Journal of South China University of Technology(Natural Science Edition) ›› 2019, Vol. 47 ›› Issue (4): 61-66,75.doi: 10.12141/j.issn.1000-565X.180512

• Traffic & Transportation Engineering • Previous Articles     Next Articles

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

LIU Jianrong HAO Xiaoni   

  1.  School of Civil Engineering and Transportation，South China University of Technology，Guangzhou 510640，Guangdong，China
  • Received:2018-10-12 Revised:2018-11-20 Online:2019-04-25 Published:2019-03-01
  • Contact: 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． E-mail:ctjrliu@scut.edu.cn
  • About author: 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．
  • Supported by:
      Supported by the National Natural Science Foundation of China(51578247)

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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．

Key words: congestion degree, travel choice behavior, travel comfort, random parameters Logit model

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