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Inherent Costs and Interdependent Impacts of Infrastructure Network Resilience

Author

Listed:
  • Hiba Baroud
  • Kash Barker
  • Jose E. Ramirez‐Marquez
  • Claudio M. Rocco

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.

Suggested Citation

  • Hiba Baroud & Kash Barker & Jose E. Ramirez‐Marquez & Claudio M. Rocco, 2015. "Inherent Costs and Interdependent Impacts of Infrastructure Network Resilience," Risk Analysis, John Wiley & Sons, vol. 35(4), pages 642-662, April.
    • Handle: RePEc:wly:riskan:v:35:y:2015:i:4:p:642-662
    DOI: 10.1111/risa.12223
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Jingjing Kong & Slobodan P. Simonovic, 2019. "Probabilistic Multiple Hazard Resilience Model of an Interdependent Infrastructure System," Risk Analysis, John Wiley & Sons, vol. 39(8), pages 1843-1863, August.
    2. Andrew M. Smith & Andrés D. González & Leonardo Dueñas‐Osorio & Raissa M. D'Souza, 2020. "Interdependent Network Recovery Games," Risk Analysis, John Wiley & Sons, vol. 40(1), pages 134-152, January.
    3. Li, Yuhong & Zobel, Christopher W. & Seref, Onur & Chatfield, Dean, 2020. "Network characteristics and supply chain resilience under conditions of risk propagation," International Journal of Production Economics, Elsevier, vol. 223(C).
    4. Claudio M Rocco & Kash Barker & Jose Moronta & Jose E Ramirez-Marquez, 2018. "Community detection and resilience in multi-source, multi-terminal networks," Journal of Risk and Reliability, , vol. 232(6), pages 616-626, December.
    5. Andre F. T. Avelino & Sandy Dall'erba, 2019. "Comparing the Economic Impact of Natural Disasters Generated by Different Input–Output Models: An Application to the 2007 Chehalis River Flood (WA)," Risk Analysis, John Wiley & Sons, vol. 39(1), pages 85-104, January.
    6. Xiaoge Zhang & Sankaran Mahadevan & Kai Goebel, 2019. "Network Reconfiguration for Increasing Transportation System Resilience Under Extreme Events," Risk Analysis, John Wiley & Sons, vol. 39(9), pages 2054-2075, September.
    7. Gonçalves, L.A.P.J. & Ribeiro, P.J.G., 2020. "Resilience of urban transportation systems. Concept, characteristics, and methods," Journal of Transport Geography, Elsevier, vol. 85(C).
    8. D. Espinoza & J. Morris & H. Baroud & M. Bisogno & A. Cifuentes & A. Gentzoglanis & L. Luccioni & J. Rojo & F. Vahedifard, 2020. "The role of traditional discounted cash flows in the tragedy of the horizon: another inconvenient truth," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(4), pages 643-660, April.
    9. Almoghathawi, Yasser & Barker, Kash & Albert, Laura A., 2019. "Resilience-driven restoration model for interdependent infrastructure networks," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 12-23.
    10. Cameron A. MacKenzie & Christopher W. Zobel, 2016. "Allocating Resources to Enhance Resilience, with Application to Superstorm Sandy and an Electric Utility," Risk Analysis, John Wiley & Sons, vol. 36(4), pages 847-862, April.
    11. Zio, E., 2018. "The future of risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 177(C), pages 176-190.
    12. Jingjing Kong & Slobodan P. Simonovic & Chao Zhang, 2019. "Sequential Hazards Resilience of Interdependent Infrastructure System: A Case Study of Greater Toronto Area Energy Infrastructure System," Risk Analysis, John Wiley & Sons, vol. 39(5), pages 1141-1168, May.
    13. Claudio M. Rocco & Kash Barker & Elvis Hernández‐Perdomo, 2016. "Stochastic Ranking of Alternatives with Ordered Weighted Averaging: Comparing Network Recovery Strategies," Systems Engineering, John Wiley & Sons, vol. 19(5), pages 436-447, September.
    14. Jingjing Kong & Chao Zhang & Slobodan P. Simonovic, 2019. "A Two-Stage Restoration Resource Allocation Model for Enhancing the Resilience of Interdependent Infrastructure Systems," Sustainability, MDPI, vol. 11(19), pages 1-16, September.
    15. Zhenhua Chen & Junmei Cheng, 2024. "Economic consequences of inland waterway disruptions in the Upper Mississippi River region in a changing climate," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 73(2), pages 757-794, August.
    16. Poulin, Craig & Kane, Michael B., 2021. "Infrastructure resilience curves: Performance measures and summary metrics," Reliability Engineering and System Safety, Elsevier, vol. 216(C).

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