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The Morning Commute Problem with Ridesharing When Meet Stochastic Bottleneck

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  • Zipeng Zhang

    (School of Economics and Management, Beihang University, Beijing 100191, China)

  • Ning Zhang

    (School of Economics and Management, Beihang University, Beijing 100191, China)

Abstract

This paper extends Vickrey’s point-queue model to study ridesharing behavior during a morning commute with uncertain bottleneck location. Unlike other ridesharing cost analysis models, there are two congestion cases and four dynamic departure patterns in our model: pre-pickup congestion case and post-pickup congestion case; both early pattern, both late pattern, late for pickup but early for work pattern, and early for pickup but late for work pattern. Analytical results indicate that the dynamic property of the mixed commuters equilibrium varies with the endogenous penetration rates associated with ridesharing commutes, as well as the schedule difference between pickup and work. This work is expected to promote the development of ridesharing to mitigate the traffic congestion and motivate related research of schedule coordination for regulating the ridesharing travel behavior in terms of the morning commute problem.

Suggested Citation

  • Zipeng Zhang & Ning Zhang, 2021. "The Morning Commute Problem with Ridesharing When Meet Stochastic Bottleneck," Sustainability, MDPI, vol. 13(11), pages 1-13, May.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:11:p:6040-:d:563283
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    References listed on IDEAS

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    Cited by:

    1. Zipeng Zhang & Ning Zhang, 2021. "Early Bird Scheme for Parking Management: How Does Parking Play a Role in the Morning Commute Problem," Sustainability, MDPI, vol. 13(15), pages 1-19, July.
    2. Zipeng Zhang & Ning Zhang, 2021. "Re-Recognition of Ride-Sourcing Service: From the Perspective of Operational Efficiency and Social Welfare," Sustainability, MDPI, vol. 13(15), pages 1-14, July.

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