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    Predicting Postdisaster Residential Housing Reconstruction Based on Market Resources

    Source: Natural Hazards Review:;2020:;Volume ( 021 ):;issue: 001
    Author:
    Erin Arneson
    ,
    Amy Javernick-Will
    ,
    Matthew Hallowell
    ,
    Ross Corotis
    DOI: 10.1061/(ASCE)NH.1527-6996.0000339
    Publisher: ASCE
    Abstract: Multiple billion-dollar disaster events occurred throughout 2017, illustrating the increasing vulnerability of the US residential housing stock to widespread damages associated with disasters. Although the US construction industry plays a critical role in the reconstruction of residential housing after disasters, the industry is constrained by regional availability of labor, material, and capital resources. However, there are few quantitative assessments of why postdisaster reconstruction does not occur consistently across regions. This research introduces a quantitative model to predict regional postdisaster levels of reconstruction, based on the annual average percentage change in the number of residential housing permits issued 2 years before and after a disaster event. Results from an analysis of 204 regions affected by disasters between 2007 and 2013 indicate that predisaster construction labor availability has a statistically significant and positive effect on postdisaster reconstruction of residential housing. Surprisingly, predisaster construction material resources and postdisaster capital availability have minimal effect on reconstruction and are not statistically significant. The study contributes to the body of knowledge of postdisaster reconstruction by using economic theory of market-driven resource supply to determine driving factors that prevent or enable residential housing reconstruction following a disaster.
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      Predicting Postdisaster Residential Housing Reconstruction Based on Market Resources

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4266386
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    • Natural Hazards Review

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    contributor authorErin Arneson
    contributor authorAmy Javernick-Will
    contributor authorMatthew Hallowell
    contributor authorRoss Corotis
    date accessioned2022-01-30T20:01:29Z
    date available2022-01-30T20:01:29Z
    date issued2020
    identifier other%28ASCE%29NH.1527-6996.0000339.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4266386
    description abstractMultiple billion-dollar disaster events occurred throughout 2017, illustrating the increasing vulnerability of the US residential housing stock to widespread damages associated with disasters. Although the US construction industry plays a critical role in the reconstruction of residential housing after disasters, the industry is constrained by regional availability of labor, material, and capital resources. However, there are few quantitative assessments of why postdisaster reconstruction does not occur consistently across regions. This research introduces a quantitative model to predict regional postdisaster levels of reconstruction, based on the annual average percentage change in the number of residential housing permits issued 2 years before and after a disaster event. Results from an analysis of 204 regions affected by disasters between 2007 and 2013 indicate that predisaster construction labor availability has a statistically significant and positive effect on postdisaster reconstruction of residential housing. Surprisingly, predisaster construction material resources and postdisaster capital availability have minimal effect on reconstruction and are not statistically significant. The study contributes to the body of knowledge of postdisaster reconstruction by using economic theory of market-driven resource supply to determine driving factors that prevent or enable residential housing reconstruction following a disaster.
    publisherASCE
    titlePredicting Postdisaster Residential Housing Reconstruction Based on Market Resources
    typeJournal Paper
    journal volume21
    journal issue1
    journal titleNatural Hazards Review
    identifier doi10.1061/(ASCE)NH.1527-6996.0000339
    page04019010
    treeNatural Hazards Review:;2020:;Volume ( 021 ):;issue: 001
    contenttypeFulltext
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