IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v243y2024ics0951832023007111.html
   My bibliography  Save this article

Risk assessment of critical infrastructures: A methodology based on criticality of infrastructure elements

Author

Listed:
  • Å arÅ«nienÄ—, Inga
  • MartiÅ¡auskas, Linas
  • KrikÅ¡tolaitis, RiÄ ardas
  • Augutis, Juozas
  • Setola, Roberto

Abstract

The assessment of risk for critical infrastructures (CIs) is a crucial aspect in ensuring the security of every country. It is imperative to have an appropriate methodology that can effectively provide adequate measures to prevent or mitigate potential impacts of hazards that may disrupt the operation of CIs. This paper presents a methodology for the risk assessment of critical infrastructure that addresses three key aspects: (a) suitability for cross-sector systems, (b) capturing dependencies and interdependencies amongst CIs, and (c) ensuring a multi-hazard approach. The proposed methodology focuses on the criticality assessment of CI elements resulting from the loss of their functionality, and the evaluation of the probability of functionality loss for these elements. By combining these assessments, the final results, which portray the risk picture, are presented through a risk matrix in a simple and explicit manner. This approach facilitates better communication with stakeholders by providing a simple and explicit depiction of the risk levels associated with CIs. To illustrate the practical implementation of the proposed methodology, a case study is presented in this paper. The results obtained from the application of the methodology highlight the most critical elements within CIs, which pose the highest level of risk.

