Modeling the Impacts of Driver Income Distributions on Online Ride-hailing Services
ID:2016 View Protection:ATTENDEE Updated Time:2021-12-03 14:44:49 Hits:238 Poster Presentation

Start Time:2021-12-17 09:03(Asia/Shanghai)

Duration:1min

Session:P2 Poster2021 » P2T3Track 3 Transportation Planning and Policy

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Abstract
The online ride-hailing taxi brings new vitality into the traditional taxi market as well as emerging issues and challenges. As the supervision of online ride-hailing market has triggered a heated discussion, the protection of drivers' interests in the online ride-hailing system is one of the major concerns. This study focuses on the pricing and income distribution in the online ride-hailing system. Queuing system model and birth and death process theory are introduced to describe the driver's flow process in the network. The social welfare maximization model and the platform benefit maximization model are constructed based on the dynamic pricing mechanism, from the government’s and platform’s standpoint respectively. Numerical experiments are performed to analyze the driver's income distribution under the conditions of different settings. Suggestions on the government’s regulation and guidance are put forward based on the experiment results.
Keywords
CICTP
Speaker
Weifeng Li
Tongji University

Submission Author
Weifeng Li Tongji University
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Important Date
  • Conference Date

    Dec 17

    2021

    to

    Dec 20

    2021

  • Dec 16 2021

    Contribution Submission Deadline

  • Dec 24 2021

    Registration deadline

Sponsored By
Chinese Overseas Transportation Association
Chang'an University
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