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Measuring the development of airline networks: Comprehensive indicators

Author

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  • Chantal Roucolle

    (ENAC - Ecole Nationale de l'Aviation Civile)

  • Tatiana Seregina

    (ENAC - Ecole Nationale de l'Aviation Civile, TBS - Toulouse Business School)

  • Miguel Urdanoz

    (TBS - Toulouse Business School)

Abstract

The literature on airlines presents few studies analyzing the airlines network evolution. We believe that this gap is due to the difficulty of capturing the network complexity in a simple manner. This paper proposes new simple and continuous indicators to measure the airlines' network structure. The methodology to build them is based on graph theory and principal component analysis. We apply this approach to the US domestic market for 2005–2018, and obtain three network indicators. The first one measures how close the network is to a single-center structure. The second indicator measures the airline's ability to provide alternative routes. The third indicator captures the network size. We analyze the indicators evolution across time and show their robustness under different scenarios.

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  • Chantal Roucolle & Tatiana Seregina & Miguel Urdanoz, 2020. "Measuring the development of airline networks: Comprehensive indicators," Post-Print hal-02616818, HAL.
  • Handle: RePEc:hal:journl:hal-02616818
    DOI: 10.1016/j.tra.2019.12.010
    Note: View the original document on HAL open archive server: https://hal-enac.archives-ouvertes.fr/hal-02616818
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    Keywords

    Airline; Graph theory; Network; Principal Component Analysis (PCA); Indicators;
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