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Re-envisioning the Park-and-Ride concept for the automated vehicle (AV) era with Private-to-Shared AV transfer stations

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  • Bahk, Younghun
  • Hyland, Michael
  • An, Sunghi

Abstract

Cities implemented park-and-ride (PNR) systems to decrease congestion in dense urban areas while providing transit options to travelers who live in a city's low- to medium-density regions. The success of PNR systems is mixed, as they suffer from several disadvantages, namely, the uncertainty of parking locations and infrequent and/or unreliable transit services, and the fact that travelers still need to walk to their destination. Motivated by the premise of PNR systems and the potential of automated vehicles (AVs), to address each of the shortcomings of PNR systems, this study proposes a future system with near-ubiquitous AVs where travelers transfer from privately owned AVs (PAVs) to shared-use, shared-ride AVs (SAVs), called a PAV-SAV transfer system. This study proposes a modeling framework to assess the potential market share of the PAV-SAV transfer system and the network impacts (e.g., congestion, vehicle miles traveled) of the proposed system. Finally, the study identifies good designs for the PAV-SAV transfer system using scenario analysis. The critical design variables are the location of transfer stations, the capacity of SAVs, and the transfer station connector links. For the Greater Los Angeles area, the computational results show a market share for PAV-SAV of almost 18% for person trips terminating in downtown Los Angeles. In all scenarios, the proposed PAV-SAV system decreases vehicle hours traveled (VHT) across the whole network with significant decreases in the urban core. For all designs, the PAV-SAV system decreases vehicle miles traveled (VMT) compared to a network without PAV-SAV transfer stations, albeit only slightly. Locating transfer stations closer to the urban core, increasing vehicle capacities, and connecting transfer stations to both arterial links and highway links improves network performance (i.e., VMT and VHT) and increases the market share of the PAV-SAV system.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:transa:v:181:y:2024:i:c:s0965856424000570
    DOI: 10.1016/j.tra.2024.104009
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    References listed on IDEAS

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    1. Ahmed, Tanjeeb & Hyland, Michael & Sarma, Navjyoth J.S. & Mitra, Suman & Ghaffar, Arash, 2020. "Quantifying the employment accessibility benefits of shared automated vehicle mobility services: Consumer welfare approach using logsums," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 221-247.
    2. 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.
    3. Judd Cramer & Alan B. Krueger, 2016. "Disruptive Change in the Taxi Business: The Case of Uber," American Economic Review, American Economic Association, vol. 106(5), pages 177-182, May.
    4. Parkhurst, Graham, 1995. "Park and ride: Could it lead to an increase in car traffic?," Transport Policy, Elsevier, vol. 2(1), pages 15-23, January.
    5. Wardman, Mark, 2004. "Public transport values of time," Transport Policy, Elsevier, vol. 11(4), pages 363-377, October.
    6. Parkhurst, G., 2000. "Influence of bus-based park and ride facilities on users' car traffic," Transport Policy, Elsevier, vol. 7(2), pages 159-172, April.
    7. Fan, Yinchao & Ding, Jianxun & Liu, Haoxiang & Wang, Yu & Long, Jiancheng, 2022. "Large-scale multimodal transportation network models and algorithms-Part I: The combined mode split and traffic assignment problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    8. Huang, Yantao & Kockelman, Kara M. & Quarles, Neil, 2020. "How will self-driving vehicles affect U.S. megaregion traffic? The case of the Texas Triangle," Research in Transportation Economics, Elsevier, vol. 84(C).
    9. Kaddoura, Ihab & Bischoff, Joschka & Nagel, Kai, 2020. "Towards welfare optimal operation of innovative mobility concepts: External cost pricing in a world of shared autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 48-63.
    10. Prateek Bansal & Kara M. Kockelman, 2018. "Are we ready to embrace connected and self-driving vehicles? A case study of Texans," Transportation, Springer, vol. 45(2), pages 641-675, March.
    11. Liu, Zhiyuan & Chen, Xinyuan & Meng, Qiang & Kim, Inhi, 2018. "Remote park-and-ride network equilibrium model and its applications," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 37-62.
    12. Karamychev, Vladimir & van Reeven, Peran, 2011. "Park-and-ride: Good for the city, good for the region?," Regional Science and Urban Economics, Elsevier, vol. 41(5), pages 455-464, September.
    13. Kröger, Lars & Kuhnimhof, Tobias & Trommer, Stefan, 2019. "Does context matter? A comparative study modelling autonomous vehicle impact on travel behaviour for Germany and the USA," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 146-161.
    14. Alejandro Henao & Wesley E. Marshall, 2019. "The impact of ride-hailing on vehicle miles traveled," Transportation, Springer, vol. 46(6), pages 2173-2194, December.
    15. Kolarova, Viktoriya & Steck, Felix & Bahamonde-Birke, Francisco J., 2019. "Assessing the effect of autonomous driving on value of travel time savings: A comparison between current and future preferences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 155-169.
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