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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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    Cited by:

    1. 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.
    2. Sismanidou, Athina & Tarradellas, Joan & Suau-Sanchez, Pere, 2022. "The uneven geography of US air traffic delays: Quantifying the impact of connecting passengers on delay propagation," Journal of Transport Geography, Elsevier, vol. 98(C).
    3. C. Jennifer Tae & Min‐Seok Pang & Brad N. Greenwood, 2020. "When your problem becomes my problem: The impact of airline IT disruptions on on‐time performance of competing airlines," Strategic Management Journal, Wiley Blackwell, vol. 41(2), pages 246-266, February.
    4. Lawford, Steve & Mehmeti, Yll, 2020. "Cliques and a new measure of clustering: With application to U.S. domestic airlines," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
    5. 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.
    6. Tan, Xinlong & Jia, Rongwen & Yan, Jia & Wang, Kun & Bian, Lei, 2021. "An Exploratory analysis of flight delay propagation in China," Journal of Air Transport Management, Elsevier, vol. 92(C).
    7. Ivaldi, Marc & Urdanoz, Miguel & de Villemeur, Étienne, 2007. "Social Costs of Air Traffic Delays," IDEI Working Papers 460, Institut d'Économie Industrielle (IDEI), Toulouse.
    8. 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.
    9. Roucolle, Chantal & Seregina, Tatiana & Urdanoz, Miguel, 2020. "Network development and excess travel time," Transport Policy, Elsevier, vol. 94(C), pages 139-152.
    10. 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.
    11. Lorenz Kolley & Nicolas Rückert & Marvin Kastner & Carlos Jahn & Kathrin Fischer, 2023. "Robust berth scheduling using machine learning for vessel arrival time prediction," Flexible Services and Manufacturing Journal, Springer, vol. 35(1), pages 29-69, March.
    12. 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.
    13. Ivaldi, Marc & Quinet, Emile & Urdanoz, Miguel & de Villemeur, Étienne, 2014. "Airlines, Delays, Social Optimum, Calibration," IDEI Working Papers 842, Institut d'Économie Industrielle (IDEI), Toulouse.
    14. Mariana Nicolae & Mazhar Arıkan & Vinayak Deshpande & Mark Ferguson, 2017. "Do Bags Fly Free? An Empirical Analysis of the Operational Implications of Airline Baggage Fees," Management Science, INFORMS, vol. 63(10), pages 3187-3206, October.
    15. Lynnette Dray & Isabelle Laplace & Aude Marzuoli & Eric Féron & Antony Evans, 2017. "Using ground transportation for aviation system disruption alleviation," Post-Print hal-01599692, HAL.
    16. Zhang, Haoyu & Wu, Weiwei & Jiang, Yu & Chen, Xinyuan, 2024. "Flight delay propagation in the multiplex network system of airline networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 648(C).
    17. 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.
    18. Calzada, Joan & Fageda, Xavier, 2023. "Airport dominance, route network design and flight delays," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    19. 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.
    20. 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.
    21. van Schilt, Isabelle M. & van Kalker, Jonna & Lefter, Iulia & Kwakkel, Jan H. & Verbraeck, Alexander, 2024. "Buffer scheduling for improving on-time performance and connectivity with a multi-objective simulation–optimization model: A proof of concept for the airline industry," Journal of Air Transport Management, Elsevier, vol. 115(C).
    22. Lynnette Dray & Isabelle Laplace & Aude Marzuoli & Eric Féron & Antony Evans, 2017. "Using ground transportation for aviation system disruption alleviation," Post-Print hal-01609773, HAL.
    23. 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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