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Competition between the transportation network company and the government with subsidies to public transit riders

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  • Zhu, Zheng
  • Xu, Ailing
  • He, Qiao-Chu
  • Yang, Hai

Abstract

The substitution and complement of ride-sourcing services and public transit services greatly affect the mobility and accessibility of a multi-modal transportation system. Since the transportation network company (TNC) (operator of ride-sourcing) concerns the profit and the government (operator of public transit) promotes social welfare, the two policy-makers will both cooperate and compete with each other to enhance their benefits. In this paper, we develop a bi-level game-theoretic approach to model the cooperative and competitive relationship between the TNC and the government. In the upper level, the two policy-makers design a cooperative plan such that the government provides subsidies to public transit riders who use ride-sourcing to solve first- or last-mile problems. In the lower level, they attempt to optimize operational strategies to compete with each other for achieving their objectives. The outcome of the bi-level game depends on passengers’ choices among alternative travel modes, which is characterized by an aggregate multi-modal market. Based on the proposed game-theoretic approach, we analytically and numerically examine the impact of the competition with passenger-side subsidies on the multi-modal system, and the existence of optimal strategies that lead to a win–win situation for both the policy-makers. We find that a socially-optimal subsidy level may exist. In areas with high public transit accessibility, a good-intentioned subsidy that boosts first- or last-mile ride-sourcing services can reduce the TNC’s profit. Our research highlights the value of a carefully designed subsidy structure that benefits both the TNC (profit) and the society (social welfare), especially in areas with low public transit accessibilities.

Suggested Citation

  • Zhu, Zheng & Xu, Ailing & He, Qiao-Chu & Yang, Hai, 2021. "Competition between the transportation network company and the government with subsidies to public transit riders," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
  • Handle: RePEc:eee:transe:v:152:y:2021:i:c:s1366554521001927
    DOI: 10.1016/j.tre.2021.102426
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    3. Srivastava, Abhishek & Kumar, Rajeev Ranjan & Chakraborty, Abhishek & Mateen, Arqum & Narayanamurthy, Gopalakrishnan, 2022. "Design and selection of government policies for electric vehicles adoption: A global perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    4. Jing Gao & Sen Li, 2023. "Regulating For-Hire Autonomous Vehicles for An Equitable Multimodal Transportation Network," Papers 2301.05798, arXiv.org, revised Oct 2023.
    5. 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).
    6. Liu, Jiaguo & Zhao, Aixiang & Kong, Yudan & Wang, Junjin, 2022. "Optimal subsidy policies of the Chinese cruise market under the impact of COVID-19," Transport Policy, Elsevier, vol. 126(C), pages 280-291.
    7. Jun Tu & Juan Du & Min Huang, 2023. "Competition between Green and Non-Green Travel Companies: The Role of Governmental Subsidies in Green Travel," Sustainability, MDPI, vol. 15(9), pages 1-33, May.

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