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dc.contributor.authorMartani, Claudio
dc.contributor.authorAdey, Bryan Tyrone
dc.contributor.authorRobles Urquijo, Ignacio 
dc.contributor.authorGennaro, Federico di
dc.contributor.authorPardi, Livia
dc.contributor.authorBeltrán Hernando, Iñaki
dc.contributor.authorToribio Díaz, Concepción
dc.contributor.authorJiménez Redondo, Noemí
dc.contributor.authorMoli Díaz, Abdrán Antonio
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2023-05-31T08:53:26Z
dc.date.available2023-05-31T08:53:26Z
dc.date.issued2021-12
dc.identifier.issn2053-0242
dc.identifier.issn2053-0250
dc.identifier.urihttps://hdl.handle.net/10902/29164
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.es_ES
dc.description.sponsorshipThis work has received funding from the EU Horizon 2020research and innovation programme under grant agreementnumber 769373 (Foresee project). This paper reflects only theauthors’views. The European Commission and Innovation andNetworks Executive Agency are not responsible for any use thatmay be made of the information contained therein.es_ES
dc.format.extent18 p.es_ES
dc.language.isoenges_ES
dc.publisherICE Publishinges_ES
dc.rightsAttribution 4.0 Internationales_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceInfrastructure Asset Management, 2021, 8(4), 191-208es_ES
dc.titleEstimating the resilience of, and targets for, a transport system using expert opiniones_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1680/jinam.20.00029es_ES
dc.rights.accessRightsopenAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/769373/EU/Future proofing strategies FOr RESilient transport networks against Extreme Events/FORESEE/es_ES
dc.identifier.DOI10.1680/jinam.20.00029
dc.type.versionpublishedVersiones_ES


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Attribution 4.0 InternationalExcepto si se señala otra cosa, la licencia del ítem se describe como Attribution 4.0 International