Empirical Research of Intercity High-speed Rail Passengers' Travel Behavior Based on Fuzzy Clustering Model

Author(s):  
Jian LIU ◽  
Ning ZHANG
2014 ◽  
Vol 641-642 ◽  
pp. 783-789
Author(s):  
Jin Liang Jiang ◽  
Hong Wei Zhu ◽  
Xiao Jia Wang

This paper aims to analyze how the introduction of high-speed rail (HSR) influences the market structure in the Beijing-Shanghai passenger corridor of China.First of all, through the analysis of travel behavior characteristics of this passenger corridor, the logit model is constructed to analyze the market share among the modes of high-speed rail (HSR), existing railway lines, air transportation and highway. Secondly, based on the survey data , the parameters of logit model are calibrated by using transcad software.Then the market share ratio for all transport modes of Beijing-Shanghai passenger corridor is calculated through the calibrated logit model. Finally, this paper makes some research on how the air transportation influences the new HSR in terms of market share. This paperprovides several scenarios of market share ratio of high-speed rail (HSR) and makes a comparison among thembased on the hypothesis that the market influence of the air transportation is improved by adopting efficient and effective measures.


CICTP 2020 ◽  
2020 ◽  
Author(s):  
Jing Shi ◽  
Qiyuan Peng ◽  
Ling Liu

2018 ◽  
Vol 8 (3) ◽  
pp. 515-530
Author(s):  
Massimo Zucchetti1,2 ◽  
◽  
Keyword(s):  

2019 ◽  
Author(s):  
Valentina Bracaglia ◽  
Tiziana D'Alfonso ◽  
Alberto Nastasi ◽  
Dian Sheng ◽  
Yulai Wan ◽  
...  

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