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A research roadmap for evacuation models used in fire safety engineering

Ronchi, Enrico LU (2016)
Abstract
Evacuation models used in fire safety engineering have largely expanded their capabilities over the last decades. They started as simple computational tools in which people movement equations were implemented in discrete spaces, while they now often allow the simulation of complex behaviours and decision making through advanced agent-based simulation techniques in three-dimensional environments. While the progress of evacuation modelling techniques appears evident comparing their capabilities over the years, there are still quite a few areas in which there is room for significant improvements. This paper wants to open a discussion on a research roadmap for evacuation models used in fire safety engineering. In other words, this paper... (More)
Evacuation models used in fire safety engineering have largely expanded their capabilities over the last decades. They started as simple computational tools in which people movement equations were implemented in discrete spaces, while they now often allow the simulation of complex behaviours and decision making through advanced agent-based simulation techniques in three-dimensional environments. While the progress of evacuation modelling techniques appears evident comparing their capabilities over the years, there are still quite a few areas in which there is room for significant improvements. This paper wants to open a discussion on a research roadmap for evacuation models used in fire safety engineering. In other words, this paper explores what features need to be possibly implemented, improved, or expanded in existing evacuation models for fire safety engineering applications. This considers both improvements based on existing knowledge in the evacuation research field as well as possible future research directions. Five areas of development concerning evacuation modelling are here discussed, namely 1) factors affecting people movement, 2) route choice modelling, 3) behavioural uncertainty, 4) integration with other models and 5) validation methods. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to conference
publication status
published
subject
keywords
Evacuation Modelling, Fire Safety, People movement, Route choice, Behavioural uncertainty
language
English
LU publication?
yes
id
3af3720e-e6cb-4393-9f0f-5ea63bd10055
date added to LUP
2016-12-08 11:11:21
date last changed
2016-12-20 13:33:13
@misc{3af3720e-e6cb-4393-9f0f-5ea63bd10055,
  abstract     = {Evacuation models used in fire safety engineering have largely expanded their capabilities over the last decades. They started as simple computational tools in which people movement equations were implemented in discrete spaces, while they now often allow the simulation of complex behaviours and decision making through advanced agent-based simulation techniques in three-dimensional environments. While the progress of evacuation modelling techniques appears evident comparing their capabilities over the years, there are still quite a few areas in which there is room for significant improvements. This paper wants to open a discussion on a research roadmap for evacuation models used in fire safety engineering. In other words, this paper explores what features need to be possibly implemented, improved, or expanded in existing evacuation models for fire safety engineering applications. This considers both improvements based on existing knowledge in the evacuation research field as well as possible future research directions. Five areas of development concerning evacuation modelling are here discussed, namely 1) factors affecting people movement, 2) route choice modelling, 3) behavioural uncertainty, 4) integration with other models and 5) validation methods.},
  author       = {Ronchi, Enrico},
  keyword      = {Evacuation Modelling,Fire Safety,People movement,Route choice,Behavioural uncertainty},
  language     = {eng},
  title        = {A research roadmap for evacuation models used in fire safety engineering},
  year         = {2016},
}