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Stochastic Ridesharing User Equilibrium in Transport Networks

Author

Listed:
  • Chen-Yang Yan

    (University of Science and Technology of China
    The Smart City Research Institute of CETC)

  • Mao-Bin Hu

    (University of Science and Technology of China)

  • Rui Jiang

    (Beijing Jiaotong University)

  • Jiancheng Long

    (Hefei University of Technology)

  • Jin-Yong Chen

    (University of Science and Technology of China)

  • Hao-Xiang Liu

    (Hefei University of Technology)

Abstract

With the development of the Internet and mobile phone technology, it is much easier to access ridesharing information via mobile applications. In this paper, the relationship between the demand of ridesharing passengers (RPs), ridesharing drivers (RDs) and solo drivers (SDs) in a ridesharing compensation scheme is studied by a stochastic ridesharing user equilibrium (SRUE), which contains a mode choice model and a route choice model. The mode choice model and the route choice model influence each other. The SRUE is first expressed as a fixed-point problem mathematically. Six possible states of OD pairs are discussed. Then the existence of SRUE is proved. The method of successive weighted averages is adopted to solve the problem. It is found that there will be a higher demand of ridesharing passengers for journeys with longer travel time. Moreover, with the increase of the ridesharing compensation, the demand of ridesharing passengers is not always decreasing, and the demand of ridesharing drivers is not always increasing.

Suggested Citation

  • Chen-Yang Yan & Mao-Bin Hu & Rui Jiang & Jiancheng Long & Jin-Yong Chen & Hao-Xiang Liu, 2019. "Stochastic Ridesharing User Equilibrium in Transport Networks," Networks and Spatial Economics, Springer, vol. 19(4), pages 1007-1030, December.
    • Handle: RePEc:kap:netspa:v:19:y:2019:i:4:d:10.1007_s11067-019-9442-5
    DOI: 10.1007/s11067-019-9442-5
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    References listed on IDEAS

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    3. Ma, Jie & Xu, Min & Meng, Qiang & Cheng, Lin, 2020. "Ridesharing user equilibrium problem under OD-based surge pricing strategy," Transportation Research Part B: Methodological, Elsevier, vol. 134(C), pages 1-24.
    4. Li, Tongfei & Xu, Min & Sun, Huijun & Xiong, Jie & Dou, Xueping, 2023. "Stochastic ridesharing equilibrium problem with compensation optimization," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
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    6. Rui Yao & Shlomo Bekhor, 2021. "A Dynamic Tree Algorithm for Peer-to-Peer Ridesharing Matching," Networks and Spatial Economics, Springer, vol. 21(4), pages 801-837, December.
    7. Vizuete-Luciano, Emili & Guillén-Pujadas, Miguel & Alaminos, David & Merigó-Lindahl, José María, 2023. "Taxi and urban mobility studies: A bibliometric analysis," Transport Policy, Elsevier, vol. 133(C), pages 144-155.
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