Evacuation travel paths in virtual reality experiments for tunnel safety analysis
(2015) In Fire Safety Journal 71. p.257-267- Abstract
- A case study on the analysis of evacuation travel paths in virtual reality (VR) tunnel fire experiments is presented to increase the understanding on evacuation behaviour. A novel method based on the study of the parametric equations of the occupants’ evacuation travel paths using vector operators inspired by functional analysis theory and the new concept of interaction areas (IAs) is introduced. IAs are presented and calculated in order to represent the distance of an occupant from a reference point (e.g., an emergency exit, the fire source, etc.) over time. The method allows comparisons of travel paths between experimental groups as well as comparisons with reference paths (e.g. user-defined paths, real-world paths, etc.). Results show... (More)
- A case study on the analysis of evacuation travel paths in virtual reality (VR) tunnel fire experiments is presented to increase the understanding on evacuation behaviour. A novel method based on the study of the parametric equations of the occupants’ evacuation travel paths using vector operators inspired by functional analysis theory and the new concept of interaction areas (IAs) is introduced. IAs are presented and calculated in order to represent the distance of an occupant from a reference point (e.g., an emergency exit, the fire source, etc.) over time. The method allows comparisons of travel paths between experimental groups as well as comparisons with reference paths (e.g. user-defined paths, real-world paths, etc.). Results show that a common assumption employed by evacuation models (the use of a hypothetical path based on the shortest distance) may be an over-simplistic approximation of the evacuation paths. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4926771
- author
- Ronchi, Enrico LU ; Kinateder, Max ; Müller, Mathias ; Jost, Michael ; Nehfischer, Markus ; Pauli, Paul and Mühlberger, Andreas
- organization
- publishing date
- 2015
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Fire evacuation, Travel paths, Tunnel safety, Virtual reality, Functional analysis
- in
- Fire Safety Journal
- volume
- 71
- pages
- 257 - 267
- publisher
- Elsevier
- external identifiers
-
- wos:000349728000023
- scopus:84918567545
- ISSN
- 0379-7112
- DOI
- 10.1016/j.firesaf.2014.11.005
- language
- English
- LU publication?
- yes
- id
- a42f96e0-8fa5-4eeb-90b6-65e382a92264 (old id 4926771)
- date added to LUP
- 2016-04-01 13:37:09
- date last changed
- 2022-02-26 22:09:15
@article{a42f96e0-8fa5-4eeb-90b6-65e382a92264, abstract = {{A case study on the analysis of evacuation travel paths in virtual reality (VR) tunnel fire experiments is presented to increase the understanding on evacuation behaviour. A novel method based on the study of the parametric equations of the occupants’ evacuation travel paths using vector operators inspired by functional analysis theory and the new concept of interaction areas (IAs) is introduced. IAs are presented and calculated in order to represent the distance of an occupant from a reference point (e.g., an emergency exit, the fire source, etc.) over time. The method allows comparisons of travel paths between experimental groups as well as comparisons with reference paths (e.g. user-defined paths, real-world paths, etc.). Results show that a common assumption employed by evacuation models (the use of a hypothetical path based on the shortest distance) may be an over-simplistic approximation of the evacuation paths.}}, author = {{Ronchi, Enrico and Kinateder, Max and Müller, Mathias and Jost, Michael and Nehfischer, Markus and Pauli, Paul and Mühlberger, Andreas}}, issn = {{0379-7112}}, keywords = {{Fire evacuation; Travel paths; Tunnel safety; Virtual reality; Functional analysis}}, language = {{eng}}, pages = {{257--267}}, publisher = {{Elsevier}}, series = {{Fire Safety Journal}}, title = {{Evacuation travel paths in virtual reality experiments for tunnel safety analysis}}, url = {{http://dx.doi.org/10.1016/j.firesaf.2014.11.005}}, doi = {{10.1016/j.firesaf.2014.11.005}}, volume = {{71}}, year = {{2015}}, }