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Analysis of multi-modal commute behavior with feeding and competing ridesplitting services

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  • Zhu, Zheng
  • Qin, Xiaoran
  • Ke, Jintao
  • Zheng, Zhengfei
  • Yang, Hai

Abstract

Public transit is an essential travel mode in many urban areas. Emerging dynamic ridesplitting programs provided by transportation network companies (TNCs) can be a double-edged sword to public transit. On the one hand, the program provides convenient services to solve first- and last-mile problems. On the other hand, long-distance ridesplitting services may also draw passengers away from public transit. In this paper, we propose a network model to analyze multi-modal commute behavior with ridesplitting programs as both feeders and competitors to public transit, which is with limited accessibility to passengers. The ridesplitting priority and ridesplitting fare ratio (i.e., ridesplitting fare over non-ridesplitting fare) are incorporated as operational strategies of the TNC. Through numerical studies, we find that a significant number of public transit passengers will shift to long-distance ridesplitting services under low fare ratios; and a high ridesplitting priority can lead to a demand drawback for long-distance ridesplitting, which raises public transit ridership. To maintain public transit ridership, the TNC needs to keep a high fare ratio and a high priority; meanwhile, the number of short-distance ridesplitting orders can also decrease dramatically, which may lead to a loss in unit time revenue of the TNC. We note that a win–win condition can be reached through a separated discount strategy for first- and last-mile ridesplitting services. Such a strategy can both increase the number of short-distance ridesplitting orders for the TNC and boost transit ridership for the government, as well as provide low-cost services to passengers.

Suggested Citation

  • Zhu, Zheng & Qin, Xiaoran & Ke, Jintao & Zheng, Zhengfei & Yang, Hai, 2020. "Analysis of multi-modal commute behavior with feeding and competing ridesplitting services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 713-727.
    • Handle: RePEc:eee:transa:v:132:y:2020:i:c:p:713-727
    DOI: 10.1016/j.tra.2019.12.018
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    as
    1. Yap, Menno D. & Correia, Gonçalo & van Arem, Bart, 2016. "Preferences of travellers for using automated vehicles as last mile public transport of multimodal train trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 1-16.
    2. Hai Wang & Amedeo Odoni, 2016. "Approximating the Performance of a “Last Mile” Transportation System," Transportation Science, INFORMS, vol. 50(2), pages 659-675, May.
    3. Meng Li & Guowei Hua & Haijun Huang, 2018. "A Multi-Modal Route Choice Model with Ridesharing and Public Transit," Sustainability, MDPI, vol. 10(11), pages 1-14, November.
    4. Xiaolei Wang & Hai Yang & Daoli Zhu, 2018. "Driver-Rider Cost-Sharing Strategies and Equilibria in a Ridesharing Program," Transportation Science, INFORMS, vol. 52(4), pages 868-881, August.
    5. Zhu, Zheng & Li, Xinwei & Liu, Wei & Yang, Hai, 2019. "Day-to-day evolution of departure time choice in stochastic capacity bottleneck models with bounded rationality and various information perceptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 168-192.
    6. Chen, Yiwei & Wang, Hai, 2018. "Pricing for a Last-Mile Transportation System," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 57-69.
    7. Yang, Hai & Yang, Teng, 2011. "Equilibrium properties of taxi markets with search frictions," Transportation Research Part B: Methodological, Elsevier, vol. 45(4), pages 696-713, May.
    8. Yang, Hai & Leung, Cowina W.Y. & Wong, S.C. & Bell, Michael G.H., 2010. "Equilibria of bilateral taxi-customer searching and meeting on networks," Transportation Research Part B: Methodological, Elsevier, vol. 44(8-9), pages 1067-1083, September.
    9. Martin, Elliot & Shaheen, Susan, 2011. "The Impact of Carsharing on Public Transit and Non-Motorized Travel: An Exploration of North American Carsharing Survey Data," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6xt6d5jv, Institute of Transportation Studies, UC Berkeley.
    10. Elliot Fishman & Simon Washington & Narelle Haworth, 2013. "Bike Share: A Synthesis of the Literature," Transport Reviews, Taylor & Francis Journals, vol. 33(2), pages 148-165, March.
    11. Zheng Zhu & Xiqun Chen & Chenfeng Xiong & Lei Zhang, 2018. "A mixed Bayesian network for two-dimensional decision modeling of departure time and mode choice," Transportation, Springer, vol. 45(5), pages 1499-1522, September.
    12. Elliot Martin & Susan Shaheen, 2011. "The Impact of Carsharing on Public Transit and Non-Motorized Travel: An Exploration of North American Carsharing Survey Data," Energies, MDPI, vol. 4(11), pages 1-21, November.
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    14. Qing-Long Lu & Moeid Qurashi & Constantinos Antoniou, 2024. "A ridesplitting market equilibrium model with utility-based compensation pricing," Transportation, Springer, vol. 51(2), pages 439-474, April.
    15. Berrada, Jaâfar & Poulhès, Alexis, 2021. "Economic and socioeconomic assessment of replacing conventional public transit with demand responsive transit services in low-to-medium density areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 317-334.
    16. Gao, Jing & Li, Sen, 2024. "Regulating for-hire autonomous vehicles for an equitable multimodal transportation network," Transportation Research Part B: Methodological, Elsevier, vol. 183(C).
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    19. MELIS, Lissa & QUEIROZ, Michell & SÖRENSEN, kenneth, 2021. "The integrated on-demand bus routing problem," Working Papers 2021004, University of Antwerp, Faculty of Business and Economics.
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    24. Lei Wang & Wenxiang Li & Jinxian Weng & Dong Zhang & Wanjing Ma, 2023. "Do low-carbon rewards incentivize people to ridesplitting? Evidence from structural analysis," Transportation, Springer, vol. 50(5), pages 2077-2109, October.

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