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A model to identify airport hubs and their importance to tourism in Brazil

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  • Costa, Tiago F.G.
  • Lohmann, Gui
  • Oliveira, Alessandro V.M.

Abstract

Air transportation in Brazil has been recently liberalized and one of the consequences of this process is the concentration of flights in a few hubs. During the years 2006-2007 two fatal accidents created unprecedented chaos in both land and air sides of the system with harmful consequences to tourism in Brazil. The consequences were more airport congestion and many episodes of flight delays and cancellations that lasted for several months. We argue that, among other factors, this state of blackout was a result of the increase in the degree of concentration in few airports, particularly Congonhas (in São Paulo) and Brasília. Using data obtained from a survey with Brazilian experts, a comparison was made with two existing methods (the one used by the US Federal Aviation Administration and the usual Herfindahl-Hirschman method) in order to calculate the number of hubs in Brazil. Due to the huge discrepancy obtained between data from the survey and the other two methods considered, a new mathematical method based on the Herfindahl-Hirschman Index was proposed to identify the number of hubs in a given network. Drawing from the examples of what happened to tourist destinations during and after the air transport crisis in Brazil, the article concludes discussing the need for a more accurate tool to identify and to monitor the concentration of flights at the Brazilian air transportation network and its importance to tourism.

Suggested Citation

  • Costa, Tiago F.G. & Lohmann, Gui & Oliveira, Alessandro V.M., 2010. "A model to identify airport hubs and their importance to tourism in Brazil," Research in Transportation Economics, Elsevier, vol. 26(1), pages 3-11.
    • Handle: RePEc:eee:retrec:v:26:y:2010:i:1:p:3-11
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    References listed on IDEAS

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    Cited by:

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    2. Anne Lange & Werner Delfmann, 2017. "Network concentration indices for less-than-truckload transportation," Transportation, Springer, vol. 44(6), pages 1475-1497, November.
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    6. Oliveira, Alessandro V.M. & Lohmann, Gui & Costa, Tiago G., 2016. "Network concentration and airport congestion in a post de-regulation context: A case study of Brazil 2000–2010," Journal of Transport Geography, Elsevier, vol. 50(C), pages 33-44.
    7. Deng, Taotao & Gan, Chen & Du, Huiping & Hu, Yukun & Wang, Dandan, 2021. "Do high speed rail configurations matter to tourist arrivals? Empirical evidence from China's prefecture-level cities," Research in Transportation Economics, Elsevier, vol. 90(C).
    8. Arnaldo Scarpel, Rodrigo & Pelicioni, Luciele Cristina, 2018. "A data analytics approach for anticipating congested days at the São Paulo International Airport," Journal of Air Transport Management, Elsevier, vol. 72(C), pages 1-10.
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