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Measuring Performance at a Large Metropolitan Area: The Case of the DC (District of Columbia) Metroplex

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  • Diana, Tony

Abstract

Hierarchical linear models improve the measurement of performance when applied to a construct such as a metroplex. It compares the outcomes of a hierarchical linear model with those of a multiple regression model to evaluate whether meteorological conditions at individual airports and overall would explain variations in block delays. The study used the cases of the three largest airports in the DC Metroplex and concluded airborne delays had a significant random effect on block delays in spite of meteorological conditions at each airport. It pointed out that surface operations efficiency played a significant role in explaining variations in block delays.

Suggested Citation

  • Diana, Tony, 2014. "Measuring Performance at a Large Metropolitan Area: The Case of the DC (District of Columbia) Metroplex," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 53(3).
    • Handle: RePEc:ags:ndjtrf:207441
    DOI: 10.22004/ag.econ.207441
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    File URL: https://ageconsearch.umn.edu/record/207441/files/2014v53n3_02_Metroplex.pdf
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    References listed on IDEAS

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    1. Gudmundsson, Sveinn Vidar, 2004. "Management emphasis and performance in the airline industry: an exploratory multilevel analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 40(6), pages 443-463, November.
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    Cited by:

    1. Ruan, Liying & Gardi, Alessandro & Sabatini, Roberto, 2021. "Operational efficiency analysis of Beijing multi-airport terminal airspace," Journal of Air Transport Management, Elsevier, vol. 92(C).

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    Public Economics;

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