Behavior Selection Models of Fire Evacuations with the Consideration of Adaptive Evacuation Psychologies

Lixiao Wang (), Zhenya Zhang, Shijun Lu and Jianhu Wang
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Lixiao Wang: College of Civil Engineering and Architecture, Xinjiang University, Urumqi 830049, China
Zhenya Zhang: College of Business, Xinjiang University, Urumqi 830049, China
Shijun Lu: College of Civil Engineering and Architecture, Xinjiang University, Urumqi 830049, China
Jianhu Wang: College of Civil Engineering and Architecture, Xinjiang University, Urumqi 830049, China

Sustainability, 2024, vol. 16, issue 9, 1-15

Abstract: With the acceleration of urbanization, the increasing frequency of building fires has caused a large number of deaths and economic losses. In order to delve into the evacuation route selection behaviors seen in library fires and analyze the impacts of individual evacuation psychologies on route decisions during escaping, based on practical survey data from the library on the Boda campus of Xinjiang University, this study built a mixed Logit (ML) model irrespective of latent psychological variables and a hybrid choice model (HCM) considering the latent variables of adaptive evacuation psychologies to investigate the internal formation mechanism of evacuees’ route decisions. The results indicate that evacuees’ non-adaptive conformity psychology, adaptive altruism psychology, and environmental familiarity have significant impacts on their route decisions. The stronger the evacuees’ non-adaptive inertia psychology, the more they lean towards the shortest route. Meanwhile, altruistic adaptive evacuation psychology has a significant negative impact on the probability of choosing the longest route. The stronger the evacuees’ environmental familiarity, the more they tend to choose the evacuation route with good emergency lighting. Personal socio-economic attributes have varying impacts on peoples’ evacuation route decisions. The findings of our study provide theoretical support for sustainable planning, preparedness, and the design of fire evacuations. This contribution aids in advancing sustainable practices for emergency responses.

Keywords: library fire; evacuation route decision; latent psychological variables; non-adaptive psychology; structural equation model; hybrid choice model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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