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Doing more with less: An assessment of capacity utilisation using stochastic frontier and spectral analysis models in the case of Atlanta Hartsfield-Jackson International Airport

Tony Diana
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Tony Diana: Manager of the Outreach Division at Federal Aviation Administration, NextGen Collaboration and Messaging Office, USA

Journal of Airport Management, 2021, vol. 16, issue 1, 87-104

Abstract: This study proposes a methodology to measure and compare the operational outcomes of airport capacity improvement programs before and after the implementation of improvement programmes at discrete periods at Atlanta Hartsfield-Jackson International Airport (ATL). In this analysis, the percentage of airport capacity utilised is a function of operations, total demand, taxi-out times and ceiling/visibility conditions. The outputs of a stochastic frontier model indicated that the mean technical efficiency slightly declined to 0.98 in the 2016 sample, down from 0.99 in both the 2012 and 2015 samples. The decline in technical efficiency, however, can be misleading. Moreover, the outcomes of spectral analysis indicated that ATL was able to reduce the amplitude and number of peaks per cycle in the 2016 sample compared with the other samples, which resulted in improved capacity utilised and on-time performance in a context of increasing operations.

Keywords: Stochastic frontier analysis; spectral analysis; capacity utilisation (search for similar items in EconPapers)
JEL-codes: M1 M10 R4 R40 (search for similar items in EconPapers)
Date: 2021
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