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dc.contributor.authorIssa, Omar
dc.contributor.authorZhu, Tinger
dc.contributor.authorMarkhvida, Maryia
dc.contributor.authorCosta, Rodrigo
dc.contributor.authorBaker, Jack W.
dc.date.accessioned2026-08-20T21:07:16Z
dc.date.available2026-08-20T21:07:16Z
dc.date.copyright2025/08/05
dc.date.issued2025
dc.identifier.otherNHREFO.NHENG-2207.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313983
dc.description.abstractAbstractThe Adaptive Regional Input–Output (ARIO) model is popular for quantifying indirect economic losses, which stem from business and supply chain interruption. However, refining this model to study new contexts is challenging in its basic form due to ...
dc.publisherAmerican Society of Civil Engineers
dc.titleRefined Adaptive Regional Input–Output Model: Application to the 2016 Kumamoto Earthquake
dc.typeJournal Article
dc.journal.volume26
dc.journal.issue4
dc.journal.titleNatural Hazards Review
dc.identifier.doi10.1061/NHREFO.NHENG-2207
dc.journal.fristpage04025050-1
dc.journal.lastpage04025050-14
dc.page14
dc.treeNatural Hazards Review:;2025:;Volume ( 026 ):;issue: 004
dc.contenttypeFulltext


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