Has market concentration fostered on-time performance? A case study of seventy-two U.S. airports |
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| Institution: | 1. Imperial College London, Centre for Transport Studies, Department of Civil and Environmental Engineering, South Kensington Campus, London SW7 2AZ, United Kingdom;2. EUROCONTROL Maastricht Upper Area Control Centre, Horsterweg 11, 6199 AC Maastricht Airport, The Netherlands;1. School of Aerospace Engineering, Aerospace Systems Design Laboratory, Georgia Institute of Technology, 275 Ferst Dr., Atlanta, GA 30332-0150, USA;2. Civil Aviation Research Division, School of Aerospace Engineering, Aerospace Systems Design Laboratory, Georgia Institute of Technology, 275 Ferst Dr., Atlanta, GA 30332-0150, USA;3. Boeing Regents Professor of Advanced Aerospace Systems Analysis, School of Aerospace Engineering, Aerospace Systems Design Laboratory, Georgia Institute of Technology, 275 Ferst Dr., Atlanta, GA 30332-0150, USA;1. COPPEAD Graduate Business School, Federal University of Rio de Janeiro, Rua Paschoal Lemme, 355, 21949-900, Rio de Janeiro, Brazil;2. ISEG – Lisbon School of Economics and Management, ULisboa and CEsA - Research Centre on African, Asian and Latin American Studies, Rua Miguel Lupi, 20, 1249-078, Lisboa, Portugal;1. Università degli Studi di Palermo, Dipartimento di Fisica e Chimica, Viale delle Scienze, Ed. 18, I-90128, Palermo, Italy;2. Deep Blue srl, P.zza Buenos Aires, Roma, Italy;3. University of Westminster, 35 Marylebone Road, London NW1 5LS, United Kingdom;4. Scuola Normale Superiore, Piazza dei Cavalieri 7, Pisa, Italy;5. Central European University, Center for Network Science, Nador 9, H-1051, Budapest, Hungary;6. Central European University, Department of Economics, Nador 9, H-1051, Budapest, Hungary |
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| Abstract: | The study compares a multivariate with a quantile regression model to determine whether utilized airport capacity, departure and airborne delays, departure and arrival demand, and market structure explained variations in on-time gate arrivals and arrival delays. In both models, airport departure delays, arrival and departure demand explained variations in the two response variables in prioritized and non-prioritized metroplexes, holding other variables constant. After 2008, the consolidation of the airline industry through mergers coincided with the implementation of NextGen programs, which may have contributed to improvements in on-time performance, especially at prioritized metroplexes where airspace was redesigned. |
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| Keywords: | Multivariate multiple regression Quantile regression On-time performance Airport performance NextGen |
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