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Air Passenger Forecasts: Principles and Practices

Author

Listed:
  • Corsi, Thomas
  • Dresner, Martin
  • Windle, Robert

Abstract

No abstract is available for this item.

Suggested Citation

  • Corsi, Thomas & Dresner, Martin & Windle, Robert, 1997. "Air Passenger Forecasts: Principles and Practices," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 36(2).
    • Handle: RePEc:ags:ndjtrf:317513
    DOI: 10.22004/ag.econ.317513
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    File URL: https://ageconsearch.umn.edu/record/317513/files/agecon-jtrf-0360.pdf
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    Citations

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    Cited by:

    1. Ahmed Abdelghany & Khaled Abdelghany & Ching-Wen Huang, 2021. "An integrated reinforced learning and network competition analysis for calibrating airline itinerary choice models with constrained demand," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(3), pages 227-247, June.
    2. Coldren, Gregory M. & Koppelman, Frank S., 2005. "Modeling the competition among air-travel itinerary shares: GEV model development," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(4), pages 345-365, May.
    3. Suzuki, Yoshinori & Tyworth, John E. & Novack, Robert A., 2001. "Airline market share and customer service quality: a reference-dependent model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(9), pages 773-788, November.
    4. Evans, Antony & Schäfer, Andreas, 2013. "The rebound effect in the aviation sector," Energy Economics, Elsevier, vol. 36(C), pages 158-165.
    5. Suh, Daniel Y. & Ryerson, Megan S., 2019. "Forecast to grow: Aviation demand forecasting in an era of demand uncertainty and optimism bias," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 400-416.

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    Keywords

    Public Economics;

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