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    Refined Adaptive Regional Input–Output Model: Application to the 2016 Kumamoto Earthquake

    Source: Natural Hazards Review:;2025:;Volume ( 026 ):;issue: 004::page 04025050-1
    Author:
    Issa, Omar
    ,
    Zhu, Tinger
    ,
    Markhvida, Maryia
    ,
    Costa, Rodrigo
    ,
    Baker, Jack W.
    DOI: 10.1061/NHREFO.NHENG-2207
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe 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 ...
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      Refined Adaptive Regional Input–Output Model: Application to the 2016 Kumamoto Earthquake

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4313983
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    contributor authorIssa, Omar
    contributor authorZhu, Tinger
    contributor authorMarkhvida, Maryia
    contributor authorCosta, Rodrigo
    contributor authorBaker, Jack W.
    date accessioned2026-08-20T21:07:16Z
    date available2026-08-20T21:07:16Z
    date copyright2025/08/05
    date issued2025
    identifier otherNHREFO.NHENG-2207.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313983
    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 ...
    publisherAmerican Society of Civil Engineers
    titleRefined Adaptive Regional Input–Output Model: Application to the 2016 Kumamoto Earthquake
    typeJournal Article
    journal volume26
    journal issue4
    journal titleNatural Hazards Review
    identifier doi10.1061/NHREFO.NHENG-2207
    journal fristpage04025050-1
    journal lastpage04025050-14
    page14
    treeNatural Hazards Review:;2025:;Volume ( 026 ):;issue: 004
    contenttypeFulltext
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