Share these talks and lectures with your colleagues
Invite colleaguesResearch paper
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
Journal of Airport Management,
16
(1),
87-104
(2021)
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
The full article is available to subscribers to the journal.
Author's Biography
Tony Diana is the Acting Division Manager, Outreach at the US Federal Aviation Administration (FAA). He received his doctorate in policy analysis and quantitative management from the University of Maryland, Baltimore County. He is involved in the communication of progress in modernisation programmes at US airports, metroplexes and airspaces. Prior to that position, he was Division Manager, NextGen Performance in the Office of NextGen Performance and Outreach and Deputy Division Manager, Forecasting and Performance Analysis, in the Office of Aviation Policy and Plans of the FAA, where he managed the aviation system performance metrics data warehouse. At the Maryland Aviation Administration, he was involved in performance measurement and route development. Tony’s main interests are performance evaluation and benchmarking as well as the study of delay. He is a certified Lean Sigma Master Black Belt and a certified Project Management Professional.
