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A note on how to measure hubbing practices in airline networks

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  • Martín, Juan Carlos
  • Voltes-Dorta, Augusto

Abstract

Benefits and costs associated to hubbing practices of airlines are still subject to much debate. In the previous literature, some standard spatial concentration indices have been proposed to measure it. However, we show that these indices are "ill-defined" because they do not take into account the salient characteristic of hubbing: connecting passengers. The purpose of this research is to present a new methodology which avoids the pitfalls of other methods. Our new methodology also analyzes the level of concentration of the connecting passengers studying two different dimensions: hub airports and routes. Finally, we apply our methodology to some US carriers.

Suggested Citation

  • Martín, Juan Carlos & Voltes-Dorta, Augusto, 2009. "A note on how to measure hubbing practices in airline networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(1), pages 250-254, January.
    • Handle: RePEc:eee:transe:v:45:y:2009:i:1:p:250-254
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    Citations

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    Cited by:

    1. Anne Lange & Werner Delfmann, 2017. "Network concentration indices for less-than-truckload transportation," Transportation, Springer, vol. 44(6), pages 1475-1497, November.
    2. Alderighi, Marco & Gaggero, Alberto A., 2018. "Flight cancellations and airline alliances: Empirical evidence from Europe," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 90-101.
    3. 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.
    4. Roucolle, Chantal & Seregina, Tatiana & Urdanoz, Miguel, 2020. "Network development and excess travel time," Transport Policy, Elsevier, vol. 94(C), pages 139-152.
    5. 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.
    6. T.V.S. Ramamohan Rao, 2012. "Firm Specific Monopoly Power in Differentiated Oligopoly," Journal of Quantitative Economics, The Indian Econometric Society, vol. 10(1), pages 85-97, January.
    7. Kafle, Nabin & Zou, Bo, 2016. "Modeling flight delay propagation: A new analytical-econometric approach," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 520-542.
    8. Cheung, Tommy K.Y. & Wong, Collin W.H. & Zhang, Anming, 2020. "The evolution of aviation network: Global airport connectivity index 2006–2016," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    9. Zhang, Shengrun & Zheng, Hailong & Chen, Yuting & Witlox, Frank, 2020. "Factors influencing the hub connectivity of Beijing Capital Airport in its international markets," Journal of Air Transport Management, Elsevier, vol. 88(C).
    10. Oliveira, Renan P. & Oliveira, Alessandro V.M. & Lohmann, Gui & Bettini, Humberto F.A.J., 2020. "The geographic concentrations of air traffic and economic development: A spatiotemporal analysis of their association and decoupling in Brazil," Journal of Transport Geography, Elsevier, vol. 87(C).
    11. Chang, Yu-Chun & Lee, Wei-Hao & Wu, Yi-Ting & Hsiao, Chien-You, 2022. "Airport transfer dependency on neighbour hubs – The case of Taoyuan Airport's aviation network," Transport Policy, Elsevier, vol. 124(C), pages 212-220.

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