Suggested Citation

  • Å arÅ«nienÄ—, Inga & MartiÅ¡auskas, Linas & KrikÅ¡tolaitis, RiÄ ardas & Augutis, Juozas & Setola, Roberto, 2024. "Risk assessment of critical infrastructures: A methodology based on criticality of infrastructure elements," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
  • Handle: RePEc:eee:reensy:v:243:y:2024:i:c:s0951832023007111
    DOI: 10.1016/j.ress.2023.109797
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832023007111
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ress.2023.109797?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Setola, Roberto & De Porcellinis, Stefano & Sforna, Marino, 2009. "Critical infrastructure dependency assessment using the input–output inoperability model," International Journal of Critical Infrastructure Protection, Elsevier, vol. 2(4), pages 170-178.
    2. 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.
    3. 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.
    4. Tidwell, Vincent C. & Lowry, Thomas S. & Binning, David & Graves, Jenny & Peplinski, William J. & Mitchell, Roger, 2019. "Framework for shared drinking water risk assessment," International Journal of Critical Infrastructure Protection, Elsevier, vol. 24(C), pages 37-47.
    5. Trucco, P. & Cagno, E. & Ruggeri, F. & Grande, O., 2008. "A Bayesian Belief Network modelling of organisational factors in risk analysis: A case study in maritime transportation," Reliability Engineering and System Safety, Elsevier, vol. 93(6), pages 845-856.
    6. Augutis, Juozas & Jokšas, Benas & Krikštolaitis, Ričardas & Urbonas, Rolandas, 2016. "The assessment technology of energy critical infrastructure," Applied Energy, Elsevier, vol. 162(C), pages 1494-1504.
    7. Othman, Abdullah & El-Saoud, Waleed A. & Habeebullah, Turki & Shaaban, Fathy & Abotalib, Abotalib Z., 2023. "Risk assessment of flash flood and soil erosion impacts on electrical infrastructures in overcrowded mountainous urban areas under climate change," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    8. Laugé, Ana & Hernantes, Josune & Sarriegi, Jose M., 2015. "Critical infrastructure dependencies: A holistic, dynamic and quantitative approach," International Journal of Critical Infrastructure Protection, Elsevier, vol. 8(C), pages 16-23.
    9. Correa-Henao, Gabriel J. & Yusta, Jose M. & Lacal-Arántegui, Roberto, 2013. "Using interconnected risk maps to assess the threats faced by electricity infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 6(3), pages 197-216.
    10. 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.
    11. Igor Linkov & Todd Bridges & Felix Creutzig & Jennifer Decker & Cate Fox-Lent & Wolfgang Kröger & James H. Lambert & Anders Levermann & Benoit Montreuil & Jatin Nathwani & Raymond Nyer & Ortwin Renn &, 2014. "Changing the resilience paradigm," Nature Climate Change, Nature, vol. 4(6), pages 407-409, June.
    12. HOSSAIN, Niamat Ullah Ibne & Amrani, Safae El & Jaradat, Raed & Marufuzzaman, Mohammad & Buchanan, Randy & Rinaudo, Christina & Hamilton, Michael, 2020. "Modeling and assessing interdependencies between critical infrastructures using Bayesian network: A case study of inland waterway port and surrounding supply chain network," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    13. Lu, Qin & Zhang, Wei, 2022. "Integrating dynamic Bayesian network and physics-based modeling for risk analysis of a time-dependent power distribution system during hurricanes," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
    14. Lee, Ji Yun & Ellingwood, Bruce R., 2017. "A decision model for intergenerational life-cycle risk assessment of civil infrastructure exposed to hurricanes under climate change," Reliability Engineering and System Safety, Elsevier, vol. 159(C), pages 100-107.
    15. Khakzad, Nima & Reniers, Genserik, 2015. "Using graph theory to analyze the vulnerability of process plants in the context of cascading effects," Reliability Engineering and System Safety, Elsevier, vol. 143(C), pages 63-73.
    16. Kameshwar, Sabarethinam & Cox, Daniel T. & Barbosa, Andre R. & Farokhnia, Karim & Park, Hyoungsu & Alam, Mohammad S. & van de Lindt, John W., 2019. "Probabilistic decision-support framework for community resilience: Incorporating multi-hazards, infrastructure interdependencies, and resilience goals in a Bayesian network," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    17. Mühlhofer, Evelyn & Koks, Elco E. & Kropf, Chahan M. & Sansavini, Giovanni & Bresch, David N., 2023. "A generalized natural hazard risk modelling framework for infrastructure failure cascades," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    18. Romero-Faz, David & Camarero-Orive, Alberto, 2017. "Risk assessment of critical infrastructures – New parameters for commercial ports," International Journal of Critical Infrastructure Protection, Elsevier, vol. 18(C), pages 50-57.
    19. Francis, Royce A. & Guikema, Seth D. & Henneman, Lucas, 2014. "Bayesian Belief Networks for predicting drinking water distribution system pipe breaks," Reliability Engineering and System Safety, Elsevier, vol. 130(C), pages 1-11.
    20. 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).
    21. Rehak, David & Senovsky, Pavel & Hromada, Martin & Lovecek, Tomas, 2019. "Complex approach to assessing resilience of critical infrastructure elements," International Journal of Critical Infrastructure Protection, Elsevier, vol. 25(C), pages 125-138.
    22. Dundulis, Gintautas & ŽutautaitÄ—, Inga & Janulionis, Remigijus & UÅ¡puras, Eugenijus & RimkeviÄ ius, Sigitas & Eid, Mohamed, 2016. "Integrated failure probability estimation based on structural integrity analysis and failure data: Natural gas pipeline case," Reliability Engineering and System Safety, Elsevier, vol. 156(C), pages 195-202.
