methodological, Elsevier, vol. 87(C), pages 64-88.
    3. Daniel J. Fagnant & Kara M. Kockelman, 2018. "Dynamic ride-sharing and fleet sizing for a system of shared autonomous vehicles in Austin, Texas," Transportation, Springer, vol. 45(1), pages 143-158, January.
    4. Eric Williams & Vivekananda Das & Andrew Fisher, 2020. "Assessing the Sustainability Implications of Autonomous Vehicles: Recommendations for Research Community Practice," Sustainability, MDPI, vol. 12(5), pages 1-13, March.
    5. Chen, T. Donna & Kockelman, Kara M. & Hanna, Josiah P., 2016. "Operations of a shared, autonomous, electric vehicle fleet: Implications of vehicle & charging infrastructure decisions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 243-254.
    6. Shokoohyar, Sina & Sobhani, Ahmad & Sobhani, Anae, 2020. "Impacts of trip characteristics and weather condition on ride-sourcing network: Evidence from Uber and Lyft," Research in Transportation Economics, Elsevier, vol. 80(C).
    7. Aybike Ongel & Erik Loewer & Felix Roemer & Ganesh Sethuraman & Fengqi Chang & Markus Lienkamp, 2019. "Economic Assessment of Autonomous Electric Microtransit Vehicles," Sustainability, MDPI, vol. 11(3), pages 1-18, January.
    8. Marco Diana & Luca Quadrifoglio & Cristina Pronello, 2009. "A methodology for comparing distances traveled by performance-equivalent fixed-route and demand responsive transit services," Transportation Planning and Technology, Taylor & Francis Journals, vol. 32(4), pages 377-399, June.
    9. Aldaihani, Majid M. & Quadrifoglio, Luca & Dessouky, Maged M. & Hall, Randolph, 2004. "Network design for a grid hybrid transit service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(7), pages 511-530, August.
    10. Shen, Yu & Zhang, Hongmou & Zhao, Jinhua, 2018. "Integrating shared autonomous vehicle in public transportation system: A supply-side simulation of the first-mile service in Singapore," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 125-136.
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    Cited by:

    1. Sehyun Tak & Sari Kim & Hwapyeong Yu & Donghoun Lee, 2022. "Analysis of Relationship between Road Geometry and Automated Driving Safety for Automated Vehicle-Based Mobility Service," Sustainability, MDPI, vol. 14(4), pages 1-13, February.
    2. Sehyun Tak & Jeongyun Kim & Donghoun Lee, 2022. "Study on the Extraction Method of Sub-Network for Optimal Operation of Connected and Automated Vehicle-Based Mobility Service and Its Implication," Sustainability, MDPI, vol. 14(6), pages 1-28, March.

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