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A general equilibrium model for multi-passenger ridesharing systems with stable matching

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  • Yao, Rui
  • Bekhor, Shlomo

Abstract

This paper proposes a general equilibrium model for multi-passenger ridesharing systems, in which interactions between ridesharing drivers, passengers, platforms, and transportation networks are endogenously captured. Stable matching is modeled as an equilibrium problem in which no ridesharing driver or passenger can reduce his/her ridesharing disutility by unilaterally switching to another matching sequence.

Suggested Citation

  • Yao, Rui & Bekhor, Shlomo, 2023. "A general equilibrium model for multi-passenger ridesharing systems with stable matching," Transportation Research Part B: Methodological, Elsevier, vol. 175(C).
    • Handle: RePEc:eee:transb:v:175:y:2023:i:c:s0191261523000929
    DOI: 10.1016/j.trb.2023.05.012
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    1. Rui Yao & Kenan Zhang, 2023. "How would mobility-as-a-service (MaaS) platform survive as an intermediary? From the viewpoint of stability in many-to-many matching," Papers 2310.08285, arXiv.org.

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