Literature DB >> 19187486

Risk-based decision making for terrorism applications.

Robin L Dillon1, Robert M Liebe, Thomas Bestafka.   

Abstract

This article describes the anti-terrorism risk-based decision aid (ARDA), a risk-based decision-making approach for prioritizing anti-terrorism measures. The ARDA model was developed as part of a larger effort to assess investments for protecting U.S. Navy assets at risk and determine whether the most effective anti-terrorism alternatives are being used to reduce the risk to the facilities and war-fighting assets. With ARDA and some support from subject matter experts, we examine thousands of scenarios composed of 15 attack modes against 160 facility types on two installations and hundreds of portfolios of 22 mitigation alternatives. ARDA uses multiattribute utility theory to solve some of the commonly identified challenges in security risk analysis. This article describes the process and documents lessons learned from applying the ARDA model for this application.

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Year:  2009        PMID: 19187486     DOI: 10.1111/j.1539-6924.2008.01196.x

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  3 in total

1.  Ten most important accomplishments in risk analysis, 1980-2010.

Authors:  Michael Greenberg; Charles Haas; Anthony Cox; Karen Lowrie; Katherine McComas; Warner North
Journal:  Risk Anal       Date:  2012-05       Impact factor: 4.000

2.  How People Understand Risk Matrices, and How Matrix Design Can Improve their Use: Findings from Randomized Controlled Studies.

Authors:  Holly Sutherland; Gabriel Recchia; Sarah Dryhurst; Alexandra L J Freeman
Journal:  Risk Anal       Date:  2021-09-14       Impact factor: 4.302

3.  Modeling and Risk Analysis of Chemical Terrorist Attacks: A Bayesian Network Method.

Authors:  Rongchen Zhu; Xiaofeng Hu; Xin Li; Han Ye; Nan Jia
Journal:  Int J Environ Res Public Health       Date:  2020-03-19       Impact factor: 3.390

  3 in total

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