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

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.

Authors

Institutions

Publication Details

Journal
Journal of Transport Geography
Published
2025-10-22
DOI
https://doi.org/10.1016/j.jtrangeo.2025.104452
Citations
3
Primary Topic
Aviation Industry Analysis and Trends
Type
article
Field-Weighted Citation Impact
9.26
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Yi Gao, Fecri Karanki, Sen Wang
3 citations
Journal of Transport Geography
Aviation Industry Analysis and Trends
9.26
article

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

Yi Gao, Fecri Karanki, Sen Wang
article en
3 citations

Abstract

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.

Journal of Transport GeographyVol. 130
United States Department of Transportation (US), The Ohio State University (US)
Openalex Percentile: Top 2%
Aviation Industry Analysis and Trends
9.26
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.