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An approach for modelling interdependent infrastructures in the context of vulnerability analysis

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  • Johansson, Jonas
  • Hassel, Henrik

Abstract

Technical infrastructures of the society are becoming more and more interconnected and interdependent, i.e. the function of an infrastructure influences the function of other infrastructures. Disturbances in one infrastructure therefore often traverse to other dependent infrastructures and possibly even back to the infrastructure where the failure originated. It is becoming increasingly important to take these interdependencies into account when assessing the vulnerability of technical infrastructures. In the present paper, an approach for modelling interdependent technical infrastructures is proposed. The modelling approach considers structural properties, as employed in graph theory, as well as functional properties to increase its fidelity and usefulness. By modelling a fictional electrified railway network that consists of five systems and interdependencies between the systems, it is shown how the model can be employed in a vulnerability analysis. The model aims to capture both functional and geographic interdependencies. It is concluded that the proposed modelling approach is promising and suitable in the context of vulnerability analyses of interdependent systems.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:reensy:v:95:y:2010:i:12:p:1335-1344
    DOI: 10.1016/j.ress.2010.06.010
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    References listed on IDEAS

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    1. H Jönsson & J Johansson & H Johansson, 2008. "Identifying critical components in technical infrastructure networks," Journal of Risk and Reliability, , vol. 222(2), pages 235-243, June.
    2. Theresa Brown & Walt Beyeler & Dianne Barton, 2004. "Assessing infrastructure interdependencies: the challenge of risk analysis for complex adaptive systems," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 1(1), pages 108-117.
    3. Patterson, S.A. & Apostolakis, G.E., 2007. "Identification of critical locations across multiple infrastructures for terrorist actions," Reliability Engineering and System Safety, Elsevier, vol. 92(9), pages 1183-1203.
    4. Stephanie E. Chang & Timothy L. McDaniels & Joey Mikawoz & Krista Peterson, 2007. "Infrastructure failure interdependencies in extreme events: power outage consequences in the 1998 Ice Storm," 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. 41(2), pages 337-358, May.
    5. Alan T. Murray & Timothy C. Matisziw & Tony H. Grubesic, 2008. "A Methodological Overview of Network Vulnerability Analysis," Growth and Change, Wiley Blackwell, vol. 39(4), pages 573-592, December.
    6. Dilley, Maxx & Boudreau, Tanya E., 2001. "Coming to terms with vulnerability: a critique of the food security definition," Food Policy, Elsevier, vol. 26(3), pages 229-247, June.
    7. Stan Kaplan & Yacov Y. Haimes & B. John Garrick, 2001. "Fitting Hierarchical Holographic Modeling into the Theory of Scenario Structuring and a Resulting Refinement to the Quantitative Definition of Risk," Risk Analysis, John Wiley & Sons, vol. 21(5), pages 807-807, October.
    8. Eusgeld, Irene & Kröger, Wolfgang & Sansavini, Giovanni & Schläpfer, Markus & Zio, Enrico, 2009. "The role of network theory and object-oriented modeling within a framework for the vulnerability analysis of critical infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 94(5), pages 954-963.
    9. R. Kinney & P. Crucitti & R. Albert & V. Latora, 2005. "Modeling cascading failures in the North American power grid," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 46(1), pages 101-107, July.
    10. Rae Zimmerman & Carlos E. Restrepo, 2006. "The next step: quantifying infrastructure interdependencies to improve security," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 2(2/3), pages 215-230.
    11. Benoit Robert & Luciano Morabito, 2010. "An approach to identifying geographic interdependencies among critical infrastructures," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 6(1), pages 17-30.
    12. Aven, Terje, 2007. "A unified framework for risk and vulnerability analysis covering both safety and security," Reliability Engineering and System Safety, Elsevier, vol. 92(6), pages 745-754.
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