Experimental Study for Optimizing Pedestrian Flows at Bottlenecks of Subway Stations

  • Wei Luo Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology
  • Lishan Sun Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology
  • Liya Yao School of Mechanical and Vehicular Engineering, Beijing Institute of Technology
  • Qingsheng Gong Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology
  • Jian Rong Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology
DOI: https://doi.org/10.7307/ptt.v30i5.2715
Keywords: subway station, bottleneck, optimization measure, pedestrian characteristic, pedestrian experiment

Abstract

In subway stations, bottlenecks are the narrowed areas that reduce pedestrian flows in channels. Because pedestrians at bottlenecks are forced to dense together, bottlenecks decrease flow efficiency and pedestrians’ transfer comfort and may trigger serious crowd disasters such as trampling. This study used pedestrian experiments to investigate the methods of optimizing pedestrian traffic at bottlenecks of subway stations. Three optimization measures were proposed and evaluated by analyzing the characteristics of pedestrian flows, including efficiency, smoothness, and security. In this paper, setting the rear sides of the bottleneck entrance as straight and surface funnel shapes is called straight funnel shape and surface funnel shape, respectively. Setting a column at a bottleneck is called the column obstacle. The results showed that when efficiency or security come first, a column on the left is recommended; when comfort comes first, a concave funnel is recommended; when comprehensiveness is prioritized, a column on the left is recommended. Moreover, the larger the volume, the optimization is more obvious. Although many  bottlenecks cannot be prevented when subway stations are constructed, the proposed optimization measures may help ease their adverse effects by improving facility efficiency, smoothness, and security, and by providing recommendations for designing and managing subway stations.

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Wei Luo, Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology
Wei Luo is a Ph. D student of Beijing Key Laboratory of Traffic Engineering at Beijing University of Technology.Gong mainly engaged in the research of pedestrian behavior mechanism and subway hub layout design.
Lishan Sun, Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology
Lishan Sun is a Professor of Beijing Key Laboratory of Traffic Engineering at Beijing University of Technology. His research interests cover pedestrian behavior mechanism and subway hub layout design.
Liya Yao, School of Mechanical and Vehicular Engineering, Beijing Institute of Technology
Liya Yao is an Associate Professor of School of Mechanical and Vehicular Engineering Beijing Institute of Technology.Gong mainly engaged in the research of pedestrian behavior mechanism and subway hub layout design.
Qingsheng Gong, Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology
Qingsheng Gong is a graduate student of Beijing Key Laboratory of Traffic Engineering at Beijing University of Technology, and mainly engaged in the research of pedestrian behavior mechanism and subway hub layout design.
Jian Rong, Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology
Jian Rong is a Professor of Beijing Key Laboratory of Traffic Engineering at Beijing University of Technology.

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Published
2018-10-31
How to Cite
1.
Luo W, Sun L, Yao L, Gong Q, Rong J. Experimental Study for Optimizing Pedestrian Flows at Bottlenecks of Subway Stations. Promet [Internet]. 2018Oct.31 [cited 2024Dec.26];30(5):525-38. Available from: http://traffic.fpz.hr/index.php/PROMTT/article/view/2715
Issue
Vol 30 No 5 (2018)
Section
Articles

Copyright (c) 2018 Wei Luo, Lishan Sun, Liya Yao, Qingsheng Gong, Jian Rong

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