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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University of Zagreb, Faculty of Transport and Traffic Sciences
2019-10-01
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Online Access: | https://traffic.fpz.hr/index.php/PROMTT/article/view/3161 |
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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 |
_version_ |
1724950046952128512 |