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山东大学学报 (工学版) ›› 2025, Vol. 55 ›› Issue (1): 30-40.doi: 10.6040/j.issn.1672-3961.0.2023.263

• 机器学习与数据挖掘 • 上一篇    

基于时变需求的异质网约车平台竞合行为分析

李嫚嫚1,孙加辉2,付颖斌1*,凃强3   

  1. 1.长安大学汽车学院, 陕西 西安 710061;2.西安航天动力试验技术研究所, 陕西 西安 710100;3.重庆交通大学交通运输学院, 重庆 400074
  • 发布日期:2025-02-20
  • 作者简介:李嫚嫚(1991— ),女,陕西咸阳人,讲师,硕士生导师,博士,主要研究方向为交通运输系统建模与优化. E-mail: limanman@chd.edu.cn. *通信作者简介:付颖斌(1982— ),男,陕西西安人,讲师,博士,主要研究方向为交通运输系统建模与优化. E-mail: fu.yingbin@chd.edu.cn
  • 基金资助:
    陕西省自然科学基础研究计划资助项目(2021JQ-263,2023-JC-QN-0526);重庆市社会科学规划项目(2022BS082);重庆市教委科学技术研究项目(KJQN202100715)

Coopetition behaviors analysis of heterogeneous ride-sourcing platforms based on time-varying demand

LI Manman1, SUN Jiahui2, FU Yingbin1*, TU Qiang3   

  1. 1. School of Automobile, Chang'an University, Xi'an 710061, Shaanxi, China;
    2. Xi'an Aerospace Propulsion Test Technique Institute, Xi'an 710100, Shaanxi, China;
    3. College of Traffic and Transportation, Chongqing Jiaotong University, Chongqing 400074, China
  • Published:2025-02-20

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摘要： 为明晰异质网约车平台竞合行为,以利他因子连续量化平台合作意愿,考虑网约车需求的时变特性,基于时空网络构建异质平台竞合均衡模型,描述异质平台竞合行为与其收益的耦合关系。根据模型的非线性特征,以利他因子、司机工资率以及出行服务价格为局部搜索对象,设计迭代局部搜索算法求解模型,解析异质平台竞合行为。通过算例分析发现,迭代局部搜索算法的求解性能优于遗传算法,且能够识别出好解特征;轻资产平台单方面将利他因子从0增加到1,系统总收益降低,而重资产平台单方面将利他因子从0增加到1,系统总收益提高;网约车需求量和时变特性都会影响异质平台竞合行为;轻资产平台利他因子会随网约车需求的增加从0变为1。

关键词: 网约车, 竞合博弈, 时变需求, 利他因子, 迭代局部搜索算法

中图分类号: 

  • TP182
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