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Small community airport choice behavior analysis: A case study of GTR

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  • Zhang, Yunlong
  • Xie, Yuanchang

Abstract

The issue of airport selection attracts considerable attention. However, most studies focus on using advanced discrete choice models to analyze airport choice behavior in metropolitan areas with several closely located, competing airports. This paper addresses passengers’ choice behavior in selecting between local small community airports and more distant major commercial airport. It looks at factors affecting air travelers’ airport choice behavior in cities with small community air service. Data relating to the Golden Triangle Regional Airport in Mississippi is used in logistic regressions to identify the key factors that influence air travelers’ airport choices. Ticket price, experience with Golden Triangle Regional Airport and flight schedule were found to be the strongest effects.

Suggested Citation

  • Zhang, Yunlong & Xie, Yuanchang, 2005. "Small community airport choice behavior analysis: A case study of GTR," Journal of Air Transport Management, Elsevier, vol. 11(6), pages 442-447.
    • Handle: RePEc:eee:jaitra:v:11:y:2005:i:6:p:442-447
    DOI: 10.1016/j.jairtraman.2005.07.008
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    References listed on IDEAS

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    Cited by:

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    11. Stone, Matthew J., 2016. "Reliability as a factor in small community air passenger choice," Journal of Air Transport Management, Elsevier, vol. 53(C), pages 161-164.
    12. Kim, Amy M. & Ryerson, Megan S., 2018. "A long drive: Interregional airport passenger “leakage” in the U.S," Tourism Management, Elsevier, vol. 65(C), pages 237-244.
    13. Paliska, Dejan & Drobne, Samo & Borruso, Giuseppe & Gardina, Massimo & Fabjan, Daša, 2016. "Passengers' airport choice and airports' catchment area analysis in cross-border Upper Adriatic multi-airport region," Journal of Air Transport Management, Elsevier, vol. 57(C), pages 143-154.
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    18. Barros, Carlos P. & Bin Liang, Qi & Peypoch, Nicolas, 2013. "The efficiency of French regional airports: An inverse B-convex analysis," International Journal of Production Economics, Elsevier, vol. 141(2), pages 668-674.
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