Does Intercity Transportation Accessibility Matter? Its Effects on Regional Network Centrality in South Korea

Sangwan Lee, Jeongbae Jeon (), Kuk Cho and Junhyuck Im
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Sangwan Lee: LX Spatial Information Research Institute, Korea Land and Geospatial Informatix Corporation, Jeonju 54870, Republic of Korea
Jeongbae Jeon: LX Spatial Information Research Institute, Korea Land and Geospatial Informatix Corporation, Jeonju 54870, Republic of Korea
Kuk Cho: LX Spatial Information Research Institute, Korea Land and Geospatial Informatix Corporation, Jeonju 54870, Republic of Korea
Junhyuck Im: LX Spatial Information Research Institute, Korea Land and Geospatial Informatix Corporation, Jeonju 54870, Republic of Korea

Land, 2025, vol. 14, issue 4, 1-19

Abstract: This study investigates the relationship between intercity transportation accessibility and network centrality across South Korea by integrating Global Positioning System (GPS)-based mobility data with graph-theoretic centrality measures, including degree, PageRank, local clustering coefficient, harmonic, Katz, and information centrality. Employing both statistical modeling and machine learning techniques, this analysis uncovers key structural patterns and interaction effects within the national mobility network. The findings yield several important insights. First, the Seoul Metropolitan Area emerges as the dominant mobility hub, with Busan, Daegu, and Daejeon functioning as secondary centers, reflecting a polycentric urban configuration. Second, intermediary transfer hubs—despite having lower direct connectivity—substantially enhance overall network efficiency and interregional mobility. Third, transportation accessibility, particularly in relation to regional transit and highway infrastructure, exhibits a significant association with centrality measures and strong feature importance, identifying these modes as primary determinants of spatial connectivity. Fourth, the impact of accessibility on centrality is characterized by nonlinear relationships and threshold effects. By elucidating the complex interplay between mobility infrastructure and spatial network dynamics, this study contributes to a more comprehensive understanding of regional connectivity and network centrality and offers policy-relevant insights for future transportation planning.

Keywords: transportation and land use interaction; network centrality; transportation accessibility; GPS-based mobility data; interpretable machine learning (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2025
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