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

Tony Diana

Transportation Research Part A: Policy and Practice, 2018, vol. 109, issue C, 41-49

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.

Keywords: Mixed-effects model; Negative binomial model; Factor analysis; Incidence rate ratio; Departure throughputs (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:eee:transa:v:109:y:2018:i:c:p:41-49

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DOI: 10.1016/j.tra.2018.01.013

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