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A System of Shared Autonomous Vehicles Combined with Park-And-Ride in Residential Areas

Author

Listed:
  • Yefang Zhou

    (Graduate School of Engineering, Nagoya University, Nagoya 4648601, Japan)

  • Yanyan Li

    (Institute of Materials and Systems for Sustainability, Nagoya University, Nagoya 4648601, Japan)

  • Mingyang Hao

    (Graduate School of Engineering, Nagoya University, Nagoya 4648601, Japan)

  • Toshiyuki Yamamoto

    (Institute of Materials and Systems for Sustainability, Nagoya University, Nagoya 4648601, Japan)

Abstract

As suburbanization and unprecedented population aging are converging, enhanced personal mobility for suburban residents is required. In this study, a collaborative scheme involving park-and-ride services associated with public transport and a shared autonomous vehicle system are proposed. Two residential areas in the Nagoya metropolitan region, Japan, are considered: a residential area at the outer edge of a subway line and a commuter town with a nearby railway station. Three user groups are assumed: park-and-ride commuters who park shared autonomous vehicles at the station and take the train to their workplaces; inbound commuters who disembark from trains at the station and use the vehicles to reach their workplaces within the target area; and elderly and disabled residents, who use shared autonomous vehicles for trips within the target area. The system performance is investigated through agent-based simulation. The results suggest that, in the edge case, approximately 400 shared autonomous vehicles can facilitate more than 10,000 trips at an appropriate level of service. For the commuter town, fewer than 400 vehicles can provide rapid responses with a wait time of approximately 5 min for more than 5000 trips per day. Thus, the proposed system can feasibly provide a quick response service.

Suggested Citation

  • Yefang Zhou & Yanyan Li & Mingyang Hao & Toshiyuki Yamamoto, 2019. "A System of Shared Autonomous Vehicles Combined with Park-And-Ride in Residential Areas," Sustainability, MDPI, vol. 11(11), pages 1-15, June.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:11:p:3113-:d:236623
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    References listed on IDEAS

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    Cited by:

    1. Jairo Ortega & János Tóth & Tamás Péter & Sarbast Moslem, 2020. "An Integrated Model of Park-And-Ride Facilities for Sustainable Urban Mobility," Sustainability, MDPI, vol. 12(11), pages 1-15, June.
    2. Cortina, Mélanie & Chiabaut, Nicolas & Leclercq, Ludovic, 2023. "Fostering synergy between transit and Autonomous Mobility-on-Demand systems: A dynamic modeling approach for the morning commute problem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    3. Manivasakan, Hesavar & Kalra, Riddhi & O'Hern, Steve & Fang, Yihai & Xi, Yinfei & Zheng, Nan, 2021. "Infrastructure requirement for autonomous vehicle integration for future urban and suburban roads – Current practice and a case study of Melbourne, Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 36-53.
    4. Filippo Carrese & Simone Sportiello & Tolegen Zhaksylykov & Chiara Colombaroni & Stefano Carrese & Muzio Papaveri & Sergio Maria Patella, 2023. "The Integration of Shared Autonomous Vehicles in Public Transportation Services: A Systematic Review," Sustainability, MDPI, vol. 15(17), pages 1-12, August.
    5. Bahk, Younghun & Hyland, Michael & An, Sunghi, 2024. "Re-envisioning the Park-and-Ride concept for the automated vehicle (AV) era with Private-to-Shared AV transfer stations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    6. Yefang Zhou & Hitomi Sato & Toshiyuki Yamamoto, 2021. "Shared Low-Speed Autonomous Vehicle System for Suburban Residential Areas," Sustainability, MDPI, vol. 13(15), pages 1-15, August.
    7. Zhou, Yefang & Sato, Hitomi & Yamamoto, Toshiyuki, 2023. "Resourcing idle privately owned autonomous electric vehicles: System design and simulation for ride-sharing in residential areas of the aging in Japan," Transport Policy, Elsevier, vol. 143(C), pages 46-57.

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