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Optimizing infrastructure resilience under budgetary constraint

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  • Najarian, Mohammad
  • Lim, Gino J.

Abstract

Communities located in regions prone to natural and man-made disasters endure hardship and financial loss in the face of these events. Investment to enhance infrastructure resilience is vital to reduce the consequences of these low probability high-impact events. Budget and resources are limited, and they must be allocated wisely to infrastructure components to build a resilient community. The complexity of infrastructure makes it difficult to show the effects of component enhancements on system resilience. This paper proposes a mathematical programming model aimed at optimizing infrastructure resilience against a set of adverse events by optimally allocating budget to the infrastructure components. Investment, component enhancement, and corresponding functionality are combined with the resilience-based component importance to tackle the system complexity. Three utility functions are presented to determine the possible component enhancement alternatives for an allocated budget and to choose the optimal alternative. A resilience-based component importance metric is introduced, which is used in the budget allocation optimization problem. This approach establishes a relationship between amount allocated to a component and changes in its absorption and recovery, and the aggregate of all such changes on the components on the system functionality. The results show that the utility function of a component impacts the resilience enhancement of the system.

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  • Najarian, Mohammad & Lim, Gino J., 2020. "Optimizing infrastructure resilience under budgetary constraint," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    • Handle: RePEc:eee:reensy:v:198:y:2020:i:c:s0951832019308336
    DOI: 10.1016/j.ress.2020.106801
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    References listed on IDEAS

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    1. Gramlich, Edward M, 1994. "Infrastructure Investment: A Review Essay," Journal of Economic Literature, American Economic Association, vol. 32(3), pages 1176-1196, September.
    2. Igor Linkov & Cate Fox‐Lent & Laura Read & Craig R. Allen & James C. Arnott & Emanuele Bellini & Jon Coaffee & Marie‐Valentine Florin & Kirk Hatfield & Iain Hyde & William Hynes & Aleksandar Jovanovic, 2018. "Tiered Approach to Resilience Assessment," Risk Analysis, John Wiley & Sons, vol. 38(9), pages 1772-1780, September.
    3. Hosseini, Seyedmohsen & Barker, Kash & Ramirez-Marquez, Jose E., 2016. "A review of definitions and measures of system resilience," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 47-61.
    4. Cadot, Olivier & Roller, Lars-Hendrik & Stephan, Andreas, 2006. "Contribution to productivity or pork barrel? The two faces of infrastructure investment," Journal of Public Economics, Elsevier, vol. 90(6-7), pages 1133-1153, August.
    5. Ben Ammar, Semir & Eling, Martin, 2015. "Common risk factors of infrastructure investments," Energy Economics, Elsevier, vol. 49(C), pages 257-273.
    6. Mohammad Najarian & Gino J. Lim, 2019. "Design and Assessment Methodology for System Resilience Metrics," Risk Analysis, John Wiley & Sons, vol. 39(9), pages 1885-1898, September.
    7. Barker, Kash & Ramirez-Marquez, Jose Emmanuel & Rocco, Claudio M., 2013. "Resilience-based network component importance measures," Reliability Engineering and System Safety, Elsevier, vol. 117(C), pages 89-97.
    8. Ghosh, Arghya & Meagher, Kieron, 2015. "The politics of infrastructure investment: The role of product market competition," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 308-329.
    9. Studart, Rogerio & Gallagher, Kevin, 2018. "Guaranteeing sustainable infrastructure," International Economics, Elsevier, vol. 155(C), pages 84-91.
    10. Baroud, Hiba & Barker, Kash, 2018. "A Bayesian kernel approach to modeling resilience-based network component importance," Reliability Engineering and System Safety, Elsevier, vol. 170(C), pages 10-19.
    11. Fang, Yiping & Sansavini, Giovanni, 2017. "Optimizing power system investments and resilience against attacks," Reliability Engineering and System Safety, Elsevier, vol. 159(C), pages 161-173.
    12. Zhang, Xiaoge & Mahadevan, Sankaran & Sankararaman, Shankar & Goebel, Kai, 2018. "Resilience-based network design under uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 364-379.
    13. Rogerio Studart & Kevin Gallagher, 2018. "Guaranteeing sustainable infrastructure," International Economics, CEPII research center, issue 155, pages 84-91.
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    Cited by:

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