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Safe At Home? An Experiment in Domestic Airline Security

Author

Listed:
  • Arnold Barnett

    (Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139)

  • Robert Shumsky

    (University of Rochester, Rochester, New York 14627)

  • Mark Hansen

    (Department of Civil Engineering, University of California at Berkeley, Berkeley, California 94720)

  • Amedeo Odoni

    (Department of Aeronautical and Astronautical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139)

  • Geoffrey Gosling

    (Department of Civil Engineering, University of California at Berkeley, Berkeley, California 94720)

Abstract

The paper describes a scientific experiment about a contentious policy issue: What costs and disruptions might arise if U.S. domestic airlines adopted positive passenger bag-match (PPBM), an antiterrorist measure aimed at preventing baggage unaccompanied by passengers from traveling in aircraft luggage compartments? The heart of the effort was a two-week live test of domestic bag-match that involved 11 airlines, 8,000 flights, and nearly 750,000 passengers. Working with the Federal Aviation Administration, the authors played a major role in designing, monitoring, and analyzing the live test. However, the live test provided “raw materials” for an assessment of PPBM rather than the assessment itself. As we discuss, there are difficulties in extrapolating from a short experiment involving 4% of domestic flights to the steady-state consequences of systemwide bag-match.Our findings challenge the widely held industry view that PPBM would have grave impacts on domestic operations. We ultimately estimated that, under usual operating conditions, PPBM would delay domestic departures by an average of approximately 1 minute per flight. (Approximately one-seventh of flights would suffer bag-match departure delays, which would average about 7 minutes apiece.) Implementing bag-match would cost the airlines roughly 40 cents per passenger enplanement, and would require virtually no reduction in the number of flights performed. Restricting bag-match to 5% of passengers chosen under a security profile would cut these delays by about 75% and these dollar costs by about 50%.

Suggested Citation

  • Arnold Barnett & Robert Shumsky & Mark Hansen & Amedeo Odoni & Geoffrey Gosling, 2001. "Safe At Home? An Experiment in Domestic Airline Security," Operations Research, INFORMS, vol. 49(2), pages 181-195, April.
  • Handle: RePEc:inm:oropre:v:49:y:2001:i:2:p:181-195
    DOI: 10.1287/opre.49.2.181.13529
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    Citations

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    Cited by:

    1. Bell, John E. & Griffis, Stanley E. & Cunningham III, William A. & Eberlan, Jon A., 2011. "Location optimization of strategic alert sites for homeland defense," Omega, Elsevier, vol. 39(2), pages 151-158, April.
    2. Lindelauf, R. & Borm, P.E.M. & Hamers, H.J.M., 2010. "One-Mode Projection Analysis and Design of Covert Affiliation Networks," Other publications TiSEM 22cf26dc-7fbc-431d-967f-c, Tilburg University, School of Economics and Management.
    3. Gayle, Philip G. & Yimga, Jules O., 2018. "How much do consumers really value air travel on-time performance, and to what extent are airlines motivated to improve their on-time performance?," Economics of Transportation, Elsevier, vol. 14(C), pages 31-41.
    4. 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.
    5. Alexander G. Nikolaev & Sheldon H. Jacobson & Laura A. McLay, 2007. "A Sequential Stochastic Security System Design Problem for Aviation Security," Transportation Science, INFORMS, vol. 41(2), pages 182-194, May.
    6. Yan, Xihong & Ren, Xiaorong & Nie, Xiaofeng, 2022. "A budget allocation model for domestic airport network protection," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    7. Kamalini Ramdas & Jonathan Williams & Marc Lipson, 2013. "Can Financial Markets Inform Operational Improvement Efforts? Evidence from the Airline Industry," Manufacturing & Service Operations Management, INFORMS, vol. 15(3), pages 405-422, July.
    8. P. Daniel Wright & Matthew J. Liberatore & Robert L. Nydick, 2006. "A Survey of Operations Research Models and Applications in Homeland Security," Interfaces, INFORMS, vol. 36(6), pages 514-529, December.

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