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De-hubbing of airports and their recovery patterns

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  • Redondi, Renato
  • Malighetti, Paolo
  • Paleari, Stefano

Abstract

The paper analyzes cases of de-hubbing in air transport between 1997 and 2009. It initially addresses the conditions to be met for airports to be identified as de-hubbing cases. Second, it examines what happens after de-hubbing by clustering the cases into homogenous groups that show that, on average, airports that experienced de-hubbing did not recover their original traffic within five years and that de-hubbing is likely to be irreversible. When hub carriers were replaced at least partially by low-cost carriers, airports on average recovered faster. De-hubbing adversely affects the number of destinations served less severely than the seats offered by carriers.

Suggested Citation

  • Redondi, Renato & Malighetti, Paolo & Paleari, Stefano, 2012. "De-hubbing of airports and their recovery patterns," Journal of Air Transport Management, Elsevier, vol. 18(1), pages 1-4.
    • Handle: RePEc:eee:jaitra:v:18:y:2012:i:1:p:1-4
    DOI: 10.1016/j.jairtraman.2011.04.002
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    Cited by:

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    15. Rodríguez-Déniz, Héctor & Suau-Sanchez, Pere & Voltes-Dorta, Augusto, 2013. "Classifying airports according to their hub dimensions: an application to the US domestic network," Journal of Transport Geography, Elsevier, vol. 33(C), pages 188-195.
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    17. Sismanidou, Athina & Tarradellas, Joan & Bel, Germà & Fageda, Xavier, 2013. "Estimating potential long-haul air passenger traffic in national networks containing two or more dominant cities," Journal of Transport Geography, Elsevier, vol. 26(C), pages 108-116.
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    19. Pels, Eric, 2021. "Product differentiation and network optimality," Transport Policy, Elsevier, vol. 110(C), pages 415-429.
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