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dc.contributor.authorSasidharan, M
dc.contributor.authorBurrow, MPN
dc.contributor.authorGhataora, GS
dc.contributor.authorMarathu, R
dc.date.accessioned2022-01-28T16:50:01Z
dc.date.available2022-01-28T16:50:01Z
dc.date.issued2022
dc.date.submitted2021-02-28
dc.identifier.citationProceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, volume 236, issue 2, page 183-197
dc.identifier.issn0954-4097
dc.identifier.other10.1177_09544097211038373
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/333360
dc.description.abstract<jats:p> The provision of safe, efficient, reliable and affordable railway transport requires the railway track infrastructure to be maintained to an appropriate condition. Given the constrained budgets under which the infrastructure is managed, maintenance needs to be predicted in advance of track failure, prioritized and identified risks and uncertainties need to be considered within the decision-making process. This paper describes a risk-informed approach that can be used to economically justify railway track infrastructure conditions by comparing on a life-cycle basis infrastructure maintenance costs, train operating costs, travel time costs, safety, social and environmental impacts. The approach represents a step-change for the railway industry as it will enable economic maintenance standards to be derived which considers the needs of the infrastructure operator, but also those of users, train operating companies and the environment. Further, the risk-informed capability of the tool enables asset managers to deal with uncertainties associated with forecasting costs and the effects of track maintenance, and unavailability of data. The Monte Carlo simulation technique and a Fuzzy reasoning approach are used to address safety data uncertainties through probabilistic risk assessment allied to expert opinion. The approach is illustrated using data from three routes on the UK mainline railway network. The results demonstrate that the approach can be used to support strategic and tactical levels of railway asset management to inform plausible design and maintenance strategies that realise the maximum benefit for the available budget. </jats:p>
dc.languageen
dc.publisherSAGE Publications
dc.subjectSpecial Issue Articles
dc.subjectDerailment
dc.subjectuncertainty
dc.subjectsafety
dc.subjectexpert judgement
dc.subjectrisk assessment
dc.subjectfuzzy
dc.subjectMonte Carlo
dc.subjecttrack quality
dc.subjectinformation
dc.subjectdecision making
dc.subjectasset management
dc.titleA risk-informed decision support tool for the strategic asset management of railway track infrastructure
dc.typeArticle
dc.date.updated2022-01-28T16:50:01Z
prism.publicationNameProceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit
dc.identifier.doi10.17863/CAM.80783
dcterms.dateAccepted2021-07-21
rioxxterms.versionofrecord10.1177/09544097211038373
rioxxterms.versionVoR
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0/
rioxxterms.licenseref.startdate2021-08-05
datacite.contributor.supervisorguest-editor: Steele, Heather
datacite.contributor.supervisorguest-editor: Jack, Anson
dc.contributor.orcidSasidharan, M [0000-0001-7104-2943]
dc.identifier.eissn2041-3017
cam.issuedOnline2021-08-05
rioxxterms.freetoread.startdate2021-08-05
rioxxterms.freetoread.startdate2021-08-05


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