A Pre-Evacuation Database for Use in Egress Simulations

Ruggiero Lovreglio, Erica Kuligowski, Steve Gwynne, K E Boyce

Research output: Contribution to journalArticle

13 Citations (Scopus)
37 Downloads (Pure)

Abstract

Quantifying the pre-evacuation time (i.e., the time between first awareness and deliberate evacuation movement), is a key task for evacuation model users and fire safety engineers. The identification and employment of pre-evacuation data given an incident scenario is not a simple task for evacuation model users and fire safety engineers since data is typically scarce, partial and often difficult to access. In this work, we address this issue by presenting an expanded database including pre-evacuation times collected from 9 fire incidents and 103 evacuation drills involving 13,591 evacuees in 16 countries. These case studies are grouped according to the occupancy type of the structure(s) involved. We also used cluster analysis to identify sub-groups and potential factors that influence performance. Using this pre-evacuation data, we calibrate a set of pre-evacuation distributions that can be used to represent pre-evacuation data in existing building evacuation models. This work provides a useful resource for evacuation model users and fire safety engineers and also may provide additional insights to researchers into the factors that influence pre-evacuation times. Finally, this work can have an impact on future data collection and analysis by identifying the need for new data for specific occupancies.
Original languageEnglish
Pages (from-to)107-128
Number of pages22
JournalFire Safety Journal
Volume105
Early online date11 Jan 2019
DOIs
Publication statusPublished - 1 Apr 2019

Keywords

  • Building evacuation
  • Database
  • Egress modelling
  • Pre-evacuation

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