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Can we explain airport performance? A case study of selected New York airports using a stochastic frontier model

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  • Diana, Tony

Abstract

This paper uses stochastic frontier models to assess whether technical efficiency at Newark Liberty International, New York John F. Kennedy International, and New York LaGuardia airports improved from June to August 2008 compared with the summers of 2000 and 2007. An airport is efficient if it can handle operations on-time by minimizing overall demand and maximizing available airport capacity. Granger-causality tests determined the factors that may cause changes in key components and indicators of airport performance. Compared with the other airports, JFK experienced the greatest improvement in technical efficiency. The Granger-causality tests stressed the significance of airport operations and en route factors in supporting efficiency.

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  • Diana, Tony, 2010. "Can we explain airport performance? A case study of selected New York airports using a stochastic frontier model," Journal of Air Transport Management, Elsevier, vol. 16(6), pages 310-314.
    • Handle: RePEc:eee:jaitra:v:16:y:2010:i:6:p:310-314
    DOI: 10.1016/j.jairtraman.2010.03.006
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    References listed on IDEAS

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    Cited by:

    1. Eshtaiwi, Mohamed & Badi, Ibrahim & Abdulshahed, Ali & Erkan, Turan Erman, 2018. "Determination of key performance indicators for measuring airport success: A case study in Libya," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 28-34.
    2. Wanke, Peter & Barros, C.P., 2017. "Efficiency thresholds and cost structure in Senegal airports," Journal of Air Transport Management, Elsevier, vol. 58(C), pages 100-112.
    3. Barros, Carlos Pestana, 2011. "Cost efficiency of African airports using a finite mixture model," Transport Policy, Elsevier, vol. 18(6), pages 807-813, November.
    4. Edgar Ferreira Damacena & Peter Fernandes Wanke & Henrique Luiz Correa, 2016. "Infrastructure expansion in Brazilian airports: slack analysis using a distance friction minimization approach," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 43(2), pages 181-198, June.
    5. Ryerson, Megan S. & Hansen, Mark & Bonn, James, 2014. "Time to burn: Flight delay, terminal efficiency, and fuel consumption in the National Airspace System," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 286-298.
    6. Lall, Ashish, 2018. "Delays in the New York City metroplex," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PA), pages 139-153.
    7. Wanke, Peter & Barros, C.P. & Nwaogbe, Obioma R., 2016. "Assessing productive efficiency in Nigerian airports using Fuzzy-DEA," Transport Policy, Elsevier, vol. 49(C), pages 9-19.

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