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The On-Time Machines: Some Analyses of Airline Punctuality

Author

Listed:
  • Jonathan P. Caulkins

    (Carnegie Mellon University, Pittsburgh, Pennsylvania)

  • Arnold Barnett

    (Massachusetts Institute of Technology, Cambridge, Massachusetts)

  • Patrick D. Larkey

    (Carnegie Mellon University, Pittsburgh, Pennsylvania)

  • Yuehong Yuan

    (Carnegie Mellon University, Pittsburgh, Pennsylvania)

  • Jesse Goranson

    (Massachusetts Institute of Technology, Cambridge, Massachusetts)

Abstract

The Department of Transportation (DOT) rates commercial airlines' on-time performance every month, but its ratings may unfairly penalize airlines that disproportionately fly into airports at which it is inherently more difficult to land in on-time. We propose several rating methods that we consider more equitable and apply them to 36 months of DOT data. Rating airlines' promptness is an example of the more general problem of evaluating players who compete in overlapping but not identical sets of tournaments, where there is no exogenous knowledge about the quality of the players or the “difficulty” of the tournaments.

Suggested Citation

  • Jonathan P. Caulkins & Arnold Barnett & Patrick D. Larkey & Yuehong Yuan & Jesse Goranson, 1993. "The On-Time Machines: Some Analyses of Airline Punctuality," Operations Research, INFORMS, vol. 41(4), pages 710-720, August.
    • Handle: RePEc:inm:oropre:v:41:y:1993:i:4:p:710-720
    DOI: 10.1287/opre.41.4.710
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    Citations

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    Cited by:

    1. Scott E. Atkinson & Kamalini Ramdas & Jonathan W. Williams, 2016. "Robust Scheduling Practices in the U.S. Airline Industry: Costs, Returns, and Inefficiencies," Management Science, INFORMS, vol. 62(11), pages 3372-3391, November.
    2. Mazhar Arıkan & Vinayak Deshpande & Milind Sohoni, 2013. "Building Reliable Air-Travel Infrastructure Using Empirical Data and Stochastic Models of Airline Networks," Operations Research, INFORMS, vol. 61(1), pages 45-64, February.
    3. Connolly Robert A. & Rendleman Richard J., 2011. "Going for the Green: A Simulation Study of Qualifying Success Probabilities in Professional Golf," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(4), pages 1-50, October.

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