Fine-grained analysis of transport-demographic relationships: County-level responses to multimodal connectivity across metropolitan and peripheral China
利用20年县域面板数据，研究航空、高铁和普铁网络连接性对人口密度的影响，发现连接性提升促进人口集中，但效果存在五年滞后，且都市区获益比外围地区高约4%。
Despite extensive research on transport-induced demographic change, few studies have systematically investigated how different transport modes shape population distribution across diverse geographical contexts at fine spatial scales. This study explores the relationship between multimodal transport networks and population density using 20 years of county-level panel data, focusing on differential impacts in metropolitan and peripheral counties across China. Employing high-dimensional fixed effects models and centrality measures derived from aviation, high-speed rail and conventional rail networks, our results show that higher degree centrality (i.e., more direct connections) is positively associated with population concentration (+0.018%), while higher inverse closeness centrality (i.e., greater average shortest distance to all other nodes) is negatively associated (−0.005%). These effects are not instantaneous but emerge with significant five-year lags. Metropolitan counties experience approximately 4% greater population gains from improved connectivity than peripheral regions. While connectivity effects are observed across all transport modes, high-speed rail exhibits relatively consistent and positive associations with population growth over longer time lags, although its effects in metropolitan areas are generally weaker than those of aviation and conventional rail. Complementing the regression results, LightGBM-based SHAP analysis reveals substantial spatial heterogeneity: even within the same classification (metropolitan or peripheral), counties with advantageous network positions—such as regional hubs—exhibit markedly stronger demographic responses. The findings offer valuable guidance for urban planning and transport policy, emphasising the need for targeted, mode-sensitive investment strategies that account for regional disparities in transport access and development potential.