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Preliminary interdependency analysis: An approach to support critical-infrastructure risk-assessment

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  • Bloomfield, Robin E.
  • Popov, Peter
  • Salako, Kizito
  • Stankovic, Vladimir
  • Wright, David

Abstract

We present a methodology, Preliminary Interdependency Analysis (PIA), for analysing interdependencies between critical infrastructure (CI). Consisting of two phases – qualitative analysis followed by quantitative analysis – an application of PIA progresses from a relatively quick elicitation of CI-interdependencies to the building of representative CI models, and the subsequent estimation of any resilience, risk or criticality measures an assessor might be interested in. By design, stages in the methodology are both flexible and iterative, resulting in interacting CI models that are scalable and may vary significantly in complexity and fidelity, depending on the needs and requirements of an assessor. For model parameterisation, one relies on a combination of field data, sensitivity analysis and expert judgement. Facilitated by dedicated software tool support, we illustrate PIA by applying it to a complex case-study of interacting Power (distribution and transmission) and Telecommunications networks in the Rome area. A number of studies are carried out, including: 1) an investigation of how “strength of dependence†between the CIs’ components affects various measures of risk and uncertainty, 2) for resource allocation, an exploration of different, but related, notions of CI component importance, and 3) highlighting the impact of model fidelity on the estimated risk of cascades.

Suggested Citation

  • Bloomfield, Robin E. & Popov, Peter & Salako, Kizito & Stankovic, Vladimir & Wright, David, 2017. "Preliminary interdependency analysis: An approach to support critical-infrastructure risk-assessment," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 198-217.
    • Handle: RePEc:eee:reensy:v:167:y:2017:i:c:p:198-217
    DOI: 10.1016/j.ress.2017.05.030
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    1. Bobbio, A. & Bonanni, G. & Ciancamerla, E. & Clemente, R. & Iacomini, A. & Minichino, M. & Scarlatti, A. & Terruggia, R. & Zendri, E., 2010. "Unavailability of critical SCADA communication links interconnecting a power grid and a Telco network," Reliability Engineering and System Safety, Elsevier, vol. 95(12), pages 1345-1357.
    2. 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.
    3. Johansson, Jonas & Hassel, Henrik, 2010. "An approach for modelling interdependent infrastructures in the context of vulnerability analysis," Reliability Engineering and System Safety, Elsevier, vol. 95(12), pages 1335-1344.
    4. 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.
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    Cited by:

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    2. Galbusera, Luca & Trucco, Paolo & Giannopoulos, Georgios, 2020. "Modeling interdependencies in multi-sectoral critical infrastructure systems: Evolving the DMCI approach," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    3. Perera, A.T.D. & Hong, Tianzhen, 2023. "Vulnerability and resilience of urban energy ecosystems to extreme climate events: A systematic review and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    4. Zhou, Shenghua & Yang, Yifan & Ng, S. Thomas & Xu, J. Frank & Li, Dezhi, 2020. "Integrating data-driven and physics-based approaches to characterize failures of interdependent infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 31(C).
    5. Sergio Cappucci & Maurizio Pollino & Maria Giuseppina Farrace & Lorenzo Della Morte & Valerio Baiocchi, 2024. "Infrastructure Impact Assessment through Multi-Hazard Analysis at Different Scales: The 26 November 2022 Flood Event on the Island of Ischia and Debris Management," Land, MDPI, vol. 13(4), pages 1-28, April.
    6. Liu, Huan & Tatano, Hirokazu & Pflug, Georg & Hochrainer-Stigler, Stefan, 2021. "Post-disaster recovery in industrial sectors: A Markov process analysis of multiple lifeline disruptions," Reliability Engineering and System Safety, Elsevier, vol. 206(C).
    7. Reilly, Allison C. & Baroud, Hiba & Flage, Roger & Gerst, Michael D., 2021. "Sources of uncertainty in interdependent infrastructure and their implications," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    8. Peng Zhang & Guojin Qin & Yihuan Wang, 2018. "Optimal Maintenance Decision Method for Urban Gas Pipelines Based on as Low as Reasonably Practicable Principle," Sustainability, MDPI, vol. 11(1), pages 1-19, December.
    9. Michal Wisniewski, 2021. "The Role of Integral Model of Critical Infrastructure Safety in Industry 4.0," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 1153-1188.

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