Exploring occupant exit choices during fire drills and false alarm evacuations in a library

Yunhe Tong*, Nikolai W F Bode, Milad Haghani, Ruggiero Lovreglio

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

1 Citation (Scopus)

Abstract

Effective disaster management and public safety rely heavily on understanding human behaviour during evacuations. This study investigates 497 occupant exit choices in real-world evacuation scenarios including two evacuation drills and two false alarm evacuations in a university library building. These authentic settings offer a unique opportunity to examine real-world decision-making processes during evacuations. Employing a multinomial logit model, we quantitatively assess the impact of essential factors on human decision-making. Statistical analysis reveals that participants tend to choose the exits chosen by the majority, closer exits, exits indicated by staff, or exits they are familiar with. We found that participants on the ground floor showed a greater preference for familiar exits compared to those on other floors. Most importantly, we found that in fire drills the effect of crowding and familiarity on exit choices was reduced compared to false alarm evacuations. These findings underscore the critical implications for the conduct of drills and emphasise the importance of studying the contextual dependency of human behaviour during evacuations. Our work also contributes a novel exit choice dataset collected in a naturalistic setting and highlights the importance of the context in influencing pedestrian decision-making during evacuations.
Original languageEnglish
Article number106708
Pages (from-to)1-9
Number of pages9
JournalSafety Science
Volume182
Early online date21 Nov 2024
DOIs
Publication statusPublished - 1 Feb 2025

Bibliographical note

Publisher Copyright:
© 2024 The Author(s)

Research Groups and Themes

  • Intelligent Systems Laboratory

Keywords

  • Building
  • Evacuation
  • Exit choice
  • Fire drills
  • False alarm
  • Pedestrian dynamics

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