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The impact of aviation checkpoint queues on optimizing security screening effectiveness

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  • Lee, Adrian J.
  • Jacobson, Sheldon H.

Abstract

Passenger screening at aviation security checkpoints is a critical component in protecting airports and aircraft from terrorist threats. Recent developments in screening device technology have increased the ability to detect these threats; however, the average amount of time it takes to screen a passenger still remains a concern. This paper models the queueing process for a multi-level airport checkpoint security system, where multiple security classes are formed through subsets of specialized screening devices. An optimal static assignment policy is obtained which minimizes the steady-state expected amount of time a passenger spends in the security system. Then, an optimal dynamic assignment policy is obtained through a transient analysis that balances the expected number of true alarms with the expected amount of time a passenger spends in the security system. Performance of a two-class system is compared to that of a selective security system containing primary and secondary levels of screening. The key contribution is that the resulting optimal assignment policies increase security and passenger throughput by efficiently and effectively utilizing available screening resources.

Suggested Citation

  • Lee, Adrian J. & Jacobson, Sheldon H., 2011. "The impact of aviation checkpoint queues on optimizing security screening effectiveness," Reliability Engineering and System Safety, Elsevier, vol. 96(8), pages 900-911.
  • Handle: RePEc:eee:reensy:v:96:y:2011:i:8:p:900-911
    DOI: 10.1016/j.ress.2011.03.011
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    References listed on IDEAS

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    1. Nie, Xiaofeng & Batta, Rajan & Drury, Colin G. & Lin, Li, 2009. "Passenger grouping with risk levels in an airport security system," European Journal of Operational Research, Elsevier, vol. 194(2), pages 574-584, April.
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    6. Feng, Qianmei & Sahin, Hande & Kapur, Kailash C., 2009. "Designing airport checked-baggage-screening strategies considering system capability and reliability," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 618-627.
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    Citations

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    Cited by:

    1. Hainen, Alexander M. & Remias, Stephen M. & Bullock, Darcy M. & Mannering, Fred L., 2013. "A hazard-based analysis of airport security transit times," Journal of Air Transport Management, Elsevier, vol. 32(C), pages 32-38.
    2. Mark G. Stewart & John Mueller, 2017. "Risk and economic assessment of expedited passenger screening and TSA PreCheck," Journal of Transportation Security, Springer, vol. 10(1), pages 1-22, June.
    3. Mark G. Stewart & John Mueller, 2018. "Risk and economic assessment of U.S. aviation security for passenger-borne bomb attacks," Journal of Transportation Security, Springer, vol. 11(3), pages 117-136, December.
    4. Nie, Xiaofeng, 2019. "The impact of conditional dependence on checked baggage screening," European Journal of Operational Research, Elsevier, vol. 278(3), pages 883-893.
    5. Kalakou, Sofia & Psaraki-Kalouptsidi, Voula & Moura, Filipe, 2015. "Future airport terminals: New technologies promise capacity gains," Journal of Air Transport Management, Elsevier, vol. 42(C), pages 203-212.
    6. Skorupski, Jacek & Uchroński, Piotr, 2018. "Evaluation of the effectiveness of an airport passenger and baggage security screening system," Journal of Air Transport Management, Elsevier, vol. 66(C), pages 53-64.
    7. Cen Song & Jun Zhuang, 2017. "Two-stage security screening strategies in the face of strategic applicants, congestions and screening errors," Annals of Operations Research, Springer, vol. 258(2), pages 237-262, November.
    8. Hunt, Kyle & Agarwal, Puneet & Zhuang, Jun, 2021. "Technology adoption for airport security: Modeling public disclosure and secrecy in an attacker-defender game," Reliability Engineering and System Safety, Elsevier, vol. 207(C).

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