Key influence factors on the evacuation route selection for fire emergencies in urban underground complexes

Xiaojuan Li, Ching Ter Chang*, Yue Yue Zhu, Lu Lu Li

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

1 Scopus citations

Abstract

Purpose: The development of urban underground complexes (UUCs) has great positive significance for improving urban safety. Therefore, it is necessary to identify the key factors of the people's behavior of evacuation route selection (BERS) for fire emergencies and UUCs’ development. This study aims to find out the factors affecting people's BERS in the evacuation process of UUCs. Design/methodology/approach: This study aims to find out the factors affecting people's BERS in the evacuation process of UUCs. To achieve this goal, the authors conducted a field experiment in F City. Furthermore, the people's BERS are obtained by using a structural equation model and compared with the field test results. Findings: The authors found that the key factors for people's BERS are lighting conditions, route distance, flow direction guidance and indication. The results of this study contribute to the safety field by providing key factors for fire emergencies. It can also be used to improve fire safety management, evacuation strategies and assist in the development of intelligent evacuation systems. Originality/value: The results of this study contribute to the safety field by providing key factors for fire emergencies. It can also be used to improve fire safety management, evacuation strategies and assist in the development of intelligent evacuation systems.

Original languageEnglish
Pages (from-to)2630-2647
Number of pages18
JournalEngineering, Construction and Architectural Management
Volume31
Issue number7
DOIs
StatePublished - 27 06 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023, Emerald Publishing Limited.

Keywords

  • Behavior of evacuation route selection
  • Field experiment
  • Structural equation model

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