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Probabilistic risk assessment for interdependent critical infrastructures: A scenario-driven dynamic stochastic model

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  • Suo, Weilan
  • Wang, Lin
  • Li, Jianping

Abstract

Critical infrastructures (CIs) are becoming increasingly important in social public services; however, various CI risk events emerge constantly with potential damages. Probabilistic risk assessment (PRA) is a quantitative measurement of risk occurrence probability that is used to support risk profile judgment and weakness identification. However, the inherent features of risk factor multiplicity, CI interdependency, and dynamic stochasticity render PRA for CIs more challenging. The purpose of this study is to investigate a PRA model for CIs with a comprehensive consideration of the inherent features and an integrated utilization of multisource data. A multidimensional PRA scenario analysis is first conducted from the perspectives of scenario elements, scenario evolution, and scenario effect. Subsequently, to support PRA for interdependent CIs, a scenario-driven dynamic stochastic model is developed based on a three-stage solution with accurate feature quantification, and effective utilization of objective factual records and subjective expert judgment. Furthermore, the applicability and effectiveness of the proposed model are demonstrated through a case study. It is indicated that the PRA results obtained using the proposed model are beneficial for decision makers to clarify the overall risk profile and determine the risk-alert periods, high-frequency risk factors, and high-risk CIs to support CI risk prevention.

