Chapter
Jul 2, 2019
Analysis Method for Passenger Flow Characteristics of Urban Rail Transit under Emergent Events Based on AFC Data
Authors: Chen Li [email protected], Yanyan Chen [email protected], Bo Wang, Yunyun Bai, and Jianling HuangAuthor Affiliations
Publication: CICTP 2019
Abstract
Emergencies on urban rail transit (URT) rely on understanding passenger flow. It is necessary to study the characteristics of passenger flow and determine the scope of the emergency in a timely and reasonable fashion. This paper uses an impact analysis method of passenger volume under emergent condition of URT using automated fare collection (AFC) data. Based on the method, the affected scope is determined, and the analysis methods of the characteristics of passenger flow within emergent impact scope can be proposed. Lastly, combining with AFC data of Beijing URT, this paper analyzes spatial and temporal distribution characteristics, change characteristics of passenger volume at key stations and the number of stations affected by the emergent event, and summarizes passenger flow change rule under emergent condition. This quantitative analysis method has universal applicability in providing support for distribution of passenger flow, predicting passenger flow, and early warning of URT emergency.
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© 2019 American Society of Civil Engineers.
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Published online: Jul 2, 2019
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Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing 100124, China. E-mail: [email protected]
Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing 100124, China. E-mail: [email protected]
Bo Wang
Beijing Transportation Information Center, Beijing 100073, China.
Yunyun Bai
Beijing Transportation Information Center, Beijing 100073, China.
Jianling Huang
Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing 100124, China; Beijing Transportation Information Center, Beijing 100073, China.
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