TY - GEN
T1 - Modeling resilience in infrastructure networks
T2 - 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013
AU - Baroud, H.
AU - Barker, K.
AU - Ramirez-Marquez, J. E.
AU - Rocco, S. C.M.
PY - 2013
Y1 - 2013
N2 - 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: Expected Loss of Service Cost, Total Network Restoration Cost, and Expected Total Cost of the Disruptive Event. 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, thereby measuring the positive impact of resilience. The approaches discussed in this paper are deployed in a case study of an inland waterway transportation network, the Mississippi River Navigation System.
AB - 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: Expected Loss of Service Cost, Total Network Restoration Cost, and Expected Total Cost of the Disruptive Event. 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, thereby measuring the positive impact of resilience. The approaches discussed in this paper are deployed in a case study of an inland waterway transportation network, the Mississippi River Navigation System.
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M3 - Conference contribution
AN - SCOPUS:84892428425
SN - 9781138000865
T3 - Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013
SP - 5447
EP - 5454
BT - Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013
Y2 - 16 June 2013 through 20 June 2013
ER -