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Research Article |

Research on Monitoring and Pre-Warning Analysis of Subway Stampede Accident

In order to prevent the subway stampede accident, the basic characteristics of subway stampede accident were analyzed, the evolution process of subway stampede accident was summarized, and the key factor leading to subway stampede accident was determined to be crowd density, and the importance of building subway stampede accident Pre-warning system was clarified. By combing and constructing the linkage mechanism of subway stampede accident alarm, as the basic framework, a new subway stampede accident Pre-warning system is proposed and developed, which includes crowd density monitoring system, emergency evacuation system and broadcast information system. Through the crowd density monitoring system, the risk value of crowd crowding in the subway station can be quantified, and the Pre-warning information of subway stampede can be sent. The emergency evacuation system and the broadcast information system can quickly respond to evacuate the crowd, reduce the risk, and realize the control of the risk of subway stampede, which can effectively prevent the subway stampede.

Subway Stampede Accidents, Pre-Warning Systen, Crowd Density

APA Style

Qiquan, W., Jun, L., Wangjie, L., Hao, W. (2023). Research on Monitoring and Pre-Warning Analysis of Subway Stampede Accident. Advances in Applied Sciences, 8(4), 147-150.

ACS Style

Qiquan, W.; Jun, L.; Wangjie, L.; Hao, W. Research on Monitoring and Pre-Warning Analysis of Subway Stampede Accident. Adv. Appl. Sci. 2023, 8(4), 147-150. doi: 10.11648/j.aas.20230804.15

AMA Style

Qiquan W, Jun L, Wangjie L, Hao W. Research on Monitoring and Pre-Warning Analysis of Subway Stampede Accident. Adv Appl Sci. 2023;8(4):147-150. doi: 10.11648/j.aas.20230804.15

Copyright © 2023 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

1. PAN Ke, WANG Hongde, SHI Jianyun. Application of Multi Level Extensible Method to Urban Subway Operation Safety Evaluation [J]. Journal of The China Rail Way Society, 2011, 33 (05): 14-19.
2. LIU Yu, JI Hongbo, ZHANG Gexue. Establishment of emergency plan system for urban rail transit operating enterprises [J]. Urban Mass Transit, 2019, 22 (9): 10-13, 20.
3. GU Zongchao, LU We, OSARAGI, et al. Study on spatio-temporal behavior in underground pedestrian system based on choice level theory [J]. Chinese Journal of Underground Space and Engineering, 2022, 18 (S1): 1-13.
4. SUN Guilei, WANG Yaqi, ZHAO Xinyuan, et al. Research on evacuation risk quantization and classification for subway passengers based on Pathfinder [J]. China Safety Science Journal, 2018, 28 (11): 176-181.
5. SUN Lishan, IA Lin, WEI Zhonghua, LI Junfeng. Demand Forecasting of Taxi Travel Based on GPS Data [J]. Journal of Transport Information and Safety, 2021, 39 (05): 128-136.
6. WANG Qiquan, YANG Xingang, LAN Jun, et al. Emergency management strategy of subway stampede accident based on muli-stream theory [J]. China Safety Science Journal, 2023 33 (11).
7. MIAO Xiaojuan. Study on the Evaluation of Metro-hub Based on the Dynamic Simulation of Passenger Volume [D]. Beijing: Beijing Jiaotong University, 2008.
8. MA Zhuanglin, YANG Xing, HU Dawei, TAN Xiaowei. Influence degree analysis of ridership characteristics at urban rail transit stations [J]. J Tsinghua Univ (Sci & Technol), 2023, 63 (09): 1428-1439.
9. WANG Yaqi. Research on intelligent early-warning of crowded stampede accidents vulnerable areas in subway [J]. China Safety Science Journal, 2018, 33(11): 162-167.
10. ZHANG Yibo. Research On Emergency Management of Subway Crowded and Stampeded [D]. Beijing: China University of Labor Relations, 2019.
11. PAN Fuquan, PAN Haitao, QI Rongjie, et al. A study of risk level and early warning standard of dense metro crowds [J]. Technology & Economy in Areas of Communications, 2019, 21 (5): 6-11, 19.
12. LIU Jiachen, CHEN Chuyue, WANG Mengmeng. Study of Train Control System for Fully Automated Metro [J]. Smart Rail Transit, 2022, 59 (01): 20-27.
13. ZHAO Zixuan, LIU Kang, ZHANG Yuanhui. Design of digital-twin-based monitoring system for indoor pedestrian [J]. Modern Electronics Technique, 2023, 46 (16): 9-14.
14. CHEN Xinnan, LIU Xin. Design of subway station area underground space energy-saving systembased on optimized ant colony algorithm [J]. Modern Electronics Technique, 2021, 44 (21): 175-179.
15. LU Wengang, TAN Zhe. Prevention and response to crowd crush and stampede in city public places: a case study of the stampede accident in South Korea [J]. China Emergency Rescue, 2023 (1): 4-10.