Online experiments and regression analysis of evacuation decisions in response to fire alarms
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Balboa Marras, Adriana




Fecha
2023-12Derechos
Attribution-NonCommercial 4.0 International
Publicado en
Fire Safety Journal, 2023, 141, 103954
Editorial
Elsevier Limited
Enlace a la publicación
Palabras clave
Human behaviour
Evacuation
Decision-making
Fire alarm
Logistic regression
Response patterns
Resumen/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.
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