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

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  • Diana, Tony

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.

Suggested Citation

  • Diana, Tony, 2018. "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, Elsevier, vol. 109(C), pages 41-49.
    • Handle: RePEc:eee:transa:v:109:y:2018:i:c:p:41-49
    DOI: 10.1016/j.tra.2018.01.013
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    References listed on IDEAS

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    1. S. Rabe-Hesketh & A. Skrondal & H. K. Gjessing, 2008. "Biometrical Modeling of Twin and Family Data Using Standard Mixed Model Software," Biometrics, The International Biometric Society, vol. 64(1), pages 280-288, March.
    2. Wu, Cheng-Lung, 2005. "Inherent delays and operational reliability of airline schedules," Journal of Air Transport Management, Elsevier, vol. 11(4), pages 273-282.
    3. Diana, Tony, 2015. "An evaluation of departure throughputs before and after the implementation of wake vortex recategorization at Atlanta Hartsfield/Jackson International Airport: A Markov regime-switching approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 83(C), pages 216-224.
    4. Diana, Tony, 2014. "Validating delay constructs: An application of confirmatory factor analysis," Journal of Air Transport Management, Elsevier, vol. 35(C), pages 87-91.
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