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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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:
Online Access:https://traffic.fpz.hr/index.php/PROMTT/article/view/3161
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spelling doaj-129529455b844c239bc067945c8196cf2020-11-25T02:03:00ZengUniversity of Zagreb, Faculty of Transport and Traffic SciencesPromet (Zagreb)0353-53201848-40692019-10-0131559360210.7307/ptt.v31i5.31613161Reducing Perceived Urban Rail Transfer Time with Ordinal Logistic RegressionsXuesong Feng0Weixin Hua1Xuepeng Qian2Beijing Jiaotong University, School of Traffic and Transportation, Beijing, P.R. ChinaBeijing Jiaotong University, School of Traffic and Transportation, Beijing, P.R. ChinaRitsumeikan Asia Pacific University, College of Asia Pacific Studies, Beppu, JapanIn 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 the difficulty of improving the transfer infrastructure. It is validated that the new OLR models are able to rationally explain probabilistically the correlations between PTT and its determinants. Moreover, the modelling analyses in this work have found that PTT will be effectively decreased if the severe transfer walking congestion is released to be acceptable. Furthermore, the congestion on the platform should be completely eliminated for the evident reduction of PTT. In addition, decreasing the actual transfer waiting time of the URT passengers to less than 5 minutes will obviously decrease PTT.https://traffic.fpz.hr/index.php/PROMTT/article/view/3161perceived transfer timeperceived transfer waiting timeordinal logistic regression modelurban rail transit service improvement
collection DOAJ
language English
format Article
sources DOAJ
author Xuesong Feng
Weixin Hua
Xuepeng Qian
spellingShingle Xuesong Feng
Weixin Hua
Xuepeng Qian
Reducing Perceived Urban Rail Transfer Time with Ordinal Logistic Regressions
Promet (Zagreb)
perceived transfer time
perceived transfer waiting time
ordinal logistic regression model
urban rail transit service improvement
author_facet Xuesong Feng
Weixin Hua
Xuepeng Qian
author_sort Xuesong Feng
title Reducing Perceived Urban Rail Transfer Time with Ordinal Logistic Regressions
title_short Reducing Perceived Urban Rail Transfer Time with Ordinal Logistic Regressions
title_full Reducing Perceived Urban Rail Transfer Time with Ordinal Logistic Regressions
title_fullStr Reducing Perceived Urban Rail Transfer Time with Ordinal Logistic Regressions
title_full_unstemmed Reducing Perceived Urban Rail Transfer Time with Ordinal Logistic Regressions
title_sort reducing perceived urban rail transfer time with ordinal logistic regressions
publisher University of Zagreb, Faculty of Transport and Traffic Sciences
series Promet (Zagreb)
issn 0353-5320
1848-4069
publishDate 2019-10-01
description 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 the difficulty of improving the transfer infrastructure. It is validated that the new OLR models are able to rationally explain probabilistically the correlations between PTT and its determinants. Moreover, the modelling analyses in this work have found that PTT will be effectively decreased if the severe transfer walking congestion is released to be acceptable. Furthermore, the congestion on the platform should be completely eliminated for the evident reduction of PTT. In addition, decreasing the actual transfer waiting time of the URT passengers to less than 5 minutes will obviously decrease PTT.
topic perceived transfer time
perceived transfer waiting time
ordinal logistic regression model
urban rail transit service improvement
url https://traffic.fpz.hr/index.php/PROMTT/article/view/3161
work_keys_str_mv AT xuesongfeng reducingperceivedurbanrailtransfertimewithordinallogisticregressions
AT weixinhua reducingperceivedurbanrailtransfertimewithordinallogisticregressions
AT xuepengqian reducingperceivedurbanrailtransfertimewithordinallogisticregressions
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