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A multilevel passenger screening problem for aviation security

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  • Laura A. McLay
  • Sheldon H. Jacobson
  • John E. Kobza

Abstract

Passenger prescreening is a critical component of aviation security systems. This paper introduces the Multilevel Allocation Problem (MAP), which models the screening of passengers and baggage in a multilevel aviation security system. A passenger is screened by one of several classes, each of which corresponds to a set of procedures using security screening devices, where passengers are differentiated by their perceived risk levels. Each class is defined in terms of its fixed cost (the overhead costs), its marginal cost (the additional cost to screen a passenger), and its security level. The objective of MAP is to assign each passenger to a class such that the total security is maximized subject to passenger assignments and budget constraints. This paper shows that MAP is NP‐hard and introduces a Greedy heuristic that obtains approximate solutions to MAP that use no more than two classes. Examples are constructed using data extracted from the Official Airline Guide. Analysis of the examples suggests that fewer security classes for passenger screening may be more effective and that using passenger risk information can lead to more effective security screening strategies. © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2006

Suggested Citation

  • Laura A. McLay & Sheldon H. Jacobson & John E. Kobza, 2006. "A multilevel passenger screening problem for aviation security," Naval Research Logistics (NRL), John Wiley & Sons, vol. 53(3), pages 183-197, April.
    • Handle: RePEc:wly:navres:v:53:y:2006:i:3:p:183-197
    DOI: 10.1002/nav.20131
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    References listed on IDEAS

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    Cited by:

    1. Wang, Xiaofang & Zhuang, Jun, 2011. "Balancing congestion and security in the presence of strategic applicants with private information," European Journal of Operational Research, Elsevier, vol. 212(1), pages 100-111, July.
    2. 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.
    3. Ajay Sudharshan Satish & Akul Mangal & Prathamesh Churi, 2023. "A systematic review of passenger profiling in airport security system: Taking a potential case study of CAPPS II," Journal of Transportation Security, Springer, vol. 16(1), pages 1-41, December.
    4. Yan, Xihong & Ren, Xiaorong & Nie, Xiaofeng, 2022. "A budget allocation model for domestic airport network protection," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    5. Aishvarya Kumar Jain & Jaap de Ruiter & Ivo Häring & Mirjam Fehling-Kaschek & Alexander Stolz, 2023. "Design, Simulation and Performance Evaluation of a Risk-Based Border Management System," Sustainability, MDPI, vol. 15(17), pages 1-21, August.
    6. Sushil Gupta & Martin K. Starr & Reza Zanjirani Farahani & Mahsa Mahboob Ghodsi, 2020. "Prevention of Terrorism–An Assessment of Prior POM Work and Future Potentials," Production and Operations Management, Production and Operations Management Society, vol. 29(7), pages 1789-1815, July.
    7. Xiaofeng Nie & Rajan Batta & Colin G. Drury & Li Lin, 2009. "The Impact of Joint Responses of Devices in an Airport Security System," Risk Analysis, John Wiley & Sons, vol. 29(2), pages 298-311, February.
    8. Yonghua Ji & Subodha Kumar & Vijay Mookerjee, 2016. "When Being Hot Is Not Cool: Monitoring Hot Lists for Information Security," Information Systems Research, INFORMS, vol. 27(4), pages 897-918, December.
    9. Kyle Y. Lin & Moshe Kress & Roberto Szechtman, 2009. "Scheduling policies for an antiterrorist surveillance system," Naval Research Logistics (NRL), John Wiley & Sons, vol. 56(2), pages 113-126, March.

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