Identifying and estimating causal effects of bridge failures from observational data

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dc.contributor.authorÇiftçioğlu A.Ö.
dc.contributor.authorNaser M.Z.
dc.date.accessioned2024-07-22T08:01:35Z
dc.date.available2024-07-22T08:01:35Z
dc.date.issued2024
dc.description.abstractThis paper presents a causal analysis aimed at identifying and estimating causal effects with regard to bridge failures under extreme events. Observational data on about 299 bridge incidents were used to conduct this causal investigation and examine bridges’ performance. As causal investigations can also deliver counterfactual assessments of parallel worlds, a causal analysis can serve as a high-merit methodology to evaluate the performance of critical bridges. Our findings quantify the causal impacts of various factors spanning the characteristics of bridges, traffic demands, and incident type (i.e., fire, high wind, scour/flood, earthquake, and impact/collision). More specifically, our analysis reveals high causal effects related to the used structural system, construction materials, and demand served. © 2023 The Authors
dc.identifier.DOI-ID10.1016/j.iintel.2023.100068
dc.identifier.issn27729915
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/11508
dc.language.isoEnglish
dc.publisherElsevier B.V.
dc.rightsAll Open Access; Gold Open Access
dc.subjectScour
dc.subjectBridge failures
dc.subjectBridge performance
dc.subjectCausal analysis
dc.subjectCausal inferences
dc.subjectCounterfactuals
dc.subjectExtreme events
dc.subjectObservational data
dc.subjectTraffic incidents
dc.subjectVulnerability
dc.subjectFailure (mechanical)
dc.titleIdentifying and estimating causal effects of bridge failures from observational data
dc.typeArticle

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