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Analyzing airport security checkpoint performance using cognitive agent models

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  • Knol, Arthur
  • Sharpanskykh, Alexei
  • Janssen, Stef

Abstract

Modern airports operate under high demands and pressures, and strive to satisfy many diverse, interrelated, sometimes conflicting performance goals. Airport performance areas, such as security, safety, and efficiency are usually studied separately from each other. However, operational decisions made by airport managers often impact several areas simultaneously. Current knowledge on how different performance areas are related to each other is limited. This paper contributes to filling this gap by identifying and quantifying relations and trade-offs between the detection performance of illegal items and the average queuing time at airport security checkpoints. These relations and trade-offs were analyzed by simulations with a cognitive agent model of airport security checkpoint operations. By simulation analysis a security checkpoint performance curve with three different regions was identified. Furthermore, the importance of focus on accuracy for a security operator is shown. The results of the simulation studies were related to empirical research at an existing regional airport.

Suggested Citation

  • Knol, Arthur & Sharpanskykh, Alexei & Janssen, Stef, 2019. "Analyzing airport security checkpoint performance using cognitive agent models," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 39-50.
  • Handle: RePEc:eee:jaitra:v:75:y:2019:i:c:p:39-50
    DOI: 10.1016/j.jairtraman.2018.11.003
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    References listed on IDEAS

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    Cited by:

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    2. Stef Janssen & Alexei Sharpanskykh & Richard Curran, 2019. "AbSRiM: An Agent‐Based Security Risk Management Approach for Airport Operations," Risk Analysis, John Wiley & Sons, vol. 39(7), pages 1582-1596, July.
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    5. Isaac Levi Henderson & Mark Avis & Wai Hong Kan Tsui & Thanh Ngo & Andrew Gilbey, 2023. "Compound Brands and the Multi-Creation of Brand Associations: Evidence from Airports and Shopping Malls," Sustainability, MDPI, vol. 15(2), pages 1-21, January.

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