Measuring Performance at a Large Metropolitan Area: The Case of the DC (District of Columbia) Metroplex
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Date
2014-08
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Citation of Original Publication
Diana, Tony; Measuring Performance at a Large Metropolitan Area: The Case of the DC (District of Columbia) Metroplex; Journal of the Transportation Research Forum, Vol. 53, No. 3, pp. 21-33, August 2014; https://doi.org/10.5399/OSU%2FJTRF.53.3.4249
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Public Domain Mark 1.0
This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law
Public Domain Mark 1.0
This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law
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Abstract
Hierarchical linear models improve the measurement of performance when applied to a construct
such as a metroplex. It comparesthe 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.