Conceptual Modeling Framework to Integrate Resilient and Interdependent Infrastructure in Extreme Weather
Publication: Journal of Infrastructure Systems
Volume 23, Issue 4
Abstract
This paper addresses two areas of inquiry: (1) critical infrastructure resilience as recovery and (2) infrastructure interdependencies and dependencies, and both of these areas are evaluated in the context of selected extreme weather events (involving water and wind) related to climate change. The purpose is to address how interdependencies and dependencies among infrastructures relate to resilience in terms of affecting recovery time. A framework for resilient infrastructure in the absence of interdependencies and dependencies from previous research is presented first to understand how negative effects of introducing these relationships may escalate and, in some cases, increase recovery time and complexity, thereby reducing resilience when these extreme conditions occur. Then, resilience and interdependence are combined in the form of a conceptual model to analyze the additional complexity that interdependencies pose for resilience. The model is on the basis of scenarios that portray the relevance of infrastructure relationships in actual types of extreme events, primarily focusing on electric power, transportation, and water infrastructure. This work is relevant to decision makers, planners and operators across a broad spectrum of infrastructure services to support their efforts to reduce adverse consequences of interdependencies and dependencies among these services. It also supports the research base for these activities, for example, for the development and application of models.
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Acknowledgments
This paper is on the basis of work supported by the following National Science Foundation grants: 1441140 Resilient Interdependent Infrastructure Processes and Systems (RIPS) Type 1—“A Meta-Network System Framework for Resilient Analysis and Design of Modern Interdependent Critical Infrastructures,” 1541164 Critical Resilient Interdependent Infrastructure Systems and Processes (CRISP) Type 1—“Reductionist and Integrative Approaches to Improve the Resiliency of Multi-Scale Interdependent Critical Infrastructure,” and 1444755 (Arizona State University lead)—”Urban Resilience to Extreme Weather Related Events Sustainability Research Network (UREx SRN).” In addition, the grant “Dynamic Resiliency Modeling and Planning for Interdependent Critical Infrastructures,” funded by Critical Infrastructure Resilience Institute, University of Illinois, Urbana-Champaign, part of the Homeland Security Center of Excellence, in turn, funded by the U.S. Department of Homeland Security is acknowledged. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation or the U.S. Department of Homeland Security.
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Published In
Journal of Infrastructure Systems
Volume 23 • Issue 4 • December 2017
Copyright
©2017 American Society of Civil Engineers.
History
Received: Jun 30, 2016
Accepted: May 9, 2017
Published online: Sep 8, 2017
Published in print: Dec 1, 2017
Discussion open until: Feb 8, 2018
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