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Online Car-Hailing Market Regulation Strategy in China: From the Perspective of Quadrilateral Evolutionary Games

Author

Listed:
  • Yong Peng

    (Chongqing jiaotong University)

  • YaPing Hou

    (Transportation Bureau in Shizhong District of Neijiang City)

  • ShuHan Gao

    (Chongqing jiaotong University)

Abstract

This paper fully considers the influence of the government, platforms, drivers and passengers on the regulation of online car-hailing market, and constructs an evolutionary game model of four parties. Then, the strategic stability of evolutionary game model is analyzed. Eleven strategies satisfying the stability conditions are obtained. Finally, the simulation verify the results of analysis. The simulation shows that parties’ decisions will be changed by the strength of the initial willingness. When the rewards and punishments increase, the self-restraint ability of the platform and the drivers can be strengthened. And then, by analyzing the managerial cost, this paper finds that reducing cost can accelerate the system to the stable state. Based on this, the paper puts forward relevant policy suggestions to promote the regulation of online car-hailing market.

Suggested Citation

  • Yong Peng & YaPing Hou & ShuHan Gao, 2024. "Online Car-Hailing Market Regulation Strategy in China: From the Perspective of Quadrilateral Evolutionary Games," Computational Economics, Springer;Society for Computational Economics, vol. 64(2), pages 815-840, August.
    • Handle: RePEc:kap:compec:v:64:y:2024:i:2:d:10.1007_s10614-023-10461-9
    DOI: 10.1007/s10614-023-10461-9
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    References listed on IDEAS

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    6. Zhicheng Weng & Pinliang Luo, 2021. "Supervision of the Default Risk of Online Car-Hailing Platform from an Evolutionary Game Perspective," Sustainability, MDPI, vol. 13(2), pages 1-19, January.
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