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OLS Field Name OLS Field Data
Main Title Estimating terrorism risk /
Other Authors
Author Title of a Work
Willis, Henry H.
Publisher RAND,
Year Published 2005
OCLC Number 61453898
ISBN 0833038346; 9780833038340; 0833040936; 9780833040930
Subjects Terrorism--United States--Prevention. ; Terrorism--Risk assessment--United States. ; Federal aid to terrorism prevention--United States--Planning.
Internet Access
Description Access URL
ebrary http://site.ebrary.com/id/10152592
Library Call Number Additional Info Location Last
EJBM  HV6432.E78 2005 Headquarters Library/Washington,DC 11/18/2005
Collation xxiii, 66 pages : illustrations ; 23 cm.
Notes "MG-388-RC"--Page 4 of cover. Includes bibliographical references (pages 63-66).
Contents Notes 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. 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.
Place Published Santa Monica, CA :
Corporate Au Added Ent Rand Corporation.
PUB Date Free Form 2005.
BIB Level m
Cataloging Source OCLC/T
LCCN 2005024093
Merged OCLC records 171127264; 962899334; 977712673; 993051823; 993096143; 1001811679; 1011923897
OCLC Time Stamp 20051115152625
Language eng
Origin OCLC
Type CAT
OCLC Rec Leader 01322cam 22003378a 45020