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The cost of airport security: The passenger dilemma

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  • Kirschenbaum, Alan (Avi)

Abstract

The cost of providing security in airports, especially in facilitating passenger throughput, has risen despite efforts to upgrade training and technology. The classic measure of passenger throughput assumes passengers are passive cogs in a carefully designed security matrix to optimize output. This perspective does not take into account passenger behavior, especially passenger negotiations during the screening process. To both clarify this social contextual process and estimate its differential costs on security screening, a case study emergent from the BEMOSA research project was arranged in an airport where both an ethnographic and ‘time-motion’ study were conducted. The results clearly showed the extent of negotiations that take place and the type of passenger most associated with delays in the “ideal†throughput scenario. Calculating direct costs of manpower associated with security screening of passengers and the different throughput times led to the conclusion that even though the “good passengers†, those who pass through the security process in the minimum time, are the bulk of passenger throughput, “problematic†passengers who negotiate make up the bulk of the costs. These findings highlight the dilemma faced by security managers but also provide a window of opportunity to seek appropriate solutions.

Suggested Citation

  • Kirschenbaum, Alan (Avi), 2013. "The cost of airport security: The passenger dilemma," Journal of Air Transport Management, Elsevier, vol. 30(C), pages 39-45.
  • Handle: RePEc:eee:jaitra:v:30:y:2013:i:c:p:39-45
    DOI: 10.1016/j.jairtraman.2013.05.002
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    References listed on IDEAS

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    1. Huseyin Cavusoglu & Byungwan Koh & Srinivasan Raghunathan, 2010. "An Analysis of the Impact of Passenger Profiling for Transportation Security," Operations Research, INFORMS, vol. 58(5), pages 1287-1302, October.
    2. Jascha Hoffman, 2008. "How faces share feelings," Nature, Nature, vol. 452(7186), pages 413-413, March.
    3. Laura A. McLay & Adrian J. Lee & Sheldon H. Jacobson, 2010. "Risk-Based Policies for Airport Security Checkpoint Screening," Transportation Science, INFORMS, vol. 44(3), pages 333-349, August.
    4. Kirschenbaum, Alan (Avi) & Mariani, Michele & Van Gulijk, Coen & Lubasz, Sharon & Rapaport, Carmit & Andriessen, Hinke, 2012. "Airport security: An ethnographic study," Journal of Air Transport Management, Elsevier, vol. 18(1), pages 68-73.
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    Cited by:

    1. 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.
    2. Kierzkowski, Artur & Kisiel, Tomasz, 2017. "Simulation model of security control system functioning: A case study of the Wroclaw Airport terminal," Journal of Air Transport Management, Elsevier, vol. 64(PB), pages 173-185.
    3. Skorupski, Jacek & Uchroński, Piotr, 2017. "A fuzzy model for evaluating metal detection equipment at airport security screening checkpoints," International Journal of Critical Infrastructure Protection, Elsevier, vol. 16(C), pages 39-48.
    4. Skorupski, Jacek & Uchroński, Piotr, 2020. "Multi-criteria group decision-making approach to the modernization of hold baggage security screening system at an airport," Journal of Air Transport Management, Elsevier, vol. 87(C).
    5. Chiti, Francesco & Fantacci, Romano & Rizzo, Andrea, 2018. "An integrated software platform for airport queues prediction with application to resources management," Journal of Air Transport Management, Elsevier, vol. 67(C), pages 11-18.

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