Title :
A stochastic analysis on occupant evacuation time under emergency conditions
Author :
Chu Guanquan ; Wang Jinhui
Author_Institution :
Waterborne Transp. Inst., Minist. of Transp., Beijing, China
Abstract :
This paper presents a study on uncertainty of occupant evacuation time under emergency conditions. Some uncertainties influencing on emergency evacuation are analyzed based on three factors, namely emergency evolution dynamics, human behaviors under emergency conditions and environment. Fire emergency condition is presented as case study. Uncertainty of fire detection and alarm time is studied with consideration of lognormal fire growth rates and other random variables. The sum of pre-movement and movement time is simulated by considering different normal pre-movement time. Finally, stochastic analysis on occupant evacuation time is analyzed by coupling uncertainty of fire detection, alarm, pre-movement and movement time. The results show that occupant evacuation time is a variable especially influenced by a large number of uncertainties.
Keywords :
emergency services; fires; log normal distribution; stochastic processes; alarm time; emergency evacuation conditions; emergency evolution dynamics; fire detection uncertainty; fire emergency condition; human behaviors; lognormal fire growth rates; occupant evacuation time; stochastic analysis; Buildings; Fires; Humans; Probability distribution; Stochastic processes; Uncertainty; emergency conditions; evacuation time; fire detection time; pre-movement time; probability distribution;
Conference_Titel :
Emergency Management and Management Sciences (ICEMMS), 2011 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-9665-5
DOI :
10.1109/ICEMMS.2011.6015614