Dynamics of Crowd Panic Emotional Diffusion in Enclosed Space Fire Scenarios Based on an Improved SIR Model

DOI

10.2991/978-94-6463-845-5_108How to use a DOI?

Keywords

Spatial Distance; Dynamic Recovery; Emotion Dissemination Dynamics; Multi-Agent Intervention

Abstract

This paper investigates the dynamics of crowd panic transmission in enclosed spaces during fire scenarios and explores the effectiveness of different intervention strategies. Based on the traditional SIR (susceptible infected recovered model) model, an improved SIR model was constructed by introducing the average distance of the space crowd and the dynamic recovery rate, combined with the multi-agent influencing factors of management intervention, customer self-intervention and pedestrian assisted intervention, and the simulation was carried out. The results show that when the average distance between people in the space increases, the infection rate of panic decreases exponentially. The synergistic effect of multi-agent intervention is conducive to reducing the ability of panic contagion. The dynamic change of crowd distance and the lag of managers’ intervention response will reduce the recovery effect of crowd panic to a certain extent. The results of this study can provide a reference for emergency rescue managers to control crowd emotions in fire scenarios.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Chenxi Xiao
AU  - Shilong Xia
AU  - Yufeng Liu
AU  - Danhui Fang
PY  - 2025
DA  - 2025/09/16
TI  - Dynamics of Crowd Panic Emotional Diffusion in Enclosed Space Fire Scenarios Based on an Improved SIR Model
BT  - Proceedings of the 2025 6th International Conference on Management Science and Engineering Management (ICMSEM 2025)
PB  - Atlantis Press
SP  - 1098
EP  - 1110
SN  - 2667-1271
UR  - https://doi.org/10.2991/978-94-6463-845-5_108
DO  - 10.2991/978-94-6463-845-5_108
ID  - Xiao2025
ER  -