A probabilistic approach for the analysis of evacuation movement data
Ronchi, Enrico LU
; Kuligowski, Erica D.
; Peacock, Richard D.
and Reneke, Paul A.
(2014)
In Fire Safety Journal
63.
p.69-78
- Abstract
- This paper presents a probabilistic approach to analyse evacuation movement data. The approach relies on a detailed video analysis of people movement and pattern reconstruction. Conditional probabilities for travel path trajectories, walking speeds, and physical area occupied on stair landings are calculated for the evacuee population. The approach has been applied as a case study using data from an evacuation drill performed in a six-storey office building in the United States. The evacuation drill was filmed and occupant's behaviours on stairs were analysed using the new method. A comparison with the deterministic methods currently employed in engineering practice has been performed. The benefits of the probabilistic approach are... (More)
- This paper presents a probabilistic approach to analyse evacuation movement data. The approach relies on a detailed video analysis of people movement and pattern reconstruction. Conditional probabilities for travel path trajectories, walking speeds, and physical area occupied on stair landings are calculated for the evacuee population. The approach has been applied as a case study using data from an evacuation drill performed in a six-storey office building in the United States. The evacuation drill was filmed and occupant's behaviours on stairs were analysed using the new method. A comparison with the deterministic methods currently employed in engineering practice has been performed. The benefits of the probabilistic approach are discussed, including (1) a more accurate representation of people movement and (2) the use of probabilistic data for modelling purposes, i.e., model validation and model development. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4220062
- author
- Ronchi, Enrico
LU
; Kuligowski, Erica D.
; Peacock, Richard D.
and Reneke, Paul A.
- organization
- publishing date
- 2014
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Pedestrian movement, Probabilistic approach, Stair evacuation, Effective width, Conditional probabilities, Evacuation modelling
- in
- Fire Safety Journal
- volume
- 63
- pages
- 69 - 78
- publisher
- Elsevier
- external identifiers
-
- wos:000331680900008
- scopus:84890909212
- ISSN
- 0379-7112
- DOI
- 10.1016/j.firesaf.2013.11.012
- language
- English
- LU publication?
- yes
- id
- ee19739c-9fbc-41e5-b434-c106dc4290fa (old id 4220062)
- date added to LUP
- 2016-04-01 14:25:23
- date last changed
- 2022-01-28 00:35:12
@article{ee19739c-9fbc-41e5-b434-c106dc4290fa,
abstract = {{This paper presents a probabilistic approach to analyse evacuation movement data. The approach relies on a detailed video analysis of people movement and pattern reconstruction. Conditional probabilities for travel path trajectories, walking speeds, and physical area occupied on stair landings are calculated for the evacuee population. The approach has been applied as a case study using data from an evacuation drill performed in a six-storey office building in the United States. The evacuation drill was filmed and occupant's behaviours on stairs were analysed using the new method. A comparison with the deterministic methods currently employed in engineering practice has been performed. The benefits of the probabilistic approach are discussed, including (1) a more accurate representation of people movement and (2) the use of probabilistic data for modelling purposes, i.e., model validation and model development.}},
author = {{Ronchi, Enrico and Kuligowski, Erica D. and Peacock, Richard D. and Reneke, Paul A.}},
issn = {{0379-7112}},
keywords = {{Pedestrian movement; Probabilistic approach; Stair evacuation; Effective width; Conditional probabilities; Evacuation modelling}},
language = {{eng}},
pages = {{69--78}},
publisher = {{Elsevier}},
series = {{Fire Safety Journal}},
title = {{A probabilistic approach for the analysis of evacuation movement data}},
url = {{http://dx.doi.org/10.1016/j.firesaf.2013.11.012}},
doi = {{10.1016/j.firesaf.2013.11.012}},
volume = {{63}},
year = {{2014}},
}