scholarly journals An Emergency Evacuation Behavior Simulation Method Combines Personality Traits and Emotion Contagion

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 66693-66706 ◽  
Author(s):  
Rui Zhou ◽  
Yi Ou ◽  
Weichao Tang ◽  
Qian Wang ◽  
Bao Yu
2013 ◽  
Vol 444-445 ◽  
pp. 1564-1568
Author(s):  
Rong Xue Shang ◽  
Pei Hong Zhang ◽  
Shu Jiao Tong ◽  
Yin Liang Guo

The field investigation of the human evacuation behavior of young people under time pressure in campus is conducted in Northeastern University of Shenyang. Based on the analysis of the observation of human evacuation behavior characteristics, scenarios of human evacuation in academic building under different evacuation management strategy are simulated and compared by FDS+Evac. The analysis results show that the crowd flow coefficient will be increasing under time pressure. The congestion of the crowd in academic building can be alleviated effectively on the base of batches evacuation management. The Real Safety Evacuation Time (RSET) can be reduced if the layout of exits is designed felicitously. Therefore, emergency drill such as fire drill is suggested to proceed periodically and regularly so that human can have opportunity to experience emergent and hazard surroundings to improve their ability of evacuation in emergency.


2021 ◽  
Vol 13 (22) ◽  
pp. 12540
Author(s):  
Heng Wang ◽  
Zehao Jiang ◽  
Tiandong Xu ◽  
Feng Li

Subway station emergencies are gradually increasing in China. The aim of this research is to study the effects of “Dist”, “Pedestrian flow” and “Crowd density” on the heterogeneity of passengers’ decision-making preference and explore the relationship between heterogeneity and personality. Firstly, a questionnaire of 20 emergency evacuation scenarios, that includes the Eysenck Personality Questionnaire, is designed. Secondly, the heterogeneity of passengers’ decision preference is quantified by the random parameter logit model. Finally, personality traits and influencing factors are used as abscissa and ordinate respectively, to study the relationship between personality traits and preference heterogeneity. The results show that the coefficients of “Dist”, “Pedestrian flow” and “Crowd density” are –0.101, 0.236 and –0.442 respectively, which are statistically significant. The proportion of extroverted passengers of the exit is 9% higher than that of introverted passengers when “Pedestrian flow” of the exit is greater than the average value, while the proportion of introverted passengers is 7% higher than that of extroverted passengers when “Crowd density” is smaller than the average value. The conclusion is that the three influence factors are random variables, and “Dist” shows the lowest level of heterogeneity. Extroverted passengers are more likely to follow a large crowd for evacuation, but introverted passengers are more likely to avoid crowded exits.


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