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An ex-post assessment of a passenger demand forecast of an airport

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  • Profillidis, V.Α.

Abstract

This paper considers some of the ex-post ways for assessing air transport forecasts focusing in particular on time-trend analysis and econometric modeling using Rhodes Airport in Greece as an example.

Suggested Citation

  • Profillidis, V.Α., 2012. "An ex-post assessment of a passenger demand forecast of an airport," Journal of Air Transport Management, Elsevier, vol. 25(C), pages 47-49.
    • Handle: RePEc:eee:jaitra:v:25:y:2012:i:c:p:47-49
    DOI: 10.1016/j.jairtraman.2012.08.002
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    References listed on IDEAS

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    1. Profillidis, V.A, 2000. "Econometric and fuzzy models for the forecast of demand in the airport of Rhodes," Journal of Air Transport Management, Elsevier, vol. 6(2), pages 95-100.
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    Cited by:

    1. Guo Rui & Zhong Zhaowei, 2017. "Forecasting the Air Passenger Volume in Singapore: An Evaluation of TimeSeries Models," International Journal of Technology and Engineering Studies, PROF.IR.DR.Mohid Jailani Mohd Nor, vol. 3(3), pages 117-123.
    2. S. M. Phyoe & Y. X. Lee & Z. W. Zhong, 2016. "Determining the Future Demand: Studies for Air Traffic Forecasting," International Journal of Technology and Engineering Studies, PROF.IR.DR.Mohid Jailani Mohd Nor, vol. 2(3), pages 83-86.
    3. Ryazanov Vlas, 2013. "Air mobility of people and airport growth potential in regions of Russia," Bulletin of Geography. Socio-economic Series, Sciendo, vol. 22(22), pages 97-110, December.
    4. Wang, Sen & Gao, Yi, 2021. "A literature review and citation analyses of air travel demand studies published between 2010 and 2020," Journal of Air Transport Management, Elsevier, vol. 97(C).
    5. Gunter, Ulrich & Zekan, Bozana, 2021. "Forecasting air passenger numbers with a GVAR model," Annals of Tourism Research, Elsevier, vol. 89(C).

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