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    Vulnerability Analysis of Interdependent Infrastructure Systems Based on Inoperability Input–Output Models

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2021:;Volume ( 007 ):;issue: 003::page 05021002-1
    Author:
    Wenping Xu
    ,
    Jinting Cong
    ,
    Lingli Xiang
    ,
    David Proverbs
    DOI: 10.1061/AJRUA6.0001139
    Publisher: ASCE
    Abstract: Interdependent infrastructure systems consist of several sectors, including gas, power, transportation, and health systems, and are important in modern societies because they provide essential services for the continuous functioning of communities and society. This study presents a framework for conducting vulnerability analyses and key sector identification in interdependent infrastructure systems during and after the occurrence of an external perturbation. To analyze the correlation of sectors and identify the key sectors at different stages of a hazard, this study introduces input-output models, demand-driven inoperability input-output models (IIMs), and supply-driven IIMs. Moreover, an interdependency matrix is used to construct the network in an interdependent infrastructure system, and new indicators of importance and vulnerability indexes are defined to analyze changes in key sectors in different periods of an external hazard. The proposed model is illustrated through a hypothetical four-sector interdependent infrastructure system based on a flash flood event. However, the model is applicable to any physically interdependent system, such as a transportation system, power supply system, and so on. The importance and vulnerability attributes of interdependent infrastructure systems at different stages of the risk management process also provide guidance for decision makers involved in dealing with natural hazards such as flash flood events.
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      Vulnerability Analysis of Interdependent Infrastructure Systems Based on Inoperability Input–Output Models

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    contributor authorWenping Xu
    contributor authorJinting Cong
    contributor authorLingli Xiang
    contributor authorDavid Proverbs
    date accessioned2022-01-31T23:59:28Z
    date available2022-01-31T23:59:28Z
    date issued9/1/2021
    identifier otherAJRUA6.0001139.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4270704
    description abstractInterdependent infrastructure systems consist of several sectors, including gas, power, transportation, and health systems, and are important in modern societies because they provide essential services for the continuous functioning of communities and society. This study presents a framework for conducting vulnerability analyses and key sector identification in interdependent infrastructure systems during and after the occurrence of an external perturbation. To analyze the correlation of sectors and identify the key sectors at different stages of a hazard, this study introduces input-output models, demand-driven inoperability input-output models (IIMs), and supply-driven IIMs. Moreover, an interdependency matrix is used to construct the network in an interdependent infrastructure system, and new indicators of importance and vulnerability indexes are defined to analyze changes in key sectors in different periods of an external hazard. The proposed model is illustrated through a hypothetical four-sector interdependent infrastructure system based on a flash flood event. However, the model is applicable to any physically interdependent system, such as a transportation system, power supply system, and so on. The importance and vulnerability attributes of interdependent infrastructure systems at different stages of the risk management process also provide guidance for decision makers involved in dealing with natural hazards such as flash flood events.
    publisherASCE
    titleVulnerability Analysis of Interdependent Infrastructure Systems Based on Inoperability Input–Output Models
    typeJournal Paper
    journal volume7
    journal issue3
    journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
    identifier doi10.1061/AJRUA6.0001139
    journal fristpage05021002-1
    journal lastpage05021002-10
    page10
    treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2021:;Volume ( 007 ):;issue: 003
    contenttypeFulltext
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