An evaluation of the impact of wake vortex re-categorization: The case of Charlotte Douglas International airport (CLT)

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https://www.sciencedirect.com/science/article/pii/S0965856416308357?via%3Dihub#!

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https://doi.org/10.1016/j.tra.2018.01.013
 http://hdl.handle.net/11603/22979

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UMBC Data Science

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https://orcid.org/0000-0002-6692-1131

Date

2018-02-04

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journal articles
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Diana, Tony; An evaluation of the impact of wake vortex re-categorization: The case of Charlotte Douglas International airport (CLT); Transportation Research Part A: Policy and Practice, Volume 109, March 2018, Pages 41-49, 4 February, 2018; https://doi.org/10.1016/j.tra.2018.01.013

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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

This study compared departures before and after wake recat implementation at CLT. In both periods, departure counts and departure demand loaded highly onto Factor 1, arrival demand and gate departure delays onto Factor 2, and taxi-out time onto Factor 3. A two-level negative binomial mixed-effects model considered the random effects of approach conditions on operations. Only gate departure delay was significant within and across both samples. NextGen capabilities including wake recat appeared to minimize the random effects of instrument approach conditions (IAC) on operations in both samples. Wake recat increased departure throughputs in IAC and enabled multiple departure pushes throughout the day.