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Estimating Terrorism Risk / Henry H. Willis ... [et al.].

Contributor(s): Publisher: Santa Monica, CA : RAND, 2005Description: xxv, 66, pages : illustrations ; 28 cmContent type:
  • text
Media type:
  • computer
  • unmediated
Carrier type:
  • online resource
  • volume
ISBN:
  • 0833038346 (pbk. : alk. paper)
  • 0833040936 (electronic bk.)
  • 9780833038340
  • 9780833040930 (electronic bk.)
Subject(s): LOC classification:
  • HV6432 .E88 2005
Online resources: Available additional physical forms:
  • Also available on the internet via WWW in PDF format.
Contents:
Introduction -- Terrorism Risk and Its Components -- Accounting for Uncertainty and Values in Terrorism Risk Assessment -- Two Approaches to Estimating Terrorism Risk in Urban Areas -- Evaluating the Performance of Different Estimates of Terrorism Risk -- Conclusions and Recommendations -- Appendix: Supporting Figures and Table.
Summary: The Department of Homeland Security (DHS) is responsible for protecting the United States from terrorism. It achieves this goal partly through the Urban Areas Security Initiative, which allocates resources to states and urban areas. Until DHS can know the effectiveness of available risk-reduction alternatives or determine reasonable minimum standards for community preparedness, allocating homeland security resources based on risk is the next best approach; areas at higher risk are likely to have more and larger opportunities for risk reduction than areas at lower risk. This monograph offers a method for constructing an estimate of city risk shares, designed to perform well across a wide range of threat scenarios and risk types. It also proposes and demonstrates a framework for comparing the performance of alternative risk estimates given uncertainty in measuring the elements of risk. Finally, it makes five recommendations for improving the allocation of homeland security resources: DHS should consistently define terrorism risk in terms of expected annual consequences; DHS should seek robust risk estimators that account for uncertainty about terrorism risk and variance in citizen values; DHS should develop event-based models of terrorism risk; until reliable event-based models are constructed, DHS should use density-weighted population rather than population as a simple risk indicator; and DHS should fund research to bridge the gap between terrorism risk assessment and resource allocation policies that are cost-effective.
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"RAND Center for Terrorism Risk Management Policy."

Includes bibliographical references (p. 63-66).

Introduction -- Terrorism Risk and Its Components -- Accounting for Uncertainty and Values in Terrorism Risk Assessment -- Two Approaches to Estimating Terrorism Risk in Urban Areas -- Evaluating the Performance of Different Estimates of Terrorism Risk -- Conclusions and Recommendations -- Appendix: Supporting Figures and Table.

The Department of Homeland Security (DHS) is responsible for protecting the United States from terrorism. It achieves this goal partly through the Urban Areas Security Initiative, which allocates resources to states and urban areas. Until DHS can know the effectiveness of available risk-reduction alternatives or determine reasonable minimum standards for community preparedness, allocating homeland security resources based on risk is the next best approach; areas at higher risk are likely to have more and larger opportunities for risk reduction than areas at lower risk. This monograph offers a method for constructing an estimate of city risk shares, designed to perform well across a wide range of threat scenarios and risk types. It also proposes and demonstrates a framework for comparing the performance of alternative risk estimates given uncertainty in measuring the elements of risk. Finally, it makes five recommendations for improving the allocation of homeland security resources: DHS should consistently define terrorism risk in terms of expected annual consequences; DHS should seek robust risk estimators that account for uncertainty about terrorism risk and variance in citizen values; DHS should develop event-based models of terrorism risk; until reliable event-based models are constructed, DHS should use density-weighted population rather than population as a simple risk indicator; and DHS should fund research to bridge the gap between terrorism risk assessment and resource allocation policies that are cost-effective.

Also available on the internet via WWW in PDF format.

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