The Analysis of Centrality Change in Seoul and Its Determinants Using Public Transportation Traffic Volume Before and After COVID-19

This study investigated changes in urban centrality and their influencing factors in Seoul by analyzing public transportation patterns before and after the COVID-19 pandemic. The research aimed to provide policy directions and empirical evidence for urban spatial planning in preparation for future events. For the analysis, centrality was measured using the eigenvector centrality index based on public transportation traffic data, considering the interactions between administrative districts of Seoul. Spatial regression analysis was then conducted to identify factors influencing centrality changes. The results revealed that while Seoul's three major business districts (CBD, GBD, YBD) maintained their roles as central business districts, their relative importance showed different patterns. Areas with high employment density and mixed land use maintained or increased their centrality, while university districts and single-function areas experienced decreased centrality. The study also found that areas with well-established public transportation infrastructure showed better resilience in maintaining their centrality during the pandemic. These findings provide valuable insights for developing urban policies and spatial planning strategies.