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Dynamic analysis of air travel demand in competitive island markets

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  • Tsekeris, Theodore

Abstract

This paper describes a dynamic demand model, referred to as dynamic abstract mode model, for estimating both the short- and long-term responses of air passengers to changes in relative air-sea travel cost components in competitive markets. The implementation of the model in the competitive market of Aegean islands in Greece demonstrates the importance of considering the past volumes of air passengers and relative travel cost components to explain current air travel demand.

Suggested Citation

  • Tsekeris, Theodore, 2009. "Dynamic analysis of air travel demand in competitive island markets," Journal of Air Transport Management, Elsevier, vol. 15(6), pages 267-273.
    • Handle: RePEc:eee:jaitra:v:15:y:2009:i:6:p:267-273
    DOI: 10.1016/j.jairtraman.2008.11.008
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    Cited by:

    1. Dobruszkes, Frédéric & Vandermotten, Christian, 2022. "Do scale and the type of markets matter? Revisiting the determinants of passenger air services worldwide," Journal of Air Transport Management, Elsevier, vol. 99(C).
    2. 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.
    3. Frédéric Dobruszkes & Jean-Michel Decroly & Pere Suau-Sanchez, 2022. "The monthly rhythms of aviation: A global analysis of passenger air service seasonality," ULB Institutional Repository 2013/341140, ULB -- Universite Libre de Bruxelles.
    4. Cheung, Tommy King-Yin & Wong, Wai-hung & Zhang, Anming & Wu, Yangming, 2020. "Spatial panel model for examining airport relationships within multi-airport regions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 148-163.
    5. Plakandaras, Vasilios & Papadimitriou, Theophilos & Gogas, Periklis, 2019. "Forecasting transportation demand for the U.S. market," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 195-214.
    6. Bello, Omar & Indar, Delena & Phillips, Willard, 2016. "Towards a demand model for maritime passenger transportation in the Caribbean: a regional study of passenger ferry services," Studies and Perspectives – ECLAC Subregional Headquarters for The Caribbean 39825, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    7. Gallet, Craig A. & Doucouliagos, Hristos, 2014. "The income elasticity of air travel: A meta-analysis," Annals of Tourism Research, Elsevier, vol. 49(C), pages 141-155.
    8. Schiff, Aaron & Becken, Susanne, 2011. "Demand elasticity estimates for New Zealand tourism," Tourism Management, Elsevier, vol. 32(3), pages 564-575.
    9. Frédéric Dobruszkes & Christian Vandermotten, 2022. "Do scale and the type of markets matter? Revisiting the determinants of passenger air services worldwide," ULB Institutional Repository 2013/336304, ULB -- Universite Libre de Bruxelles.
    10. Konstantinos Rigas, 2012. "Connecting Island Regions – A Qualitative Approach to the European Experience," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 62(3-4), pages 30-53, July - De.
    11. 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.
    12. Heshmati, Almas & C. Kumbhakar, Subal & Kim, Jungsuk, 2016. "Persistent and Transient Efficiency of International Airlines," Working Paper Series in Economics and Institutions of Innovation 444, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    13. Phimphorn Sowawattanakul & Winai Wongsurawat, 2013. "Domestic airline networks and passenger demand in Thailand after deregulation," International Journal of Aviation Management, Inderscience Enterprises Ltd, vol. 2(1/2), pages 35-53.
    14. Solvoll, Gisle & Mathisen, Terje Andreas & Welde, Morten, 2020. "Forecasting air traffic demand for major infrastructure changes," Research in Transportation Economics, Elsevier, vol. 82(C).
    15. Wang, Yue & Wong, Collin Wai Hung & Cheung, Tommy King-Yin & Wu, Edmund Yangming, 2021. "How influential factors affect aviation networks: A Bayesian network analysis," Journal of Air Transport Management, Elsevier, vol. 91(C).

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