Model considering panic emotion and personality traits for crowd evacuation

作     者：孙华锴 陈长坤 Hua-Kai Sun;Chang-Kun Chen

作者机构：Institute of Disaster Prevention Science and Safety TechnologyCentral South UniversityChangsha 410075China 

出 版 物：《Chinese Physics B》 (中国物理B（英文版）)

年 卷 期：2023年第32卷第5期

页      面：321-336页

核心收录：

学科分类：03[法学] 08[工学] 0837[工学-安全科学与工程] 0838[工学-公安技术] 0306[法学-公安学] 

基　　金：the National Natural Science Foundation of China (Grant Nos. 71790613 and 72091512) the Science and Technology Innovation Program of Hunan Province, China (Grant No. 2020SK2004) 

主　　题：panic emotion CA-SIS model crowd evacuation personality trait 

摘      要：Panic is a common emotion when pedestrians are in danger during the actual evacuation, which can affect pedestrians a lot and may lead to fatalities as people are crushed or trampled. However, the systematic studies and quantitative analysis of evacuation panic, such as panic behaviors, panic evolution, and the stress responses of pedestrians with different personality traits to panic emotion are still rare. Here, combined with the theories of OCEAN(openness, conscientiousness,extroversion, agreeableness, neuroticism) model and SIS(susceptible, infected, susceptible) model, an extended cellular automata model is established by the floor field method in order to investigate the dynamics of panic emotion in the crowd and dynamics of pedestrians affected by emotion. In the model, pedestrians are divided into stable pedestrians and sensitive pedestrians according to their different personality traits in response to emotion, and their emotional state can be normal or panic. Besides, emotion contagion, emotion decay, and the influence of emotion on pedestrian movement decision-making are also considered. The simulation results show that evacuation efficiency will be reduced, for panic pedestrians may act maladaptive behaviors, thereby making the crowd more chaotic. The results further suggest that improving pedestrian psychological ability and raising the standard of management can effectively increase evacuation efficiency. And it is necessary to reduce the panic level of group as soon as possible at the beginning of evacuation. We hope this research could provide a new method to analyze crowd evacuation in panic situations.