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Do market-concentrated airports propagate more delays than less concentrated ones? A case study of selected U.S. airports

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  • Diana, Tony

Abstract

Airport congestion and widespread passenger discontent with airlines' poor on-time performance have recently led the Federal government to reduce peak-time operations at large airports such as Chicago O'Hare and New York John F. Kennedy. This paper proposes a methodology to compute delay propagation based on the discrete Fourier transform (DFT) at a sample of ten U.S. airports in summer 2000, 2007 and 2008. The sampled airports are different in terms of size, location and index of concentration.

Suggested Citation

  • Diana, Tony, 2009. "Do market-concentrated airports propagate more delays than less concentrated ones? A case study of selected U.S. airports," Journal of Air Transport Management, Elsevier, vol. 15(6), pages 280-286.
    • Handle: RePEc:eee:jaitra:v:15:y:2009:i:6:p:280-286
    DOI: 10.1016/j.jairtraman.2008.12.002
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    References listed on IDEAS

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    1. Daniel, Joseph I, 1995. "Congestion Pricing and Capacity of Large Hub Airports: A Bottleneck Model with Stochastic Queues," Econometrica, Econometric Society, vol. 63(2), pages 327-370, March.
    2. Jan K. Brueckner, 2002. "Airport Congestion When Carriers Have Market Power," American Economic Review, American Economic Association, vol. 92(5), pages 1357-1375, December.
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    4. Christopher Mayer & Todd Sinai, 2003. "Network Effects, Congestion Externalities, and Air Traffic Delays: Or Why Not All Delays Are Evil," American Economic Review, American Economic Association, vol. 93(4), pages 1194-1215, September.
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    1. Hao, Lu & Hansen, Mark & Zhang, Yu & Post, Joseph, 2014. "New York, New York: Two ways of estimating the delay impact of New York airports," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 245-260.
    2. Brueckner, Jan K. & Czerny, Achim I. & Gaggero, Alberto A., 2022. "Airline delay propagation: A simple method for measuring its extent and determinants," Transportation Research Part B: Methodological, Elsevier, vol. 162(C), pages 55-71.
    3. 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.
    4. Nermin Zijadić & Emir Ganić & Matija Bračić & Igor Štimac, 2022. "Impact of Aircraft Delays on Population Noise Exposure in Airport’s Surroundings," IJERPH, MDPI, vol. 19(15), pages 1-20, July.
    5. Wu, Cheng-Lung & Truong, Tiffany, 2014. "Improving the IATA delay data coding system for enhanced data analytics," Journal of Air Transport Management, Elsevier, vol. 40(C), pages 78-85.
    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. Brueckner, Jan K. & Czerny, Achim I. & Gaggero, Alberto A., 2025. "Gauging the effectiveness of airline schedule buffers in reducing arrival delays," Journal of Air Transport Management, Elsevier, vol. 125(C).
    8. Wang, Yanjun & Li, Max Z. & Gopalakrishnan, Karthik & Liu, Tongdan, 2022. "Timescales of delay propagation in airport networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).

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