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Spatial spillovers in U.S. airport non-aeronautical revenue performance

Bibliographic Data

ID12294385
AuthorsSen Wang (0000-0001-8167-280X, The Ohio State University, corresponding author), Fecri Karanki (0000-0002-0675-8563, United States Department of Transportation), Yi Gao (0000-0002-3924-6142, United States Department of Transportation)
Year2025
Volume130
Pages104452-104452
Publication date2025-10-22
Open AccessYes
TypeARTICLE
VenueJournal of Transport Geography (JOURNAL)
Journal identifiersISSN: 0966-6923 • E-ISSN: 1873-1236
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.jtrangeo.2025.104452
OpenAlexW4415429158
LanguageEN
References cited74

Non-aeronautical revenue has become an increasingly vital component of airport financial sustainability, especially as airports face growing pressure to diversify income streams beyond traditional aeronautical sources. As airports expand retail, parking, and commercial services, competition for these revenue opportunities has intensified, particularly among airports in close geographic proximity. This study investigates the spatial interdependence in non-aeronautical revenue generation among 100 U.S. hub airports from 2010 to 2023. By applying the generalized spatial two-stage least squares method to the spatial Cliff-Ord type model, we identify negative spatial spillover effects in non-aeronautical revenue among neighboring hub airports. Our findings suggest that neighboring hub airports experience spatial competition for non-aeronautical revenue. We conduct a sensitivity analysis to assess the robustness of the negative spatial spillover effects, which remain consistent even after controlling for shared governance structures. By examining spatial interdependence among airports, this study extends the literature on airport competition into the non-aeronautical revenue domain. These findings highlight the need for airport authorities and policymakers to implement integrated strategies that explicitly incorporate spatial interdependencies across regional airport systems

Competition (biology · Corporate governance · Interdependence · Revenue · Robustness (evolution · Spillover effect · Air Traffic Management and Optimization · Aviation Industry Analysis and Trends · Spatial and Panel Data Analysis

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