A Novel Emergency Evacuation Model of Subway Station Passengers Considering Personality Traits

Heng Wang, Tiandong Xu and Feng Li
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Heng Wang: The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai 200092, China
Tiandong Xu: College of Design, Construction and Planning, University of Florida, Gainesville, FL 32611, USA
Feng Li: The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai 200092, China

Sustainability, 2021, vol. 13, issue 18, 1-15

Abstract: Subway station emergencies have caused serious casualties in recent years, so the aim of this research was to develop and establish an evacuation model that considers the OCEAN personality psychological traits to improve the credibility of the emergency pedestrian evacuation simulation. Firstly, the relationship between the personality and psychological stress was established based on the reconstruction of a passenger’s personality traits. Secondly, the relationship between the expected speed and a passenger’s personality traits was modified based on the social force model. Finally, the simulation was carried out using the Anylogic software. The results show that as the value of the personality increases, the evacuation time of personalities ψ A and ψ C gradually increases, but the opposite effect is observed for personalities ψ N and ψ E . Similarly, as the value of personality traits increases, the speed of personalities ψ A and ψ C gradually decreases, but the opposite effect is observed for personalities ψ N and ψ E . Only during peak periods, as the value of personality traits increases, the density of the connecting area of passengers with personality traits ψ A and ψ C gradually increases; on the contrary, that of passengers with personality traits ψ N and ψ E gradually decreases. The conclusion of this study is that different personality traits have different effects on evacuation behavior, which enriches the model of pedestrian evacuation further.

Keywords: urban traffic; simulation of emergency evacuation; OCEAN personality model; agent personality modeling (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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