Inherent Costs and Interdependent Impacts of Infrastructure Network Resilience

Abstract

Recent studies in system resilience have proposed metrics to understand the ability of systems to recover from a disruptive event, often offering a qualitative treatment of resilience. This work provides a quantitative treatment of resilience and focuses specifically on measuring resilience in infrastructure networks. Inherent cost metrics are introduced: loss of service cost and total network restoration cost. Further, "costs" of network resilience are often shared across multiple infrastructures and industries that rely upon those networks, particularly when such networks become inoperable in the face of disruptive events. As such, this work integrates the quantitative resilience approach with a model describing the regional, multi-industry impacts of a disruptive event to measure the interdependent impacts of network resilience. The approaches discussed in this article are deployed in a case study of an inland waterway transportation network, the Mississippi River Navigation System.

Comparing the Economic Impact of Natural Disasters Generated by Different Input–Output Models: An Application to the 2007 Chehalis River Flood (WA)

“…The main contribution of the DIIM is the ability to model the recovery trajectory dynamically and to account for how inoperability in one period impairs production in the next period. Also, instead of being treated exogenously, recovery is assumed endogenous as it depends on each sector's resilience and on the gap between supply and demand in each period (Baroud, Barker, Ramirez-Marquez, & Rocco, 2015;Pant, Barker, Grant, & Landers, 2011).…”

Multidimensional approach to complex system resilience analysis

“…Stochastic properties have also been applied to resilience metrics and utilized to measure container terminal and waterway commodity flow systems [14,15]. In the area of network analysis, the concept of resilience has been applied to measure the importance of components [16].Other works have combined network resilience metrics with cost estimation [17].…”

Stochastic Ranking of Alternatives with Ordered Weighted Averaging: Comparing Network Recovery Strategies

“…A measure of resilience, calculated as the time-dependent ratio of recovery to loss, is found in Equation (4). This measure of resilience has been applied to the study of infrastructure systems [Baroud et al, 2014[Baroud et al, , 2015Pant et al 2014], component importance [Barker et al, 2013], and community structures in networks ], among others. Figure 3 depicts a network with 20 nodes and 30 links(adapted from Dai and Poh, 2002).…”