交通信息与安全2024，Vol.42Issue(6)：143-151,9.DOI:10.3963/j.jssn.1674-4861.2024.06.015
考虑出行行为的机场轨道交通服务水平优化方法
Level of Service Optimization Method for Airport Rail Transit Considering Travel Behavior
摘要
Abstract
This paper aims to balance the utilization rate of transport capacity,level of service and operational profit for airport rail transit,a level of service optimization method for airport rail transit is proposed,considering travel behavior.Specifically,a nested Logit(NL)model considering behavior inertia is established to simulate the landside travel mode choice behavior of passengers accessing the airport.The model includes variables related to behavioral inertia,such as revealed preference(RP)dependence,stated preference(SP)dependence,local residency,and trans-fer difficulty.On this basis,a level of service optimization model for airport rail transit is built to investigate the rela-tionships among level of service factors,such as ticket price,departure interval,peak hour load factor,as well as market share of rail transit and operation profit of rail transit.Corresponding level of service optimization proposals are then presented.The results of case study conducted in Xi'an city show that:①SP survey results are influenced by behavioral inertia.Specifically,the current SP questionnaire survey results of respondents are positively depen-dent on their actual travel choice behaviors and the previous SP survey results,while the dependence on actual trav-el choice behavior is higher than that on previous SP survey results.②The proposed NL model,which considers be-havioral inertia,outperforms the conventional multinomial Logit(MNL)model that does not account for behavioral inertia.The R-squared value of the NL model is improved by 40.86%compared to the MNL model.③The proposed optimization model can be solved using enumeration method.If the congestion degree of the current airport rail tran-sit("somewhat crowded")in the case city is expected to reach the"critical state"threshold,to avoid a decrease in the market share of rail transit and maximize ticket revenue,it is recommended that the ticket price be increased by 3 yuan,provided that the departure interval is reduced by 1 minute.关键词
轨道交通/机场旅客/服务水平优化/嵌套Logit模型/行为惯性Key words
rail transit/airport passenger/level of service optimization/nested Logit model/behavior inertia分类
交通工程引用本文复制引用
张锐,薛紫薇,刘昕睿..考虑出行行为的机场轨道交通服务水平优化方法[J].交通信息与安全,2024,42(6):143-151,9.基金项目
国家自然科学基金项目(72371035)、陕西省重点研发计划项目(2023YBGY143)、综合交通运输大数据应用技术交通运输行业重点实验室(北京交通大学)开放基金(ZHJTDSJ202203)资助 （72371035）
