Ordinal Logistic Regression Modeling Research on Decreasing Perceived Metro Transfer Time

  • Xuesong FengEmail author
  • Weixin Hua
  • Xuejun Niu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 617)


This study newly develops two Ordinal Logistic Regression (OLR) models to explore effective ways to save Perceived Transfer Time (PTT) of metro passengers, in view of the difficulty of improving the infrastructure of a metro station. It is found that the PTT will be effectively decreased if the transfer walking congestion is released to be acceptable. Moreover, the congestion on the platform should be eliminated for reducing the PTT. In addition, decreasing the actual transfer waiting time to less than 5.00 min will evidently decrease the PTT. In future works, the effectiveness of the newly developed OLR models needs to be validated in a further and improved by applying them to study the PTT of metro passengers in different cities.


Perceived transfer time Perceived transfer waiting time Ordinal logistic regression Metro transfer 



This study is supported by National Natural Science Foundation of China [grant number 71571011] and the Fundamental Research Funds for the Central Universities [grant number 2018JBM022].


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.School of Traffic and TransportationBeijing Jiaotong UniversityBeijingChina
  2. 2.School of Transportation ManagementPeople’s Public Security University of ChinaBeijingPeople’s Republic of China

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