基于演化博弈理论的城市轨道交通高峰票价定价研究

doi:10.3969-j.issn.1674-0696.2021.08.06

摘要/Abstract

摘要： 准确衡量高峰时段城市轨道交通与地面公交的时间、空间价值，确立合理的城市轨道交通票价对于城市轨道交通可持续发展显得十分重要。通过构建群体成员高峰时段对于城市轨道交通以及地面公交选择情景下的演化博弈模型，以重庆市为例，对其城市轨道交通票价定价进行了研究分析。结果表明：票价以4元为基础票价，以2元递增从一定程度上能够有效地控制城市轨道交通的客流量，并在此基础上对城市轨道交通客流量以及票价进行了敏感性分析，发现在相同票价变化幅度的情况下，出行距离越远，客流变化幅度越大，且随着出行距离的增加，客流变化幅度差值显著增加。

关键词: 交通运输工程；城市轨道交通；地面公交；演化博弈模型；票价制定；可持续发展

Abstract: It is very important for the sustainable development of urban rail transit to accurately measure the time and space value of urban rail transit and ground bus during peak hours and establish reasonable urban rail transit fares. Through constructing the evolutionary game model of group members’ choice of urban rail transit and ground bus in peak hours, the pricing of urban rail transit fares was studied and analyzed with Chongqing as an example. The results show that the urban rail transit passenger flow can be effectively controlled to a certain extent by the basic fare of 4 yuan with an increase of 2 yuan. Furthermore, the sensitivity analysis of urban rail transit passenger flow and ticket price was carried out. It is found that in the case of the same fare change range, the farther the travel distance is, the greater the passenger flow variation is. With the increase of travel distance, the difference of passenger flow change amplitude increases significantly.

Key words: traffic and transportation engineering; urban rail transit; ground bus; evolutionary game model; fare pricing; sustainable development

中图分类号:

U491.1+7

焦柳丹1,朱影含1,吴雅2,宋向南3. 基于演化博弈理论的城市轨道交通高峰票价定价研究[J]. 重庆交通大学学报（自然科学版）, 2021, 40(08): 42-49.

JIAO Liudan1, ZHU Yinghan1, WU Ya2, SONG Xiangnan3. Pricing of Urban Rail Transit Peak Fare Based on Evolutionary Game Theory[J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(08): 42-49.

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