个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职:Director of International Office Dean of School of Transportation and Logistics
其他任职:交通运输学院名誉院长
性别:男
毕业院校:日本东京大学
学位:博士
所在单位:交通运输系
学科:交通运输规划与管理. 交通系统工程. 市政工程. 行政管理
联系方式:0411-84708224
电子邮箱:szhao@dlut.edu.cn
Impact of Feeder Accessibility on High-Speed Rail Share: Wuhan-Guangzhou Corridor, China
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论文类型:期刊论文
发表时间:2018-12-01
发表刊物:JOURNAL OF URBAN PLANNING AND DEVELOPMENT
收录刊物:SCIE、SSCI
卷号:144
期号:4
ISSN号:0733-9488
关键字:High-speed rail; Feeder accessibility; Mixed logit model; Willingness to pay; Wuhan-Guangzhou corridor
摘要:The location of a high-speed rail (HSR) station influences passenger flow distribution, land use pattern, and the ridership of a HSR. Therefore, the planning of HSR routes and stations requires special attention. This study aims to investigate the impact of feeder accessibility on HSR share along the Wuhan-Guangzhou corridor and explore individuals' willingness to pay for feeder and trunk service. Moreover, characteristics of people who are inclined to choose HSR and air are studied. Because mixed logit (ML) can accommodate population heterogeneity, it is used to explain passenger behavior. Estimation results indicate that a lognormal ML model is significantly better than multinomial logit (MNL) and normal ML models in terms of goodness of fit. The value of willingness-to-pay from the lognormal ML model is also more reasonable. One Chinese yuan of feeder cost equals around CNY 5 of trunk cost, which can provide some implications for price decision-making. Finally, the sensitivity of intercity mode share change is tested. Sensitivity analysis also suggests that feeder accessibility is crucial in enhancing the ridership, and no winner is produced in the price battle between HSR and air. (C) 2018 American Society of Civil Engineers.