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Urban Railway Accessibility
作者姓名:关宏志  殷远飞  严海  韩艳  秦焕美
作者单位:Key Laboratory of Traffic Engineering Beijing University of Technology Beijing 100022 China,Key Laboratory of Traffic Engineering Beijing University of Technology Beijing 100022 China,Key Laboratory of Traffic Engineering Beijing University of Technology Beijing 100022 China,Key Laboratory of Traffic Engineering Beijing University of Technology Beijing 100022 China,Key Laboratory of Traffic Engineering Beijing University of Technology Beijing 100022 China
基金项目:国家自然科学基金;北京市自然科学基金
摘    要:Effective use of urban rapid railway systems requires that the railway systems be effectively con-nected with other transportation modes so that they are accessible. This paper uses the logit model and data to analyze the factors influencing railway access choices in a railway choice access model. The results indicate that access time, access cost, and access distance are factors significantly affecting railway access choices. The user’s income significantly affects the probability of choosing to walk rather than to take a taxi, but is not related to choosing buses or bicycles. Vehicle ownership significantly affects the probability of choosing a taxi, but is not significantly related to the other modes. The conclusions provide an analysis tool for urban railway planning and construction.

关 键 词:城市铁路  可达性  影响因素  选择行为调查  logit模型
收稿时间:24 October 2006
修稿时间:2006-10-24

Urban Railway Accessibility
Hongzhi Guan, &#x;¿ý, Yuanfei Yin, »࿜Þ, Hai Yan,  , Yan Han,  &#x;,Huanmei Qin, &#x;þ.Urban Railway Accessibility[J].Tsinghua Science and Technology,2007,12(2):192-197.
Authors:Hongzhi Guan  &#x;¿ý  Yuanfei Yin  »࿜Þ  Hai Yan     Yan Han   &#x;  Huanmei Qin  &#x;þ
Institution:Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100022, China
Abstract:Effective use of urban rapid railway systems requires that the railway systems be effectively con-nected with other transportation modes so that they are accessible. This paper uses the logit model and data to analyze the factors influencing railway access choices in a railway choice access model. The results indicate that access time, access cost, and access distance are factors significantly affecting railway access choices. The user's income significantly affects the probability of choosing to walk rather than to take a taxi, but is not related to choosing buses or bicycles. Vehicle ownership significantly affects the probability of choosing a taxi, but is not significantly related to the other modes. The conclusions provide an analysis tool for urban railway planning and construction.
Keywords:urban railway  railway access model  logit model
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