Dynamic thresholds for the resilience assessment of road traffic networks to wildfires

Arango, E; Nogal, M; Yang, M; Sousa, HS; Stewart, MG; Matos, JC

Dynamic thresholds for the resilience assessment of road traffic networks to wildfires

Arango, E Nogal, M Yang, M Sousa, HS Stewart, MG Matos, JC

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Publisher:: ELSEVIER SCI LTD
Publication Type:: Journal Article
Citation:: Reliability Engineering and System Safety, 2023, 238
Issue Date:: 2023-10-01

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Field	Value	Language
dc.contributor.author	Arango, E
dc.contributor.author	Nogal, M
dc.contributor.author	Yang, M
dc.contributor.author	Sousa, HS
dc.contributor.author	Stewart, MG
dc.contributor.author	Matos, JC
dc.date.accessioned	2024-04-17T22:54:55Z
dc.date.available	2024-04-17T22:54:55Z
dc.date.issued	2023-10-01
dc.identifier.citation	Reliability Engineering and System Safety, 2023, 238
dc.identifier.issn	0951-8320
dc.identifier.issn	1879-0836
dc.identifier.uri	http://hdl.handle.net/10453/178025
dc.description.abstract	The severe effects of extreme wildfire events in recent years have shown that the fire suppression approach is not enough to solve the problem. An alternative to dealing with this issue is to accept the impossibility of eliminating wildfire hazards and focus on preparing systems to be more resilient. However, existing decision-making tools based on resilience present important drawbacks that make them inadequate for this task. This paper proposes a new approach and methodology for the resilience assessment of road traffic networks to wildfires that overcomes the main drawbacks, paying attention to the different functions of the system and the acceptance of a specific loss of performance. The latter is done through the introduction of dynamic thresholds that reflect the different requirements of the system under different wildfire conditions, including normal and extreme fires. The methodology is exemplified for five traffic networks. The results support the relevance of appropriate wildfire management through the adaptation of the natural and built environment to increase the capacity of the traffic networks to cope with wildfires.
dc.language	English
dc.publisher	ELSEVIER SCI LTD
dc.relation.ispartof	Reliability Engineering and System Safety
dc.relation.isbasedon	10.1016/j.ress.2023.109407
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	01 Mathematical Sciences, 09 Engineering, 15 Commerce, Management, Tourism and Services
dc.subject.classification	Strategic, Defence & Security Studies
dc.subject.classification	35 Commerce, management, tourism and services
dc.subject.classification	40 Engineering
dc.subject.classification	49 Mathematical sciences
dc.title	Dynamic thresholds for the resilience assessment of road traffic networks to wildfires
dc.type	Journal Article
utslib.citation.volume	238
utslib.for	01 Mathematical Sciences
utslib.for	09 Engineering
utslib.for	15 Commerce, Management, Tourism and Services
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
utslib.copyright.status	open_access	*
dc.date.updated	2024-04-17T22:54:53Z
pubs.publication-status	Published
pubs.volume	238

Abstract:

The severe effects of extreme wildfire events in recent years have shown that the fire suppression approach is not enough to solve the problem. An alternative to dealing with this issue is to accept the impossibility of eliminating wildfire hazards and focus on preparing systems to be more resilient. However, existing decision-making tools based on resilience present important drawbacks that make them inadequate for this task. This paper proposes a new approach and methodology for the resilience assessment of road traffic networks to wildfires that overcomes the main drawbacks, paying attention to the different functions of the system and the acceptance of a specific loss of performance. The latter is done through the introduction of dynamic thresholds that reflect the different requirements of the system under different wildfire conditions, including normal and extreme fires. The methodology is exemplified for five traffic networks. The results support the relevance of appropriate wildfire management through the adaptation of the natural and built environment to increase the capacity of the traffic networks to cope with wildfires.

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http://hdl.handle.net/10453/178025