Evaluating the reliability of emergency response systems for large-scale incident operations

The ability to measure emergency preparedness - to predict the likely performance of emergency response systems in future events - is critical for policy analysis in homeland security. Yet it remains difficult to know how prepared a response system is to deal with large-scale incidents, whether it b...

Full description

Main Author: Jackson, Brian A.
Corporate Authors: United States Federal Emergency Management Agency, RAND Homeland Security and Defense Center, Rand Corporation National Security Research Division, Rand Infrastructure, Safety, and Environment (Organization)
Other Authors: Faith, Kay Sullivan, Willis, Henry H.
Format: eBook
Language:English
Published: Santa Monica, CA RAND 2010, 2010
Series:RAND Corporation monograph series
Subjects:
Online Access:
Collection: JSTOR Open Access Books - Collection details see MPG.ReNa
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245 0 0 |a Evaluating the reliability of emergency response systems for large-scale incident operations  |h Elektronische Ressource  |c Brian A. Jackson, Kay Sullivan Faith, Henry H. Willis 
260 |a Santa Monica, CA  |b RAND  |c 2010, 2010 
300 |a xxiv, 199 pages, 1 flowchart  |b illustrations (chiefly color) 
505 0 |a Includes bibliographical references (pages 187-199) 
505 0 |a Measurement and emergency preparedness -- Defining and demonstrating response reliability analysis -- Describing a chlorine release scenario and relevant response parameters -- A simplified model of an emergency response to a chlorine release -- Exploring what can go wrong during a chlorine response operation: identifying relevant failure modes -- Assessing the probability, effects, and severity of failure modes: an exploratory analysis using response after-action reports -- Concluding observations -- Appendix A: Approximating response reliability curves -- Appendix B: Correspondence between the chlorine response model used in this analysis and other ways of categorizing or organizing response operations -- Appendix C: Description of components of the RAND Chlorine Response Model not covered in the text -- Appendix D: Failure trees for all elements of the response model -- Appendix E: Counts of failure modes identified per analyzed after-action report -- Appendix F: Li 
651 4 |a United States 
653 |a Emergency communication systems 
653 |a Incident command systems 
653 |a Assistance in emergencies 
653 |a Emergency management / Evaluation 
653 |a SOCIAL SCIENCE / Disasters & Disaster Relief 
700 1 |a Faith, Kay Sullivan 
700 1 |a Willis, Henry H. 
710 2 |a United States  |b Federal Emergency Management Agency 
710 2 |a RAND Homeland Security and Defense Center 
710 2 |a Rand Corporation  |b National Security Research Division 
710 2 |a Rand Infrastructure, Safety, and Environment (Organization) 
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520 |a The ability to measure emergency preparedness - to predict the likely performance of emergency response systems in future events - is critical for policy analysis in homeland security. Yet it remains difficult to know how prepared a response system is to deal with large-scale incidents, whether it be a natural disaster, terrorist attack, or industrial or transportation accident. This research draws on the fields of systems analysis and engineering to apply the concept of system reliability to the evaluation of emergency response systems. The authors describe a method for modeling an emergency response system; identifying how individual parts of the system might fail; and assessing the likelihood of each failure and the severity of its effects on the overall response effort. The authors walk the reader through two applications of this method: a simplified example in which responders must deliver medical treatment to a certain number of people in a specified time window, and a more complex scenario involving the release of chlorine gas. The authors also describe an exploratory analysis in which they parsed a set of after-action reports describing real-world incidents, to demonstrate how this method can be used to quantitatively analyze data on past response performance. The authors conclude with a discussion of how this method of measuring emergency response system reliability could inform policy discussion of emergency preparedness, how system reliability might be improved, and the costs of doing so. --From publisher description