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    Measuring Community Resilience to Coastal Hazards along the Northern Gulf of Mexico

    Source: Natural Hazards Review:;2016:;Volume ( 017 ):;issue: 001
    Author:
    Nina S. N. Lam
    ,
    Margaret Reams
    ,
    Kenan Li
    ,
    Chi Li
    ,
    Lillian P. Mata
    DOI: 10.1061/(ASCE)NH.1527-6996.0000193
    Publisher: American Society of Civil Engineers
    Abstract: The abundant research examining aspects of social-ecological resilience, vulnerability, and hazards and risk assessment has yielded insights into these concepts and suggested the importance of quantifying them. Quantifying resilience is complicated by several factors including the varying definitions of the term applied in the research, difficulties involved in selecting and aggregating indicators of resilience, and the lack of empirical validation for the indices derived. This paper applies a new model, called the resilience inference measurement (RIM) model, to quantify resilience to climate-related hazards for 52 U.S. counties along the northern Gulf of Mexico. The RIM model uses three elements (exposure, damage, and recovery indicators) to denote two relationships (vulnerability and adaptability), and employs both K-means clustering and discriminant analysis to derive the resilience rankings, thus enabling validation and inference. The results yielded a classification accuracy of 94.2% with 28 predictor variables. The approach is theoretically sound and can be applied to derive resilience indices for other study areas at different spatial and temporal scales.
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      Measuring Community Resilience to Coastal Hazards along the Northern Gulf of Mexico

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    contributor authorNina S. N. Lam
    contributor authorMargaret Reams
    contributor authorKenan Li
    contributor authorChi Li
    contributor authorLillian P. Mata
    date accessioned2017-05-08T22:25:30Z
    date available2017-05-08T22:25:30Z
    date copyrightFebruary 2016
    date issued2016
    identifier other44426456.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/80383
    description abstractThe abundant research examining aspects of social-ecological resilience, vulnerability, and hazards and risk assessment has yielded insights into these concepts and suggested the importance of quantifying them. Quantifying resilience is complicated by several factors including the varying definitions of the term applied in the research, difficulties involved in selecting and aggregating indicators of resilience, and the lack of empirical validation for the indices derived. This paper applies a new model, called the resilience inference measurement (RIM) model, to quantify resilience to climate-related hazards for 52 U.S. counties along the northern Gulf of Mexico. The RIM model uses three elements (exposure, damage, and recovery indicators) to denote two relationships (vulnerability and adaptability), and employs both K-means clustering and discriminant analysis to derive the resilience rankings, thus enabling validation and inference. The results yielded a classification accuracy of 94.2% with 28 predictor variables. The approach is theoretically sound and can be applied to derive resilience indices for other study areas at different spatial and temporal scales.
    publisherAmerican Society of Civil Engineers
    titleMeasuring Community Resilience to Coastal Hazards along the Northern Gulf of Mexico
    typeJournal Paper
    journal volume17
    journal issue1
    journal titleNatural Hazards Review
    identifier doi10.1061/(ASCE)NH.1527-6996.0000193
    treeNatural Hazards Review:;2016:;Volume ( 017 ):;issue: 001
    contenttypeFulltext
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