Based on AFC Data Calculation of Walking Time in Metro Stations Considering the Impact of Passenger Flows
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Published:2023-04-14
Issue:8
Volume:15
Page:6660
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ISSN:2071-1050
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Container-title:Sustainability
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language:en
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Short-container-title:Sustainability
Author:
Zou Liang1ORCID,
Hu Suiying1,
Zhu Lingxiang2
Affiliation:
1. College of Civil and Traffic Engineering, Shenzhen University, Shenzhen 518060, China
2. College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China
Abstract
The walking time in metro stations is influenced by passenger flow with large fluctuation. Therefore, this paper proposes a method of station walking time calculation considering the influence of passenger flow: firstly, the time, entry, and exit direction and volume distribution characteristics of station passenger flow are analyzed, and the threshold of passenger flow that affects walking time is defined; then, an entry and exit walking time calculation model is established by five independent travel time chains and three station walking time constraints, and the transfer walking time is calculated based on the entry and exit walking time results; finally, the accuracy and validity of the walking time projection model are verified by using the calculation results. The results show that the calculation results are accurate and the validity of the model reaches 91.5%, and the constraint effect on walking time at station time is most obvious when the passenger flow reaches 3000 passengers per 30 min.
Funder
Open Research Fund Program of Guangdong Key Laboratory of Urban Informatics
Shenzhen University Liyuan Challenge Panfeng Project
Shenzhen Municipal Science and Technology Innovation Committee
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction
Reference26 articles.
1. (2023, April 09). Annual Statistics and Analysis Report of Urban Rail Transit in 2021. Available online: https://www.camet.org.cn/xhfb/9935.
2. Research on the travel time law of passengers in urban rail passage;Du;J. Transp. Syst. Eng. Inf. Technol.,2009
3. Zhao, Y. (2011). Research on Urban Rail Transit Transfer Considering Service Level. [Master’s Thesis, Beijing Jiaotong University].
4. Time prediction model of subway transfer;Zhou;SpringerPlus,2016
5. Rail transit travel time reliability and estimation of passenger route choice behavior: Analysis using automatic fare collection data;Sun;Transp. Res. Rec.,2012