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Online experiments and regression analysis of evacuation decisions in response to fire alarms

Abstract: The stay/go decisions of people involved in fire incidents are crucial for safety. However, the factors that influence these decisions remain unclear. To address this issue, online experiments were conducted to explore the responses of individuals (n =1.807) to fire alarms under various conditions. Responses were analysed using binary logistic regression. The results showed that being in an enclosed environment and observing others leaving contributed to the decision to evacuate, whereas observing others remaining hindered individuals from evacuating. Additionally, older individuals were less likely to evacuate than younger individuals. Higher education levels increased the decision to evacuate. Gender, occupation, fitness level, experience, and previous training were not found to be significant factors. The study also confirmed that the presence of loved ones greatly increases the likelihood of deciding to evacuate. This study provides knowledge on how environmental and personal characteristics affect the evacuation decision-making process.

 Fuente: Fire Safety Journal, 2023, 141, 103954

Editorial: Elsevier Limited

 Fecha de publicación: 01/12/2023

Nº de páginas: 8

Tipo de publicación: Artículo de Revista

 DOI: 10.1016/j.firesaf.2023.103954

ISSN: 0379-7112,1873-7226

Proyecto español: PID2019-106025RB-100

Url de la publicación: https://doi.org/10.1016/j.firesaf.2023.103954