Vulnerability Analysis of Interdependent Infrastructure Systems Based on Inoperability Input–Output ModelsSource: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2021:;Volume ( 007 ):;issue: 003::page 05021002-1DOI: 10.1061/AJRUA6.0001139Publisher: 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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contributor author | Wenping Xu | |
contributor author | Jinting Cong | |
contributor author | Lingli Xiang | |
contributor author | David Proverbs | |
date accessioned | 2022-01-31T23:59:28Z | |
date available | 2022-01-31T23:59:28Z | |
date issued | 9/1/2021 | |
identifier other | AJRUA6.0001139.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4270704 | |
description 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. | |
publisher | ASCE | |
title | Vulnerability Analysis of Interdependent Infrastructure Systems Based on Inoperability Input–Output Models | |
type | Journal Paper | |
journal volume | 7 | |
journal issue | 3 | |
journal title | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering | |
identifier doi | 10.1061/AJRUA6.0001139 | |
journal fristpage | 05021002-1 | |
journal lastpage | 05021002-10 | |
page | 10 | |
tree | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2021:;Volume ( 007 ):;issue: 003 | |
contenttype | Fulltext |