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dc.contributor.authorDiana, Tony
dcterms.creatorhttps://orcid.org/0000-0002-6692-1131en_US
dc.date.accessioned2021-09-08T17:29:36Z
dc.date.available2021-09-08T17:29:36Z
dc.date.issued2010-04-01
dc.description.abstractThis paper uses stochastic frontier models to assess whether technical efficiency at Newark Liberty International, New York John F. Kennedy International, and New York LaGuardia airports improved from June to August 2008 compared with the summers of 2000 and 2007. An airport is efficient if it can handle operations on-time by minimizing overall demand and maximizing available airport capacity. Granger-causality tests determined the factors that may cause changes in key components and indicators of airport performance. Compared with the other airports, JFK experienced the greatest improvement in technical efficiency. The Granger-causality tests stressed the significance of airport operations and en route factors in supporting efficiency.en_US
dc.description.urihttps://www.sciencedirect.com/science/article/pii/S0969699710000451#aep-article-footnote-id1en_US
dc.format.extent5 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/m2p9d9-sahi
dc.identifier.citationDiana, Tony; Can we explain airport performance? A case study of selected New York airports using a stochastic frontier model; Journal of Air Transport Management, Volume 16, Issue 6, Pages 310-314, 1 April, 2010; https://doi.org/10.1016/j.jairtraman.2010.03.006en_US
dc.identifier.urihttps://doi.org/10.1016/j.jairtraman.2010.03.006
dc.identifier.urihttp://hdl.handle.net/11603/22968
dc.language.isoen_USen_US
dc.publisherElsevieren_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Data Science Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.en_US
dc.rightsPublic Domain Mark 1.0*
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law
dc.rights.urihttp://creativecommons.org/publicdomain/mark/1.0/*
dc.titleCan we explain airport performance? A case study of selected New York airports using a stochastic frontier modelen_US
dc.typeTexten_US


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This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
Except where otherwise noted, this item's license is described as This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.