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Cascading Impact Assessment in a Critical Infrastructure System

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  • Rehak, David
  • Senovsky, Pavel
  • Hromada, Martin
  • Lovecek, Tomas
  • Novotny, Petr

Abstract

Research into disruptions to, or failures in, the Critical Infrastructure (further only CI), represents an important area of investigations into the phenomena in (a) Critical Infrastructure System (further only CIS). The results arising from the prediction of the intensity of problems - and the line(s) of their impacts spread–patterns, are an important part of any decision-making process carried out by the involved parties for the early and effective realization of Safety and Security Measures. Therefore, this article's aim is to assess cascading effects in a CI system. The first part of the article deals with the typology of impacts - the aspects that form their nature; and the ways these impacts spread in a CI structure. Furthermore, the current approaches to the assessment of such cascading impacts are also described. Based on these facts, the authors define the principles and framework for assessing cascading impacts in a CI system. The CIA Method (Cascading Impact Assessment - further only CIA), which serves for the quantification of the spread of cascading impacts in a CIS, is the most important part of this article. The essence of this method lies in its assessment of all lines of business occurring in the chosen area, as well as an assessment of their resilience and links; subsequent to this, a structural map of the risk of the spread of cascading impacts was created.

Suggested Citation

  • Rehak, David & Senovsky, Pavel & Hromada, Martin & Lovecek, Tomas & Novotny, Petr, 2018. "Cascading Impact Assessment in a Critical Infrastructure System," International Journal of Critical Infrastructure Protection, Elsevier, vol. 22(C), pages 125-138.
    • Handle: RePEc:eee:ijocip:v:22:y:2018:i:c:p:125-138
    DOI: 10.1016/j.ijcip.2018.06.004
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    References listed on IDEAS

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    2. Fabio De Felice & Ilaria Baffo & Antonella Petrillo, 2022. "Critical Infrastructures Overview: Past, Present and Future," Sustainability, MDPI, vol. 14(4), pages 1-20, February.
    3. Amir Al Hamdi Redzuan & Rozana Zakaria & Aznah Nor Anuar & Eeydzah Aminudin & Norbazlan Mohd Yusof, 2022. "Road Network Vulnerability Based on Diversion Routes to Reconnect Disrupted Road Segments," Sustainability, MDPI, vol. 14(4), pages 1-22, February.
    4. David Rehak & Simona Slivkova & Heidi Janeckova & Dominika Stuberova & Martin Hromada, 2022. "Strengthening Resilience in the Energy Critical Infrastructure: Methodological Overview," Energies, MDPI, vol. 15(14), pages 1-14, July.
    5. David Rehak & Michal Radimsky & Martin Hromada & Zdenek Dvorak, 2019. "Dynamic Impact Modeling as a Road Transport Crisis Management Support Tool," Administrative Sciences, MDPI, vol. 9(2), pages 1-16, March.
    6. Natalia E. Lozano-Ramírez & Omar Sánchez & Daniela Carrasco-Beltrán & Sofía Vidal-Méndez & Karen Castañeda, 2023. "Digitalization and Sustainability in Linear Projects Trends: A Bibliometric Analysis," Sustainability, MDPI, vol. 15(22), pages 1-38, November.
    7. Katerina Vichova & Martin Hromada & Martin Dzermansky & Lukas Snopek & Robert Pekaj, 2022. "Solving Power Outages in Healthcare Facilities: Algorithmisation and Assessment of Preparedness," Energies, MDPI, vol. 16(1), pages 1-14, December.
    8. Wang, Shuliang & Lv, Wenzhuo & Zhang, Jianhua & Luan, Shengyang & Chen, Chen & Gu, Xifeng, 2021. "Method of power network critical nodes identification and robustness enhancement based on a cooperative framework," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    9. 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).

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