Based on AFC Data Calculation of Walking Time in Metro Stations Considering the Impact of Passenger Flows

Liang Zou, Suiying Hu and Lingxiang Zhu ()
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Liang Zou: College of Civil and Traffic Engineering, Shenzhen University, Shenzhen 518060, China
Suiying Hu: College of Civil and Traffic Engineering, Shenzhen University, Shenzhen 518060, China
Lingxiang Zhu: College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China

Sustainability, 2023, vol. 15, issue 8, 1-14

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.

Keywords: metro; walking time; travel time chains; passenger flow threshold; accuracy; validity (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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