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Establishing public policy to protect critical infrastructure: Finding a balance between exposure and cost in Los Angeles County


  • Yates, Justin
  • Batta, Rajan
  • Karwan, Mark
  • Casas, Irene


This paper examines the problem of critical infrastructure protection in urban environments and provides a mechanism for evaluating the performance allocated resources on defense of the region. In the devised formulation, a bi-level mixed integer program and hypercube queuing model compose the mathematical model used to represent the concept of critical infrastructure protection between an attacker and a defender operating within the urban environment and an experimental design is used as the basis for observing salient properties and trends. Applying the model within Los Angeles County, California, results demonstrate the trade-offs observed in various protection schemes and illustrate how continuously increasing defense resources does not guarantee a safer region. The implication of detection strategy on response capability is also assessed through the case study, illustrating the importance of balance when deriving solutions. We also show how the mathematical model may be used to support research and development in defense technologies by identifying resource characteristics that strongly influence infrastructure protection.

Suggested Citation

  • Yates, Justin & Batta, Rajan & Karwan, Mark & Casas, Irene, 2012. "Establishing public policy to protect critical infrastructure: Finding a balance between exposure and cost in Los Angeles County," Transport Policy, Elsevier, vol. 24(C), pages 109-117.
  • Handle: RePEc:eee:trapol:v:24:y:2012:i:c:p:109-117
    DOI: 10.1016/j.tranpol.2012.08.003

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    References listed on IDEAS

    1. J. P. Jarvis, 1985. "Approximating the Equilibrium Behavior of Multi-Server Loss Systems," Management Science, INFORMS, vol. 31(2), pages 235-239, February.
    2. Osman Alp & Erhan Erkut & Zvi Drezner, 2003. "An Efficient Genetic Algorithm for the p-Median Problem," Annals of Operations Research, Springer, vol. 122(1), pages 21-42, September.
    3. Owen, Susan Hesse & Daskin, Mark S., 1998. "Strategic facility location: A review," European Journal of Operational Research, Elsevier, vol. 111(3), pages 423-447, December.
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    Cited by:

    1. Zhang, C. & Liu, X. & Jiang, YP. & Fan, B. & Song, X., 2016. "A two-stage resource allocation model for lifeline systems quick response with vulnerability analysis," European Journal of Operational Research, Elsevier, vol. 250(3), pages 855-864.
    2. Szeto, W.Y. & Farahani, R.Z. & Sumalee, Agachai, 2017. "Link-based multi-class hazmat routing-scheduling problem: A multiple demon approach," European Journal of Operational Research, Elsevier, vol. 261(1), pages 337-354.


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