Evaluating predictability based on gate-in fuel prediction and cost-to-carry estimation

Predictability in the aviation system affects costs to airlines and passengers. The authors propose a predictability metric based on a flight's gate-in fuel (GIF) which can be directly measured and monetized by aviation stakeholders. They estimate GIF for six major U.S. airlines. Since GIF data are not directly available, the authors develop an estimation methodology to obtain GIF from pushback weight and fuel burn, including a conversion from passenger to weight payload based on an econometric model. The methodology accounts for aircraft operating empty weight and payload. The authors find that GIF varies across airlines and time of year, and is highest during the summer period. They monetize GIF through a cost-to-carry analysis as extra fuel loading results in additional fuel burn. The estimates reveal that, in 2012, airlines spent an additional $59 million to $667 million on carrying GIF, with a total across all six airlines of $1.46 billion.

Language

  • English

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Filing Info

  • Accession Number: 01668888
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Feb 14 2018 5:00PM