Probabilistic risk analysis and terrorism risk

Ezell, B.C., Bennett, S.P., von Winterfeldt, D., Sokolowski, J., & Collins, A.J. (2010). Probabilistic risk analysis and terrorism risk. Risk Analysis 30 (4) 575-589. 10.1111/j.1539-6924.2010.01401.x.

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Abstract

Since the terrorist attacks of September 11, 2001, and the subsequent establishment of the U.S. Deparment of Homeland Security (DHS), considerable efforts have been made to estimate the risks of terrorism and the cost efectiveness of security policies to reduce these risks. DHS, industry, and the academic risk analysis communities have all invested heavily in the development of tools and approaches that can assist decisionmakers in effectively allocating limited resources across the vast array of potential investments that could mitigate risks from terrorism and other threats to the homeland. Decisionmakers demand models, analyses, and decision support that are useful for this task and based on the state of the art. Since terrorism risk analysis is new, no single method is likely to meet this challenge. In this article we explore a number of existing and potential approaches for terrorism risk analysis, focusing particularly on recent discussions regarding the applicability of probabilistic and decision analytic approaches to bioterrorism risks and the Bioterrorism Risk Assessment methodology used by the DHS and criticized by the National Academies and others.

Item Type: Article
Uncontrolled Keywords: Adaptive adversary; Decision tree; Event tree; Terrorism risk
Research Programs: Directorate (DIR)
Bibliographic Reference: Risk Analysis; 30(4):575-589 (April 2010) (Published online 12 April 2010)
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 08:44
Last Modified: 27 Aug 2021 17:38
URI: https://pure.iiasa.ac.at/9263

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