Unraveling the spatial heterogeneity of urban traffic crashes: A GeoXGBoost and point-mapping SHAP framework.
OBJECTIVES In urban traffic risk research, traditional models struggle to simultaneously capture the complex nonlinearity and spatial heterogeneity of risk-driving factors, while often lacking fine-grained spatial interpretability. To address these limitations, this study develops a comprehensive traffic risk analysis...