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Yan-Fang Su

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Open access Sep 2026

Exploring Spatial Variations in Factors Influencing Cyclist Injury Severity in Traffic Crashes: A Comparison of Geographically Weighted Regression and Spatial Machine Learning

Results show that older cyclist age, higher vehicle speeds, intersection locations, multi-lane roadways, and dark conditions are associated with higher probabilities of evident or more severe injuries, highlighting the predictive capability of spatial machine learning while retaining interpretable geographic variation,...

Yan-Fang Su, Zihe Zhang, Jun Liu et al. · 0 citations
Open access Sep 2026

The safety risks of roadside trees: An analysis of injury outcomes in vehicle-tree collisions.

Roadside trees represent the most frequently struck fixed object in fatal crashes in the United States and constitute a substantial safety concern, particularly on high-speed rural roadways. Although trees are often retained or planted along roadways for aesthetic and environmental benefits, their presence within the r...

E. Adanu, Yan-Fang Su, S. Khan et al. · 1 citation

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