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An optimization-based framework for modeling counterterrorism strategies

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  • Eiselt, H.A.
  • Bhadury, Joy
  • Burkey, Mark L.

Abstract

The paper introduces the subject of terrorism and counterterrorism by means of a two-person bimatrix game that provides some insight into the behavior of the two players. We then examine three important areas in counterterrorism tasks: the detection of terrorist cells and how to render them inoperable, the fortification of assets in order to protect them from terrorist attacks, and the optimal evacuation of people from an area affected by terrorism. Basic mathematical models are formulated and demonstrated. The paper concludes with some thoughts on potential extensions of the models presented here.

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File URL: http://mpra.ub.uni-muenchen.de/36117/
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File URL: http://mpra.ub.uni-muenchen.de/47260/
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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 36117.

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Date of creation: 2011
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Handle: RePEc:pra:mprapa:36117

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Keywords: mathematical models; terrorism;

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  1. Bruno S. Frey & Simon Luechinger & Alois Stutzer, 2004. "Calculating Tragedy: Assessing the Costs of Terrorism," CESifo Working Paper Series 1341, CESifo Group Munich.
  2. Elselt, H. A., 1998. "Perception and information in a competitive location model," European Journal of Operational Research, Elsevier, vol. 108(1), pages 94-105, July.
  3. Vicki Bier & Santiago Oliveros & Larry Samuelson, 2007. "Choosing What to Protect: Strategic Defensive Allocation against an Unknown Attacker," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 9(4), pages 563-587, 08.
  4. Sherali, Hanif D. & Carter, Todd B. & Hobeika, Antoine G., 1991. "A location-allocation model and algorithm for evacuation planning under hurricane/flood conditions," Transportation Research Part B: Methodological, Elsevier, vol. 25(6), pages 439-452, December.
  5. Sandler, Todd & Enders, Walter, 2004. "An economic perspective on transnational terrorism," European Journal of Political Economy, Elsevier, vol. 20(2), pages 301-316, June.
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