Vulnerability Analysis of Interdependent Infrastructure Systems Based on Inoperability Input–Output Models
Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 7, Issue 3
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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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
The authors would like to thank the comments from Kash Barker in University of Oklahoma. The research was financially supported by the National Natural Science Youth Foundation of China (No. 71503194), the Youth Foundation of Education Department of Hubei Province (Grant No. 17Q043), and the Centre for Service Science and Engineering Foundation of WUST (Grant No. CSSE2017GA02).
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ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 7 • Issue 3 • September 2021
Copyright
© 2021 American Society of Civil Engineers.
History
Received: May 6, 2020
Accepted: Feb 15, 2021
Published online: May 11, 2021
Published in print: Sep 1, 2021
Discussion open until: Oct 11, 2021
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