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dc.contributor.authorMartani, Claudio
dc.contributor.authorAdey, Bryan T
dc.contributor.authorRobles, Ignacio
dc.contributor.authorGennaro, Federico di
dc.contributor.authorPardi, Livia
dc.contributor.authorBeltran-Hernando, Iñaki
dc.contributor.authorToribio-Diaz, Concepcion
dc.contributor.authorRedondo, Noemi Jimenez
dc.contributor.authorDíaz, Adrián Antonio Moli
dc.date.accessioned2021-12-03T18:28:17Z
dc.date.available2021-12-03T18:28:17Z
dc.date.issued2021-12
dc.identifier.citationMartani, Claudio, Bryan T Adey, Ignacio Robles, Federico di Gennaro, Livia Pardi, Iñaki Beltran-Hernando, Concepcion Toribio-Diaz, Noemi Jimenez Redondo, and Adrián Antonio Moli Díaz. “Estimating the Resilience of, and Targets for, a Transport System Using Expert Opinion.” Infrastructure Asset Management 8, no. 4 (December 1, 2021): 191–208. doi:10.1680/jinam.20.00029.en
dc.identifier.issn2053-0242en
dc.identifier.urihttp://hdl.handle.net/11556/1238
dc.description.abstractTo ensure that transport infrastructure provides acceptable levels of service with respect to extreme events, the resilience of the infrastructure needs to be estimated and targets for it need to be set. Recent work in the European research project Future Proofing Strategies for Resilient Transport Networks against Extreme Events (Foresee) has shown how this can be done in situations with a wide range of available data, time frames for the estimation and expertise. This paper provides an example of how an infrastructure manager can use the guideline to estimate the resilience of, and set resilience targets for, an example transport system in a relatively short period of time, even in the case of limited expertise in all the relevant areas and limited knowledge and information on all the basic input variables. The example is fictive but realistic. It is based on a transport system consisting of a section of the A16 highway, in Italy, where a potential landslide could discharge enough material to damage road sections and bridges. The resilience is estimated using resilience indicators with differentiated weights, and the resilience targets are set using cost–benefit analysis, to identify the indicators to be improved first.en
dc.description.sponsorshipThis work has received funding from the EU Horizon 2020 research and innovation programme under grant agreement number 769373 (Foresee project). This paper reflects only the authors’ views. The European Commission and Innovation and Networks Executive Agency are not responsible for any use that may be made of the information contained therein.en
dc.language.isoengen
dc.publisherICE Publishingen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleEstimating the resilience of, and targets for, a transport system using expert opinionen
dc.typearticleen
dc.identifier.doi10.1680/jinam.20.00029en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/769373/EU/Future proofing strategies FOr RESilient transport networks against Extreme Events/FORESEEen
dc.rights.accessRightsopenAccessen
dc.subject.keywordsHazardsen
dc.subject.keywordsRisk & probability analysisen
dc.subject.keywordsTransport managementen
dc.identifier.essn2053-0250en
dc.issue.number4
dc.journal.titleInfrastructure Asset Managementen
dc.page.final208en
dc.page.initial191en
dc.volume.number8


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