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Assessing the impact of vulnerability modeling in the protection of critical infrastructure

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  • Justin Yates
  • Sujeevraja Sanjeevi

Abstract

This paper examines the impact of arc metrics on the computational performance and spatial similarity in network interdiction modeling. Computational impact is measured in the number of iterations and total time required to reach an optimal solution. A combination of spatial analytical tools is offered as a methodology to assess the similarity in defense resource allocation when applying different arc interdiction metrics. An experimental design was devised and implemented using two real-world sub-networks of the Los Angeles County roadway system. This paper shows that arc metric selection has a limited effect on the spatial allocation of defense resources though metric choice does directly impact computation time. These results have direct implications to public policy and decision-making by enabling a modeler to increase his/her situational awareness and also their confidence in resource allocation decisions by selecting metrics that will improve their solution capabilities. Copyright Springer-Verlag 2012

Suggested Citation

  • Justin Yates & Sujeevraja Sanjeevi, 2012. "Assessing the impact of vulnerability modeling in the protection of critical infrastructure," Journal of Geographical Systems, Springer, vol. 14(4), pages 415-435, October.
    • Handle: RePEc:kap:jgeosy:v:14:y:2012:i:4:p:415-435
    DOI: 10.1007/s10109-012-0161-4
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Qian Ye & Hyun Kim, 2019. "Assessing network vulnerability of heavy rail systems with the impact of partial node failures," Transportation, Springer, vol. 46(5), pages 1591-1614, October.
    2. Shuang, Qing & Zhang, Mingyuan & Yuan, Yongbo, 2014. "Node vulnerability of water distribution networks under cascading failures," Reliability Engineering and System Safety, Elsevier, vol. 124(C), pages 132-141.
    3. Kosanoglu, Fuat & Bier, Vicki M., 2020. "Target-oriented utility for interdiction of transportation networks," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    4. Hyun Kim & Megan S. Ryerson, 2017. "The q-Ad Hoc Hub Location Problem for Multi-modal Networks," Networks and Spatial Economics, Springer, vol. 17(3), pages 1015-1041, September.

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    More about this item

    Keywords

    Network interdiction; Bi-level optimization; Spatial analysis; Critical infrastructure protection; Homeland security; C61; C02; C13; R4; Z18; H56;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics
    • Z18 - Other Special Topics - - Cultural Economics - - - Public Policy
    • H56 - Public Economics - - National Government Expenditures and Related Policies - - - National Security and War

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