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Econometric and fuzzy models for the forecast of demand in the airport of Rhodes

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  • Profillidis, V.A

Abstract

In this paper, econometric and fuzzy methods of forecasting airport demand are suggested, in relation to the airport of Rhodes. First, the relationship between transport and economic activity is analyzed. The appropriate models for demand forecast for tourist airports with high seasonal demands are analyzed. Market surveys, statistical methods, econometric models and the fuzzy method are used to establish relationships important of the future demand for airport services.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:jaitra:v:6:y:2000:i:2:p:95-100
    DOI: 10.1016/S0969-6997(99)00026-5
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    Citations

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    Cited by:

    1. Kemal Selçuk Öğüt, 2006. "Modeling Car Ownership in Turkey Using Fuzzy Regression," Transportation Planning and Technology, Taylor & Francis Journals, vol. 29(3), pages 233-248, March.
    2. 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.
    3. Tsui, Wai Hong Kan & Fung, Michael Ka Yiu, 2016. "Analysing passenger network changes: The case of Hong Kong," Journal of Air Transport Management, Elsevier, vol. 50(C), pages 1-11.
    4. Wadud, Zia, 2014. "The asymmetric effects of income and fuel price on air transport demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 65(C), pages 92-102.
    5. Beria, Paolo & Laurino, Antonio, 2016. "Determinants of daily fluctuations in air passenger volumes. The effect of events and holidays on Milan Malpensa airport," Journal of Air Transport Management, Elsevier, vol. 53(C), pages 73-84.
    6. Carson, Richard T. & Cenesizoglu, Tolga & Parker, Roger, 2011. "Forecasting (aggregate) demand for US commercial air travel," International Journal of Forecasting, Elsevier, vol. 27(3), pages 923-941.
    7. 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.
    8. Gunter, Ulrich & Zekan, Bozana, 2021. "Forecasting air passenger numbers with a GVAR model," Annals of Tourism Research, Elsevier, vol. 89(C).
    9. 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.
    10. Saab, Samer S. & Zouein, Pierrette P., 2001. "Forecasting passenger load for a fixed planning horizon," Journal of Air Transport Management, Elsevier, vol. 7(6), pages 361-372.
    11. Tolebi Sailauov & Z. W. Zhong, 2017. "Air Traffic Forecasting Using Optimization for Econometric Models," International Journal of Technology and Engineering Studies, PROF.IR.DR.Mohid Jailani Mohd Nor, vol. 3(5), pages 197-203.
    12. Kağan Albayrak, Muhammed Bilge & Özcan, İsmail Çağrı & Can, Raif & Dobruszkes, Frédéric, 2020. "The determinants of air passenger traffic at Turkish airports," Journal of Air Transport Management, Elsevier, vol. 86(C).
    13. Warnock-Smith, David & O’Connell, John F., 2011. "The impact of air policy on incoming tourist traffic: the contrasting cases of the Caribbean Community and the Middle-East," Journal of Transport Geography, Elsevier, vol. 19(2), pages 265-274.
    14. Opreana Alin & Țichindelean Mihai & Mihaiu Diana Marieta & Tileagă Cosmin, 2019. "Forecasting Passenger Traffic For A Regional Airport," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 14(2), pages 105-114, August.
    15. Güner, Samet & Cebeci, Halil İbrahim, 2021. "Output targeting and capacity utilization for a new-built airport: Analysis for the new airport in Istanbul," Socio-Economic Planning Sciences, Elsevier, vol. 76(C).
    16. Scarpel, Rodrigo Arnaldo, 2013. "Forecasting air passengers at São Paulo International Airport using a mixture of local experts model," Journal of Air Transport Management, Elsevier, vol. 26(C), pages 35-39.
    17. Scarpel, Rodrigo Arnaldo, 2015. "An integrated mixture of local experts model for demand forecasting," International Journal of Production Economics, Elsevier, vol. 164(C), pages 35-42.
    18. Wadud, Zia, 2015. "Imperfect reversibility of air transport demand: Effects of air fare, fuel prices and price transmission," Transportation Research Part A: Policy and Practice, Elsevier, vol. 72(C), pages 16-26.

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