Research Article | | Peer-Reviewed

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

Received: 27 November 2023    Accepted: 13 December 2023    Published: 22 December 2023
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Abstract

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.

Published in Advances in Applied Sciences (Volume 8, Issue 4)
DOI 10.11648/j.aas.20230804.15
Page(s) 147-150
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Subway Stampede Accidents, Pre-Warning Systen, Crowd Density

References
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[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.
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Cite This Article
  • 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. https://doi.org/10.11648/j.aas.20230804.15

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    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

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    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

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  • @article{10.11648/j.aas.20230804.15,
      author = {Wang Qiquan and Lan Jun and Li Wangjie and Wu Hao},
      title = {Research on Monitoring and Pre-Warning Analysis of Subway Stampede Accident},
      journal = {Advances in Applied Sciences},
      volume = {8},
      number = {4},
      pages = {147-150},
      doi = {10.11648/j.aas.20230804.15},
      url = {https://doi.org/10.11648/j.aas.20230804.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aas.20230804.15},
      abstract = {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.
    },
     year = {2023}
    }
    

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  • TY  - JOUR
    T1  - Research on Monitoring and Pre-Warning Analysis of Subway Stampede Accident
    AU  - Wang Qiquan
    AU  - Lan Jun
    AU  - Li Wangjie
    AU  - Wu Hao
    Y1  - 2023/12/22
    PY  - 2023
    N1  - https://doi.org/10.11648/j.aas.20230804.15
    DO  - 10.11648/j.aas.20230804.15
    T2  - Advances in Applied Sciences
    JF  - Advances in Applied Sciences
    JO  - Advances in Applied Sciences
    SP  - 147
    EP  - 150
    PB  - Science Publishing Group
    SN  - 2575-1514
    UR  - https://doi.org/10.11648/j.aas.20230804.15
    AB  - 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.
    
    VL  - 8
    IS  - 4
    ER  - 

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Author Information
  • Department of Safety Engineering, China University of Labor Relations, Beijing, China

  • Department of Safety Engineering, China University of Labor Relations, Beijing, China

  • Department of Safety Engineering, China University of Labor Relations, Beijing, China

  • Department of Safety Engineering, China University of Labor Relations, Beijing, China

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