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Oct 2026

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...

Yi Zhao, Yi Yang, Ren-Teng Yuan et al. · 0 citations

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