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

Yong Peng (), YaPing Hou () and ShuHan Gao ()
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Yong Peng: Chongqing jiaotong University
YaPing Hou: Transportation Bureau in Shizhong District of Neijiang City
ShuHan Gao: Chongqing jiaotong University

Computational Economics, 2024, vol. 64, issue 2, No 8, 815-840

Abstract: 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.

Keywords: Quadrilateral evolutionary game; Monte Carlo simulation; Online car-hailing market; Market regulation (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10614-023-10461-9

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