中国安全科学学报 ›› 2025, Vol. 35 ›› Issue (S1): 14-20.doi: 10.16265/j.cnki.issn1003-3033.2025.S1.0003

• 安全社会科学与安全管理 • 上一篇    下一篇

外卖骑手交通事故风险承担机制的博弈分析与改进

冯博(), 刘龙**()   

  1. 天津财经大学 法学院, 天津 300222
  • 收稿日期:2025-02-11 修回日期:2025-04-28 出版日期:2025-09-02
  • 通信作者:
    ** 刘龙(2000—),男,安徽阜阳人,博士研究生,主要研究方向为安全法学、安全经济学。E-mail:
  • 作者简介:

    冯 博 (1981—),女,天津人,博士,教授,博士生导师,主要从事安全法学、安全经济学等方面的研究。E-mail:

  • 基金资助:
    教育部人文社会科学重点研究基地重大项目(22JJD790005)

Game analysis and improvement of risk bearing mechanism for delivery rider-involved traffic accidents

FENG Bo(), LIU Long**()   

  1. School of Law, Tianjin University of Finance and Economics, Tianjin 300222, China
  • Received:2025-02-11 Revised:2025-04-28 Published:2025-09-02

摘要: 为有效配置外卖骑手交通事故风险,减少外卖骑手配送途中的交通安全事故,构建博弈模型,研究外卖骑手和外卖平台利益的对立统一关系,深入分析外卖骑手与外卖平台围绕“谁承担交通事故风险”展开的博弈,并结合博弈分析结果,对我国外卖骑手交通事故责任的法律规定提出建议。结果表明:如果外卖骑手承担交通事故风险的预期损失小于外卖平台承担交通事故风险的预期损失,外卖平台不会承担交通事故风险,外卖骑手被迫承担交通事故风险;如果外卖骑手承担交通事故风险的预期损失大于外卖平台承担交通事故风险的预期损失,外卖平台会承担交通事故风险;如果外卖骑手承担交通事故风险的预期损失与外卖平台承担交通事故风险的预期损失均较大且前者与后者相差较大,外卖平台应对交通事故风险的行动不利于外卖骑手福利、社会总福利,此时法律为实现外卖骑手福利最大化、社会总福利最大化,应规定工资水平较低的外卖平台承担骑手交通事故责任,工资水平较高平台的外卖骑手承担交通事故责任。

关键词: 外卖骑手, 交通事故风险, 承担机制, 外卖平台, 博弈模型, 交通事故责任

Abstract:

In order to effectively manage delivery riders' traffic accident risks and reduce road safety incidents during food delivery, a game model was constructed to study the antagonistic yet unified relationship between the interests of food delivery riders and food delivery platforms. The game between food delivery riders and food delivery platforms regarding ″who bears the risk of traffic accidents″ was deeply analyzed, and the game analysis results were used to propose suggestions for optimizing the legal provisions on traffic accident liability of food delivery riders in China. The results show that if the expected loss borne by the delivery rider for the traffic accident risk is less than the expected loss borne by the delivery platform, the delivery platform will not bear the traffic accident risk, and the delivery rider is forced to bear it. If the expected loss borne by the delivery rider is greater than the expected loss borne by the delivery platform, the delivery platform will bear the risk of traffic accidents. If the expected loss borne by both the food delivery rider and the platform is large, and the difference between them is significant, the platform's approaches to managing the traffic accident risk are not conducive to the welfare of the food delivery riders and overall society welfare. In this case, the law should stipulate that the food delivery platform with lower wage levels bears the riders' traffic accident liability, while riders on platforms with higher wage levels bear the liability, so as to maximize the welfare of the delivery riders and overall social welfare.

Key words: delivery rider, traffic accident risk, bearing mechanism, food delivery platform, game model, traffic accident liability

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