Reducing Perceived Urban Rail Transfer Time with Ordinal Logistic Regressions

Reducing Perceived Urban Rail Transfer Time with Ordinal Logistic Regressions

In order to improve the transfers inside an Urban Rail Transit (URT) station between different rail transit lines, this research newly develops two Ordinal Logistic Regression (OLR) models to explore effective ways for saving the Perceived Transfer Time (PTT) of URT passengers, taking into account t...

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Bibliographic Details
Main Authors: Xuesong Feng, Weixin Hua, Xuepeng Qian
Format: Article
Language:English
Published: University of Zagreb, Faculty of Transport and Traffic Sciences 2019-10-01
Series:Promet (Zagreb)
Subjects:
perceived transfer time
perceived transfer waiting time
ordinal logistic regression model
urban rail transit service improvement
Online Access:https://traffic.fpz.hr/index.php/PROMTT/article/view/3161

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