Research on a subway fire evacuation model based on system dynamics

Xiaofei Lin, Shan Chen, Baojing Ji, Haiyan Fan, Ziwei Pan and Huaiyuan Zhai ()
Additional contact information
Xiaofei Lin: Anhui University of Technology
Shan Chen: Wuhan University of Technology
Baojing Ji: Jining University
Haiyan Fan: Zaozhuang Vocational College of Science and Technology
Ziwei Pan: Ma’anshan University
Huaiyuan Zhai: Beijing Jiaotong University

International Journal of System Assurance Engineering and Management, 2024, vol. 15, issue 11, No 9, 5196-5205

Abstract: Abstract Metro stations are mostly located below ground, connected to the outside would through limited channels; the environment is relatively closed. In the event of fire and other emergencies, the evacuation of people from the station is relatively difficult, and evacuation safety judgment and evacuation method still need further research. In order to study the influencing factors of passenger evacuation in the event of an emergency at a subway station and improve evacuation efficiency, a subway passenger fire evacuation model was constructed and simulated according to the variable relationship and response model of subway passenger fire stress response. Based on the system dynamics method, the subway passenger fire stress response model was constructed to simulate the stress response process. This study shows that after 2 min, with the increase of the proportion of passengers responding to problems, the level of passengers' stress response gradually increased. Evacuation efficiency directly affects evacuation time, and the ability to deal with the problem also directly affects the level of stress response, thereby affecting evacuation efficiency. The research results provide a scientific basis for optimizing emergency evacuation plans and strategies, enhancing passenger safety awareness and emergency capabilities, and ensuring the safe operation of the subway.

Keywords: Subway fire evacuation; System dynamics; Stress response; Evacuation efficiency (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s13198-024-02513-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:15:y:2024:i:11:d:10.1007_s13198-024-02513-6

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-024-02513-6

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().