    23. Rehman, Obaid ur & Ali, Yousaf & Sabir, Muhammad, 2022. "Risk assessment and mitigation for electric power sectors: A developing country's perspective," International Journal of Critical Infrastructure Protection, Elsevier, vol. 36(C).
    24. Kammouh, Omar & Gardoni, Paolo & Cimellaro, Gian Paolo, 2020. "Probabilistic framework to evaluate the resilience of engineering systems using Bayesian and dynamic Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    25. Kumar, Nikhil & Poonia, Vikas & Gupta, B.B. & Goyal, Manish Kumar, 2021. "A novel framework for risk assessment and resilience of critical infrastructure towards climate change," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    26. Hughes, Larry & de Jong, Moniek & Wang, Xiao Qin, 2016. "A generic method for analyzing the risks to energy systems," Applied Energy, Elsevier, vol. 180(C), pages 895-908.
    27. 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).
    28. Arvidsson, Björn & Johansson, Jonas & Guldåker, Nicklas, 2021. "Critical infrastructure, geographical information science and risk governance: A systematic cross-field review," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    29. Tsavdaroglou, Margarita & Al-Jibouri, Saad H.S. & Bles, Thomas & Halman, Johannes I.M., 2018. "Proposed methodology for risk analysis of interdependent critical infrastructures to extreme weather events," International Journal of Critical Infrastructure Protection, Elsevier, vol. 21(C), pages 57-71.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bhandari, Pratik & Creighton, Douglas & Gong, Jinzhe & Boyle, Carol & Law, Kris M.Y., 2023. "Evolution of cyber-physical-human water systems: Challenges and gaps," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    2. Li, He & Deng, Zhi-Ming & Golilarz, Noorbakhsh Amiri & Guedes Soares, C., 2021. "Reliability analysis of the main drive system of a CNC machine tool including early failures," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    3. Poulin, Craig & Kane, Michael B., 2021. "Infrastructure resilience curves: Performance measures and summary metrics," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    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. 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).
    6. Zhang, Lu & Cui, Li & Chen, Lujie & Dai, Jing & Jin, Ziyi & Wu, Hao, 2023. "A hybrid approach to explore the critical criteria of online supply chain finance to improve supply chain performance," International Journal of Production Economics, Elsevier, vol. 255(C).
    7. Mujjuni, F. & Betts, T. & To, L.S. & Blanchard, R.E., 2021. "Resilience a means to development: A resilience assessment framework and a catalogue of indicators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    8. Liu, Zhichen & Li, Ying & Zhang, Zhaoyi & Yu, Wenbo, 2022. "A new evacuation accessibility analysis approach based on spatial information," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    9. Lo, Huai-Wei & Liou, James J.H. & Huang, Chun-Nen & Chuang, Yen-Ching & Tzeng, Gwo-Hshiung, 2020. "A new soft computing approach for analyzing the influential relationships of critical infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 28(C).
    10. Hassan Al-Zarooni & Hamdi Bashir, 2020. "An integrated ISM fuzzy MICMAC approach for modeling and analyzing electrical power system network interdependencies," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(6), pages 1204-1226, December.
    11. 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).
    12. Mottahedi, Adel & Sereshki, Farhang & Ataei, Mohammad & Qarahasanlou, Ali Nouri & Barabadi, Abbas, 2021. "Resilience estimation of critical infrastructure systems: Application of expert judgment," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    13. 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).
    14. Caetano, Henrique O. & N., Luiz Desuó & Fogliatto, Matheus S.S. & Maciel, Carlos D., 2024. "Resilience assessment of critical infrastructures using dynamic Bayesian networks and evidence propagation," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    15. Adel Mottahedi & Farhang Sereshki & Mohammad Ataei & Ali Nouri Qarahasanlou & Abbas Barabadi, 2021. "The Resilience of Critical Infrastructure Systems: A Systematic Literature Review," Energies, MDPI, vol. 14(6), pages 1-32, March.
    16. Kampova, Katarina & Lovecek, Tomas & Rehak, David, 2020. "Quantitative approach to physical protection systems assessment of critical infrastructure elements: Use case in the Slovak Republic," International Journal of Critical Infrastructure Protection, Elsevier, vol. 30(C).
    17. Xu, Zizhen & Chopra, Shauhrat S., 2022. "Network-based Assessment of Metro Infrastructure with a Spatial–temporal Resilience Cycle Framework," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    18. Márcio das Chagas Moura & Helder Henrique Lima Diniz & Enrique López Droguett & Beatriz Sales da Cunha & Isis Didier Lins & Vicente Ribeiro Simoni, 2017. "Embedding resilience in the design of the electricity supply for industrial clients," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-33, November.
    19. Zhang, Y. & Weng, W.G., 2020. "Bayesian network model for buried gas pipeline failure analysis caused by corrosion and external interference," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    20. Mrinal Kanti Sen & Subhrajit Dutta & Golam Kabir, 2021. "Flood Resilience of Housing Infrastructure Modeling and Quantification Using a Bayesian Belief Network," Sustainability, MDPI, vol. 13(3), pages 1-24, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reensy:v:243:y:2024:i:c:s0951832023007111. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.