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Assessing the performance of interdependent infrastructures and optimising investments

Author

Listed:
  • Linda K. Nozick
  • Mark A. Turnquist
  • Dean A. Jones
  • Jennifer R. Davis
  • Craig R. Lawton

Abstract

Our nation's security as well as the quality of life of its citizenry depends on the continuous reliable operation of a collection of complicated interdependent infrastructures including transportation, electric power, oil, gas, telecommunications and emergency services. A disruption in one infrastructure can quickly and significantly impact another, causing ripples across the nation. Our infrastructures are increasingly reliant on new information technologies and the internet to operate, often being connected to one another via electronic, informational links. Whilst these technologies allow for enormous gains in efficiency, they also create new vulnerabilities. The focus of this paper is the development of a unifying mathematical framework to represent these "mega infrastructures" and algorithms to estimate performance and optimise investment. We include a small computational example that focuses on the delivery of gas and electric services, including the underlying SCADA system that supports the gas network, to illustrate the operation of the algorithms.

Suggested Citation

  • Linda K. Nozick & Mark A. Turnquist & Dean A. Jones & Jennifer R. Davis & Craig R. Lawton, 2005. "Assessing the performance of interdependent infrastructures and optimising investments," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 1(2/3), pages 144-154.
    • Handle: RePEc:ids:ijcist:v:1:y:2005:i:2/3:p:144-154
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    Citations

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    Cited by:

    1. Liu, Xing & Fang, Yi-Ping & Zio, Enrico, 2021. "A Hierarchical Resilience Enhancement Framework for Interdependent Critical Infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    2. Jalal Ali & Joost R. Santos, 2015. "Modeling the Ripple Effects of IT‐Based Incidents on Interdependent Economic Systems," Systems Engineering, John Wiley & Sons, vol. 18(2), pages 146-161, March.
    3. Ebrahim Bagheri & Ali A. Ghorbani, 2010. "UML-CI: A reference model for profiling critical infrastructure systems," Information Systems Frontiers, Springer, vol. 12(2), pages 115-139, April.
    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.
    5. 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.
    6. Allison C. Reilly & Andrew Samuel & Seth D. Guikema, 2015. "“Gaming the System”: Decision Making by Interdependent Critical Infrastructure," Decision Analysis, INFORMS, vol. 12(4), pages 155-172, December.

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