Development of an agent-based indoor evacuation model for local fire risks analysis
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
---|---|
Pages (from-to) | 75-92 |
Journal / Publication | Journal of Safety Science and Resilience |
Volume | 4 |
Issue number | 1 |
Online published | 24 Nov 2022 |
Publication status | Published - Mar 2023 |
Link(s)
DOI | DOI |
---|---|
Attachment(s) | Documents
Publisher's Copyright Statement
|
Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85144417027&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(a03842d8-c5d6-4e33-a3be-9832d281b36d).html |
Abstract
Evidence suggests that in the event of a fire accident, a certain number of building occupants escape through smoke-filled environments. Consequently, evaluating the corresponding evacuation performance under such life-threatening conditions is important for advancing fire safety analyses. This study aimed to develop a fire-integrated evacuation model to consider the effects of spreading fire hazards (i.e., radiation, temperature, toxic gas, visibility) on evacuees in a room fire evacuation scenario. Furthermore, a novel quantitative approach was introduced to evaluate evacuees’ local fire risks and stress levels according to their egress paths. The escape characteristics at various stages of fire development were studied as well. The results demonstrate that evacuation performance varies considerably depending on the severity of evacuees’ confronted fire hazard conditions, which emphasizes the importance of minimizing the pre-evacuation time in fire evacuation emergencies.
Research Area(s)
- Evacuation dynamics, Fire emergency, Indoor evacuation modeling, Local fire risks
Citation Format(s)
Development of an agent-based indoor evacuation model for local fire risks analysis. / Cao, Rui Feng; Lee, Eric Wai Ming; Xie, Wei et al.
In: Journal of Safety Science and Resilience, Vol. 4, No. 1, 03.2023, p. 75-92.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Download Statistics
No data available