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The impact of hubbing concentration on flight delays within airline networks – An empirical analysis of the US domestic market

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  • Baumgarten, Patrick
  • Malina, Robert
  • Lange, Anne

Abstract

This paper explores the relationship between hubbing activities and flight delays in the United States from an airline-specific network perspective. Airline hubbing is measured with the Hubbing Concentration Index. We estimate the impact of hubbing behavior on delays, using three measures of delay, two based on delay against schedule, and the third based on buffer-corrected excess travel times. A significant (and positive) influence of hubbing concentration can only be found for the latter delay indicator. We conclude that airlines use buffer times to mitigate passenger-perceived delays against schedule that would, without buffers, arise from more complex network operations.
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Suggested Citation

  • Baumgarten, Patrick & Malina, Robert & Lange, Anne, 2014. "The impact of hubbing concentration on flight delays within airline networks – An empirical analysis of the US domestic market," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 64939, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
  • Handle: RePEc:dar:wpaper:64939
    DOI: 10.1016/j.tre.2014.03.007
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/64939/
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    File URL: http://dx.doi.org/10.1016/j.tre.2014.03.007
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    File URL: http://www.sciencedirect.com/science/article/pii/S1366554514000404
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    Cited by:

    1. Wandelt, Sebastian & Sun, Xiaoqian, 2015. "Evolution of the international air transportation country network from 2002 to 2013," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 82(C), pages 55-78.
    2. Fageda, Xavier, 1975- & Flores-Fillol, Ricardo, 2015. "How Do Airlines React to Airport Congestion? The Role of Networks," Working Papers 2072/260960, Universitat Rovira i Virgili, Department of Economics.
    3. 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.
    4. Lynnette Dray & Isabelle Laplace & Aude Marzuoli & Eric Féron & Antony Evans, 2017. "Using ground transportation for aviation system disruption alleviation," Post-Print hal-01599692, HAL.
    5. Fageda, Xavier & Flores-Fillol, Ricardo, 2016. "How do airlines react to airport congestion? The role of networks," Regional Science and Urban Economics, Elsevier, vol. 56(C), pages 73-81.
    6. Fan, Terence Ping Ching, 2019. "Schedule creep – In search of an uncongested baseline block time by examining scheduled flight block times worldwide 1986–2016," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 192-217.
    7. Lin, Ming Hsin & Zhang, Yimin, 2017. "Hub-airport congestion pricing and capacity investment," Transportation Research Part B: Methodological, Elsevier, vol. 101(C), pages 89-106.
    8. Kenan, Nabil & Jebali, Aida & Diabat, Ali, 2018. "The integrated aircraft routing problem with optional flights and delay considerations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 355-375.
    9. Lange, Anne, 2019. "Does cargo matter? The impact of air cargo operations on departure on-time performance for combination carriers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 214-223.
    10. Sun, Xiaoqian & Wandelt, Sebastian, 2014. "Network similarity analysis of air navigation route systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 416-434.
    11. Lynnette Dray & Isabelle Laplace & Aude Marzuoli & Eric Féron & Antony Evans, 2017. "Using ground transportation for aviation system disruption alleviation," Post-Print hal-01609773, HAL.
    12. Kuljanin, Jovana & Kalić, Milica & Caggiani, Leonardo & Ottomanelli, Michele, 2019. "A comparative efficiency and productivity analysis: Implication to airlines located in Central and South-East Europe," Journal of Air Transport Management, Elsevier, vol. 78(C), pages 152-163.

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