摘要
共享汽车不同供给模式影响了用户出行方式选择,其演化过程和影响因素有待深入剖析。本文基于演化博弈理论和用户有限理性,对应以“经济”和“高效”为两个阶段的服务目标,分别构建定点式、浮动式共享汽车与私家车博弈的情形,并讨论在此两种情形下用户选择演化路径。模型考虑了共享汽车数量、租赁价格和用户寻车时间等主要影响因素,同时进行了系统均衡稳定性分析和数值仿真。结果表明:(1)共享汽车初始数量以及出行成本为私家车数量和出行成本的50%时,可以实现自身的长期稳定发展;(2)浮动式共享汽车出行收益效用为私家车2倍时,可以吸引近50%用户;(3)共享汽车收益和数量的增加能够有效抑制私家车收敛于1的速率,甚至破坏现有的稳定点。本研究对政府及相关企业发展和推广共享汽车具有重要借鉴意义。
Different car sharing supply modes affect users’travel choices.Hence,their evolutionary processes and influencing factors must be analyzed in depth.Based on evolutionary game theory and users’bounded rationality,this paper constructs the evolutionary game scenarios of station-based and free-floating car sharing with economy and efficiency as the service goals.Furthermore,it discusses the users’evolutionary path choices in these two scenarios.The study considers the main influencing factors,such as the number of car sharing,rental price,and the user’s search time.Additionally,a system equilibrium stability analysis and numerical simulation are carried out.The results show that:(1)the initial number of shared cars and the travel cost can achieve their own long-term stable development when they constitute 50%of the number and travel cost of private cars.(2)floating shared cars can attract nearly 50%of users when their travel benefit utility is twice that of private cars.(3)the increase in shared cars’benefit and number can effectively suppress the rate of conver gence of private cars to one,or even destroy the existing stability point.This study has important implications for the government and related companies in developing and promoting car sharing.
作者
闫康礼
申栋夫
汪寒冰
牟振华
YAN Kang-li;SHEN Dong-fu;WANG Han-bing;MOU Zhen-hua(School of Transportation Engineering,Shandong Jianzhu University,Jinan 250101,China)
出处
《交通运输工程与信息学报》
2022年第1期63-72,共10页
Journal of Transportation Engineering and Information
基金
教育部人文社科基金项目(19YJC630124)。
关键词
城市交通
出行选择行为
动态适应
演化博弈
共享汽车
urban traffic
travel choice behavior
dynamic adaptation
evolutionary game theory
car sharing
