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Insights for Critical Alarm-Based Warning Systems from a Risk Analysis of Commercial Aviation Passenger Screening

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Listed:
  • Robin L. Dillon

    (McDonough School of Business, Georgetown University, Washington, DC 20057)

  • William J. Burns

    (Decision Research, Eugene, Oregon 97407; California State University, San Marcos, San Marcos, California 92096)

  • Richard S. John

    (University of Southern California, Los Angeles, California 90089)

Abstract

The Transportation Security Administration (TSA) recently commissioned a risk analysis of the passenger threat vector in which an adversary gains access through the screening checkpoint. The goal of the project was to provide insights to the TSA to improve both safety and resource allocation as they continue to develop new security procedures in a constantly evolving threat environment. The result was a probabilistic risk model to support the TSA as they plan future safety and resource allocations procedures. Because aviation passenger screening involves highly sensitive information, we discuss the insights gained from the study that are applicable for other highly critical security systems that rely on alarm-based warning technologies to detect anomalies.

Suggested Citation

  • Robin L. Dillon & William J. Burns & Richard S. John, 2018. "Insights for Critical Alarm-Based Warning Systems from a Risk Analysis of Commercial Aviation Passenger Screening," Decision Analysis, INFORMS, vol. 15(3), pages 154-173, September.
    • Handle: RePEc:inm:ordeca:v:15:y:2018:i:3:p:154-173
    DOI: 10.1287/deca.2018.0369
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    References listed on IDEAS

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    Cited by:

    1. Robin L. Dillon & Vicki M. Bier & Richard Sheffield John & Abdullah Althenayyan, 2023. "Closing the Gap Between Decision Analysis and Policy Analysts Before the Next Pandemic," Decision Analysis, INFORMS, vol. 20(2), pages 109-132, June.
    2. Vicki M. Bier & Simon French, 2020. "From the Editors: Decision Analysis Focus and Trends," Decision Analysis, INFORMS, vol. 17(1), pages 1-8, March.

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