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Efficiency, Fairness, and Stability in Non-Commercial Peer-to-Peer Ridesharing

Author

Listed:
  • Hoon Oh
  • Yanhan Tang
  • Zong Zhang
  • Alexandre Jacquillat
  • Fei Fang

Abstract

Unlike commercial ridesharing, non-commercial peer-to-peer (P2P) ridesharing has been subject to limited research -- although it can promote viable solutions in non-urban communities. This paper focuses on the core problem in P2P ridesharing: the matching of riders and drivers. We elevate users' preferences as a first-order concern and introduce novel notions of fairness and stability in P2P ridesharing. We propose algorithms for efficient matching while considering user-centric factors, including users' preferred departure time, fairness, and stability. Results suggest that fair and stable solutions can be obtained in reasonable computational times and can improve baseline outcomes based on system-wide efficiency exclusively.

Suggested Citation

  • Hoon Oh & Yanhan Tang & Zong Zhang & Alexandre Jacquillat & Fei Fang, 2021. "Efficiency, Fairness, and Stability in Non-Commercial Peer-to-Peer Ridesharing," Papers 2110.01152, arXiv.org, revised Jun 2023.
    • Handle: RePEc:arx:papers:2110.01152
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    References listed on IDEAS

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