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  • Suo, Weilan & Wang, Lin & Li, Jianping, 2021. "Probabilistic risk assessment for interdependent critical infrastructures: A scenario-driven dynamic stochastic model," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    • Handle: RePEc:eee:reensy:v:214:y:2021:i:c:s0951832021002647
    DOI: 10.1016/j.ress.2021.107730
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    as
    1. Kjølle, G.H. & Utne, I.B. & Gjerde, O., 2012. "Risk analysis of critical infrastructures emphasizing electricity supply and interdependencies," Reliability Engineering and System Safety, Elsevier, vol. 105(C), pages 80-89.
    2. M.‐Elisabeth Paté‐Cornell & Marshall Kuypers & Matthew Smith & Philip Keller, 2018. "Cyber Risk Management for Critical Infrastructure: A Risk Analysis Model and Three Case Studies," Risk Analysis, John Wiley & Sons, vol. 38(2), pages 226-241, February.
    3. Werner, Christoph & Bedford, Tim & Cooke, Roger M. & Hanea, Anca M. & Morales-Nápoles, Oswaldo, 2017. "Expert judgement for dependence in probabilistic modelling: A systematic literature review and future research directions," European Journal of Operational Research, Elsevier, vol. 258(3), pages 801-819.
    4. 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.
    5. Utne, I.B. & Hokstad, P. & Vatn, J., 2011. "A method for risk modeling of interdependencies in critical infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 96(6), pages 671-678.
    6. Praks, Pavel & Kopustinskas, Vytis & Masera, Marcelo, 2015. "Probabilistic modelling of security of supply in gas networks and evaluation of new infrastructure," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 254-264.
    7. Tien, Iris & Der Kiureghian, Armen, 2016. "Algorithms for Bayesian network modeling and reliability assessment of infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 156(C), pages 134-147.
    8. Liu, Wei & Song, Zhaoyang, 2020. "Review of studies on the resilience of urban critical infrastructure networks," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    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. Chen, Suiyao & Lu, Lu & Xiang, Yisha & Lu, Qing & Li, Mingyang, 2018. "A data heterogeneity modeling and quantification approach for field pre-assessment of chloride-induced corrosion in aging infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 171(C), pages 123-135.
    11. Nima Haghighi & S. Kiavash Fayyaz & Xiaoyue Cathy Liu & Tony H. Grubesic & Ran Wei, 2018. "A Multi-Scenario Probabilistic Simulation Approach for Critical Transportation Network Risk Assessment," Networks and Spatial Economics, Springer, vol. 18(1), pages 181-203, March.
    12. Heracleous, Constantinos & Kolios, Panayiotis & Panayiotou, Christos G. & Ellinas, Georgios & Polycarpou, Marios M., 2017. "Hybrid systems modeling for critical infrastructures interdependency analysis," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 89-101.
    13. Dhulipala, Somayajulu L.N. & Flint, Madeleine M., 2020. "Series of semi-Markov processes to model infrastructure resilience under multihazards," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    14. Zio, Enrico, 2016. "Challenges in the vulnerability and risk analysis of critical infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 137-150.
    15. Liu, Xing & Ferrario, Elisa & Zio, Enrico, 2019. "Identifying resilient-important elements in interdependent critical infrastructures by sensitivity analysis," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 423-434.
    16. Babak Omidvar & Mohammad Hojjati Malekshah & Hamed Omidvar, 2014. "Failure risk assessment of interdependent infrastructures against earthquake, a Petri net approach: case study—power and water distribution networks," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(3), pages 1971-1993, April.
    17. G. Quijano, Eduardo & Ríos Insua, David & Cano, Javier, 2018. "Critical networked infrastructure protection from adversaries," Reliability Engineering and System Safety, Elsevier, vol. 179(C), pages 27-36.
    18. Vicki M. Bier & Shi‐Woei Lin, 2013. "On the Treatment of Uncertainty and Variability in Making Decisions About Risk," Risk Analysis, John Wiley & Sons, vol. 33(10), pages 1899-1907, October.
    19. Kwag, Shinyoung & Gupta, Abhinav & Dinh, Nam, 2018. "Probabilistic risk assessment based model validation method using Bayesian network," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 380-393.
    20. Zhang, Pengcheng & Peeta, Srinivas, 2014. "Dynamic and disequilibrium analysis of interdependent infrastructure systems," Transportation Research Part B: Methodological, Elsevier, vol. 67(C), pages 357-381.
    21. Stephanie E. Chang & Timothy McDaniels & Jana Fox & Rajan Dhariwal & Holly Longstaff, 2014. "Toward Disaster‐Resilient Cities: Characterizing Resilience of Infrastructure Systems with Expert Judgments," Risk Analysis, John Wiley & Sons, vol. 34(3), pages 416-434, March.
    22. Dunn, Sarah & Holmes, Matthew, 2019. "Development of a hierarchical approach to analyse interdependent infrastructure system failures," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    23. Zhao, S. & Liu, X. & Zhuo, Y., 2017. "Hybrid Hidden Markov Models for resilience metrics in a dynamic infrastructure system," Reliability Engineering and System Safety, Elsevier, vol. 164(C), pages 84-97.
    24. Scott Thacker & Scott Kelly & Raghav Pant & Jim W. Hall, 2018. "Evaluating the Benefits of Adaptation of Critical Infrastructures to Hydrometeorological Risks," Risk Analysis, John Wiley & Sons, vol. 38(1), pages 134-150, January.
    25. Yacov Y. Haimes, 2018. "Risk Modeling of Interdependent Complex Systems of Systems: Theory and Practice," Risk Analysis, John Wiley & Sons, vol. 38(1), pages 84-98, January.
    26. Bilal M. Ayyub, 2014. "Systems Resilience for Multihazard Environments: Definition, Metrics, and Valuation for Decision Making," Risk Analysis, John Wiley & Sons, vol. 34(2), pages 340-355, February.
    27. Gehl, Pierre & Cavalieri, Francesco & Franchin, Paolo, 2018. "Approximate Bayesian network formulation for the rapid loss assessment of real-world infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 177(C), pages 80-93.
    28. Hernandez-Fajardo, Isaac & Dueñas-Osorio, Leonardo, 2013. "Probabilistic study of cascading failures in complex interdependent lifeline systems," Reliability Engineering and System Safety, Elsevier, vol. 111(C), pages 260-272.
    29. Yelda Ayrim & Kumru Didem Atalay & Gülin Feryal Can, 2018. "A New Stochastic MCDM Approach Based on COPRAS," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(03), pages 857-882, May.
    30. Terje Aven, 2010. "On the Need for Restricting the Probabilistic Analysis in Risk Assessments to Variability," Risk Analysis, John Wiley & Sons, vol. 30(3), pages 354-360, March.
    31. Ouyang, Min, 2014. "Review on modeling and simulation of interdependent critical infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 43-60.
    32. Misuri, Alessio & Khakzad, Nima & Reniers, Genserik & Cozzani, Valerio, 2019. "A Bayesian network methodology for optimal security management of critical infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    33. 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.
    34. Cha, Eun Jeong & Ellingwood, Bruce R., 2012. "Risk-averse decision-making for civil infrastructure exposed to low-probability, high-consequence events," Reliability Engineering and System Safety, Elsevier, vol. 104(C), pages 27-35.
    35. Ouyang, Min, 2017. "A mathematical framework to optimize resilience of interdependent critical infrastructure systems under spatially localized attacks," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1072-1084.
    36. Gerd Kjølle & Oddbjørn Gjerde, 2012. "Risk Analysis of Electricity Supply," Springer Series in Reliability Engineering, in: Per Hokstad & Ingrid B. Utne & Jørn Vatn (ed.), Risk and Interdependencies in Critical Infrastructures, edition 127, chapter 0, pages 95-108, Springer.
    37. Terje Aven, 2010. "Reply to Discussants on “The Need for Restricting the Probabilistic Analysis in Risk Assessments to Variability”," Risk Analysis, John Wiley & Sons, vol. 30(3), pages 381-384, March.
    38. Julie Shortridge & Janey Smith Camp, 2019. "Addressing Climate Change as an Emerging Risk to Infrastructure Systems," Risk Analysis, John Wiley & Sons, vol. 39(5), pages 959-967, May.
    39. Ntalampiras, Stavros & Soupionis, Yannis & Giannopoulos, Georgios, 2015. "A fault diagnosis system for interdependent critical infrastructures based on HMMs," Reliability Engineering and System Safety, Elsevier, vol. 138(C), pages 73-81.
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