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

Author

Listed:
  • Lixiao Wang

    (College of Civil Engineering and Architecture, Xinjiang University, Urumqi 830049, China
    Xinjiang Civil Engineering Technology Research Center, Urumqi 830000, China)

  • Zhenya Zhang

    (College of Business, Xinjiang University, Urumqi 830049, China)

  • Shijun Lu

    (College of Civil Engineering and Architecture, Xinjiang University, Urumqi 830049, China
    Xinjiang Key Lab of Building Structure and Earthquake Resistance (XJDX1703), Xinjiang University, Urumqi 830049, China)

  • Jianhu Wang

    (College of Civil Engineering and Architecture, Xinjiang University, Urumqi 830049, China)

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.

Suggested Citation

  • Lixiao Wang & Zhenya Zhang & Shijun Lu & Jianhu Wang, 2024. "Behavior Selection Models of Fire Evacuations with the Consideration of Adaptive Evacuation Psychologies," Sustainability, MDPI, vol. 16(9), pages 1-15, April.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:9:p:3607-:d:1382819
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    References listed on IDEAS

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    1. Ben-Akiva, Moshe & McFadden, Daniel & Train, Kenneth & Börsch-Supan, Axel, 2002. "Hybrid Choice Models: Progress and Challenges," Sonderforschungsbereich 504 Publications 02-29, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    2. Hess, Stephane, 2007. "Posterior analysis of random taste coefficients in air travel behaviour modelling," Journal of Air Transport Management, Elsevier, vol. 13(4), pages 203-212.
    3. Anna Charisse Farr & Tristan Kleinschmidt & Prasad Yarlagadda & Kerrie Mengersen, 2012. "Wayfinding: A simple concept, a complex process," Transport Reviews, Taylor & Francis Journals, vol. 32(6), pages 715-743, July.
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