突发事件下的封闭空间情绪传播模型研究
Research on emotion propagation model in closed space under emergency
方丹辉 1林国梁 1朱敏2
作者信息
- 1. 武汉理工大学 安全科学与应急管理学院,湖北 武汉 430070;武汉理工大学 中国应急管理研究中心,湖北 武汉 430070
- 2. 武汉理工大学 艺术与设计学院,湖北 武汉 430070
- 折叠
摘要
为避免突发事件中复杂情绪在封闭空间内无序发酵引发衍生灾害,探索封闭空间的情绪传播规律,基于情绪自发传播模型SISa,考虑封闭空间个体情绪的差异性、群体极化现象、特殊情绪交互方式以及危急情景下的动态感染率,分别改进主体情绪状态、情绪转移路径、交互模式与感染率,提出1 种适用于封闭空间的情绪传播模型SE4 Sa,并以武汉地铁2 号线为例完成数值仿真与敏感性分析.研究结果表明:情绪自发转移过程对限制负面情绪累积起到关键作用,且情绪极化现象使系统危险性大幅增长;缩减个体情绪感知域使系统稳定时间缩短90.6%、高唤醒负面情绪占比下降 27.4%;突发事件下的动态感染率更符合封闭空间情绪传播特性.研究结果可为突发事件下封闭空间的群体行为和群体情绪规律研究提供理论支持.
Abstract
In order to avoid the derivative disasters caused by disorderly fermentation of complex emotion in the closed space under emergency,and explore the laws of emotion propagation in closed space,the subject emotional state,emotion transfer path,interaction mode and infection rate were improved respectively considering the difference of individual emotion,group polarization phenomenon,special emotional interaction mode and dynamic infection rate under emergency scenario in the closed space,then an emotion propagation model SE4 Sa suitable for closed space was proposed based on the spontaneous emo-tion propagation model SISa,and the numerical simulation and sensitivity analysis were completed by taking Wuhan Metro Line 2 as an example.The results show that the spontaneous emotion transfer process plays a key role in limiting the accumu-lation of negative emotion,and the emotion polarization phenomenon makes the system risk increase greatly.Narrowing the do-main of individual emotion perception shorten the system stability time by 90.6%and reduce the proportion of high-arousal negative emotion by 27.4%.The dynamic infection rate under emergency is more in line with the characteristics of emotion propagation in closed space.The research results can provide theoretical support for the study of group behavior and group emotion laws in closed space under emergencies.
关键词
突发事件/封闭空间/情绪传播模型/极化现象/情绪交互方式/动态感染率Key words
emergency/closed space/emotion propagation model/polarization phenomenon/emotional interaction/dynam-ic infection rate引用本文复制引用
出版年
2024
NETL
NSTL
万方数据