Cellular automata model for emergency evacuation considering panic factor

doi:10.16265/j.cnki.issn1003-3033.2022.04.022

Abstract

Abstract:

In order to clarify influence of panic on evacuation process, contagion of panic emotion in evacuation crowd was simulated by using a method that combined cellular automata evacuation model and emotional contagion model based on thermodynamics. With consideration given to the individual difference of evacuees and dangerous environment, evacuation process of crowd in different environment was simulated by quantifying panic emotion values and integrating them into evacuation decision of pedestrians. The results show that panic emotion mainly affects pedestrians near dangerous area and its influence scope will expand along with its contagion, thus decreasing overall evacuation efficiency. Compared with the model which doesn't consider panic factor, for the proposed model, panic will prolong evacuation time in the case of low initial population density, but when the density increases to a certain extent, evacuation time will no longer be prolonged while more people will be trapped. Increasing diffusion speed of risk areas will speed up spread of panic, causing earlier occurrence of large-scale panic crowd.

Key words: panic emotion, cellular automata, emergency evacuation, emotional contagion, evacuation model

FENG Sihai, WANG Zhijie, DENG Jie, XIN Yaojiao, HE Yuanhua. Cellular automata model for emergency evacuation considering panic factor[J]. China Safety Science Journal, 2022, 32(4): 148-154.

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人格特质	恐慌情绪表达力α	恐慌情绪接受力β	方差σ
激励型	0.9	0.8	0.05
同情型	0.3	0.8	0.05
率真型	0.7	0.2	0.05
冷漠型	0.3	0.2	0.05

心理状态	P
平静状态	0
适度紧张状态	(0~0.7)
恐慌混乱状态	≥0.7

个体参数	含义
β_i	个体i对他人恐慌情绪的接受力
α_j	个体j向他人传递恐慌情绪的表达力
η_ij	接受个体i与传递个体j之间的信道强度