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Simulation on Staffs Evacuation Behavior in Plant Fire Emergencies

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  • Liu Jia
  • Chen Yun

Abstract

This paper focuses on the evacuation behavior of staffs in plant fire emergencies. It first conducts an experiment, which simulates the scenarios of a plant fire emergency. The experiment confirms that the risk preference and stress ability of a staff have a significant impact on its evacuation behavior in plant fire emergencies. Then, the paper employs the multi‐agent system simulation platform to study the different evacuation decisions made by different types of staff groups in a plant fire emergency. The groups are distinguished by different risk preferences and stress abilities proportions of staffs. Afterwards, it simulates the optimal evacuation situation. Finally, the paper proposes several suggestions on optimizing the evacuation decision‐making of plant staffs in plant fire emergencies. Copyright © 2014 John Wiley & Sons, Ltd.

Suggested Citation

  • Liu Jia & Chen Yun, 2014. "Simulation on Staffs Evacuation Behavior in Plant Fire Emergencies," Systems Research and Behavioral Science, Wiley Blackwell, vol. 31(4), pages 527-536, July.
    • Handle: RePEc:bla:srbeha:v:31:y:2014:i:4:p:527-536
    DOI: 10.1002/sres.2293
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    References listed on IDEAS

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    1. Dirk Helbing & Illés Farkas & Tamás Vicsek, 2000. "Simulating dynamical features of escape panic," Nature, Nature, vol. 407(6803), pages 487-490, September.
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    1. Jingyuan Li & Weile Liu & Fangwei Zhang & Taiyang Li & Rui Wang, 2022. "A Ship Fire Escape Speed Correction Method Considering the Influence of Crowd Interaction," Mathematics, MDPI, vol. 10(15), pages 1-14, August.

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