Modeling Terrorism Risk to the Air Transportation System

An Independent Assessment of TSA's Risk Management Analysis Tool and Associated Methods

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Last edited by MARC Bot
September 6, 2024 | History

Modeling Terrorism Risk to the Air Transportation System

An Independent Assessment of TSA's Risk Management Analysis Tool and Associated Methods

RAND evaluated a terrorism risk modeling tool developed by the Transportation Security Administration and Boeing to help guide program planning for aviation security. This tool, the Risk Management Analysis Tool, or RMAT, is used by TSA to estimate the terrorism risk-reduction benefits attributable to new and existing security programs, technologies, and procedures. RMAT simulates terrorist behavior and success in attacking vulnerabilities in the domestic commercial air transportation system, drawing on estimates of terrorist resources, capabilities, preferences, decision processes, intelligence collection, and operational planning. It describes how the layers of security protecting the air transportation system are likely to perform when confronted by more than 60 types of attacks, drawing on detailed blast and other physical modeling to understand the damage produced by different weapons and attacks, and calculating expected loss of life and the direct and indirect economic consequences of that damage. This report describes RAND's conclusions about the validity of RMAT for TSA's intended uses and its recommendations for how TSA should perform cost-benefit analyses of its security programs.

Publish Date
Publisher
RAND Corporation
Pages
168

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Book Details


Edition Notes

Source title: Modeling Terrorism Risk to the Air Transportation System: An Independent Assessment of TSA's Risk Management Analysis Tool and Associated Methods (Rand Corporation Monograph)

Classifications

Library of Congress
HV6432 .M6 2012, HV6432.M6 2012

The Physical Object

Format
paperback
Number of pages
168

ID Numbers

Open Library
OL27609125M
ISBN 10
083307685X
ISBN 13
9780833076854
LCCN
2012953351
OCLC/WorldCat
825197993
Amazon ID (ASIN)
083307685X

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History

Download catalog record: RDF / JSON / OPDS | Wikipedia citation
September 6, 2024 Edited by MARC Bot import existing book
October 12, 2023 Edited by ImportBot import existing book
September 18, 2021 Edited by ImportBot import existing book
November 13, 2020 Edited by MARC Bot import existing book
November 2, 2019 Created by ImportBot Imported from amazon.com record