Analysis of Subway Station Distribution Capacity Based on Automatic Fare Collection Data of Nanjing Metro
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 146, Issue 2
Abstract
To realize an early warning system for crowded subway passenger flow, a new calculation method of subway station distribution capacity (SSDC) in real time is proposed. First, a new concept of SSDC is defined according to the gathering and scattering process. Based on automatic fare collection (AFC) data and passenger walking time at key facilities, a real-time calculation model of SSDC has been created. Second, passenger travel characteristics are analyzed by examining two aspects: spatial distribution expressed by cross-section passenger flow and temporal distribution presented by inbound passenger flow each hour. Then, a case study of Zhujianglu Station on Nanjing Metro Line 1 shows the calculation process and verifies the validity of this method. The verification process includes two comparisons: one is to compare the SSDC and station service capacity to obtain possible crowded passenger flow, and the other is to compare the possible crowded passenger flow and the crowded data provided by Nanjing Metro. The same method could be suitable for other metro companies equipped with AFC systems.
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Acknowledgments
This research is supported by National Key Research and Development Program of China (No. 2016YFE0206800). The authors confirm contribution to the papers as follows: study conception and design: Lu and Xu; data collection: Lu and Ren; analysis and interpretation of results: Lu, Ren and Xu; draft manuscript preparation: Lu. All authors reviewed the results and approved the revised version of the manuscript.
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Published In
Journal of Transportation Engineering, Part A: Systems
Volume 146 • Issue 2 • February 2020
Copyright
©2019 American Society of Civil Engineers.
History
Received: Oct 31, 2018
Accepted: Jul 8, 2019
Published online: Dec 4, 2019
Published in print: Feb 1, 2020
Discussion open until: May 4, 2020
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