Metro passengers' route choice model and its application considering perceived transfer threshold
With the rapid development of the Metro network in China, the greatly increased route alternatives make passengers' route choice behavior and passenger flow assignment more complicated, which presents challenges to the operation management. In this paper, a path sized logit model is adopted to...
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| Veröffentlicht in: | PloS one 2017-09, Vol.12 (9), p.e0185349-e0185349 |
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| description | With the rapid development of the Metro network in China, the greatly increased route alternatives make passengers' route choice behavior and passenger flow assignment more complicated, which presents challenges to the operation management. In this paper, a path sized logit model is adopted to analyze passengers' route choice preferences considering such parameters as in-vehicle time, number of transfers, and transfer time. Moreover, the "perceived transfer threshold" is defined and included in the utility function to reflect the penalty difference caused by transfer time on passengers' perceived utility under various numbers of transfers. Next, based on the revealed preference data collected in the Guangzhou Metro, the proposed model is calibrated. The appropriate perceived transfer threshold value and the route choice preferences are analyzed. Finally, the model is applied to a personalized route planning case to demonstrate the engineering practicability of route choice behavior analysis. The results show that the introduction of the perceived transfer threshold is helpful to improve the model's explanatory abilities. In addition, personalized route planning based on route choice preferences can meet passengers' diversified travel demands. |
| doi_str_mv | 10.1371/journal.pone.0185349 |
| format | Article |
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In this paper, a path sized logit model is adopted to analyze passengers' route choice preferences considering such parameters as in-vehicle time, number of transfers, and transfer time. Moreover, the "perceived transfer threshold" is defined and included in the utility function to reflect the penalty difference caused by transfer time on passengers' perceived utility under various numbers of transfers. Next, based on the revealed preference data collected in the Guangzhou Metro, the proposed model is calibrated. The appropriate perceived transfer threshold value and the route choice preferences are analyzed. Finally, the model is applied to a personalized route planning case to demonstrate the engineering practicability of route choice behavior analysis. The results show that the introduction of the perceived transfer threshold is helpful to improve the model's explanatory abilities. In addition, personalized route planning based on route choice preferences can meet passengers' diversified travel demands.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0185349</identifier><identifier>PMID: 28957376</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Algorithms ; Behavior ; Biology and Life Sciences ; China ; Choice Behavior ; City traffic ; Computer and Information Sciences ; Data processing ; Demographics ; Economic models ; Engineering and Technology ; Humans ; Laboratories ; Methods ; Models, Theoretical ; Passengers ; Perception ; Physical Sciences ; Planning ; Preferences ; Research and Analysis Methods ; Route choice ; Route planning ; Route selection ; Social Sciences ; Statistics as Topic ; Studies ; Subways ; Surveys and Questionnaires ; System theory ; Time Factors ; Traffic congestion ; Transportation ; Travel ; Variables</subject><ispartof>PloS one, 2017-09, Vol.12 (9), p.e0185349-e0185349</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Jin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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In this paper, a path sized logit model is adopted to analyze passengers' route choice preferences considering such parameters as in-vehicle time, number of transfers, and transfer time. Moreover, the "perceived transfer threshold" is defined and included in the utility function to reflect the penalty difference caused by transfer time on passengers' perceived utility under various numbers of transfers. Next, based on the revealed preference data collected in the Guangzhou Metro, the proposed model is calibrated. The appropriate perceived transfer threshold value and the route choice preferences are analyzed. Finally, the model is applied to a personalized route planning case to demonstrate the engineering practicability of route choice behavior analysis. The results show that the introduction of the perceived transfer threshold is helpful to improve the model's explanatory abilities. 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One</addtitle><date>2017-09-28</date><risdate>2017</risdate><volume>12</volume><issue>9</issue><spage>e0185349</spage><epage>e0185349</epage><pages>e0185349-e0185349</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>With the rapid development of the Metro network in China, the greatly increased route alternatives make passengers' route choice behavior and passenger flow assignment more complicated, which presents challenges to the operation management. In this paper, a path sized logit model is adopted to analyze passengers' route choice preferences considering such parameters as in-vehicle time, number of transfers, and transfer time. Moreover, the "perceived transfer threshold" is defined and included in the utility function to reflect the penalty difference caused by transfer time on passengers' perceived utility under various numbers of transfers. Next, based on the revealed preference data collected in the Guangzhou Metro, the proposed model is calibrated. The appropriate perceived transfer threshold value and the route choice preferences are analyzed. Finally, the model is applied to a personalized route planning case to demonstrate the engineering practicability of route choice behavior analysis. The results show that the introduction of the perceived transfer threshold is helpful to improve the model's explanatory abilities. In addition, personalized route planning based on route choice preferences can meet passengers' diversified travel demands.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28957376</pmid><doi>10.1371/journal.pone.0185349</doi><tpages>e0185349</tpages><orcidid>https://orcid.org/0000-0002-6943-9156</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Algorithms Behavior Biology and Life Sciences China Choice Behavior City traffic Computer and Information Sciences Data processing Demographics Economic models Engineering and Technology Humans Laboratories Methods Models, Theoretical Passengers Perception Physical Sciences Planning Preferences Research and Analysis Methods Route choice Route planning Route selection Social Sciences Statistics as Topic Studies Subways Surveys and Questionnaires System theory Time Factors Traffic congestion Transportation Travel Variables |
| title | Metro passengers' route choice model and its application considering perceived transfer threshold |
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