Traffic & Transportation Engineering

Evaluation of the Metro's In-vehicle Congestion Parameters Based on Random Parameters Logit Model

  • LIU Jianrong HAO Xiaoni
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  •  School of Civil Engineering and Transportation,South China University of Technology,Guangzhou 510640,Guangdong,China
刘建荣(1984-),男,博士,讲师,主要从事出行行为选择、公交服务质量等研究.

Received date: 2018-10-12

  Revised date: 2018-11-20

  Online published: 2019-03-01

Supported by

  Supported by the National Natural Science Foundation of China(51578247)

Abstract

There is significant heterogeneity among travelers'evaluation on in-vehicle congestion. The impact of in- vehicle congestion was studied with the random parameters Logit model. In view of the impact of the latent psycho- logical factor on travelers'mode choice,travelers'demand of comfort was taken into account . The results show that the random parameters Logit model fit the data much better than the traditional discrete choice model. From the re- sult,it can be concluded that,the parameters of price and in-vehicle time are non-random. However,the parame- ter of in-vehicle congestion is random,and it is affected by travelers'demand of comfort when traveling and in-vehi- cle time. The impact of in-vehicle congestion increases as travelers' demand of comfort increases,and decreases when in-vehicle time increases.

Cite this article

LIU Jianrong HAO Xiaoni . Evaluation of the Metro's In-vehicle Congestion Parameters Based on Random Parameters Logit Model[J]. Journal of South China University of Technology(Natural Science), 2019 , 47(4) : 61 -66,75 . DOI: 10.12141/j.issn.1000-565X.180512

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