Author

Zihe Zhang

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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. · Future Transportation · 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. · Accident Analysis and Preven... · 1 citation

Jul 2026

Leveraging connected vehicle data for roadway safety evaluation and management: segment- and intersection-level driving volatility analysis

This study proposes a comprehensive framework for driving volatility analysis at both the segment and intersection levels using large-scale connected vehicle trajectory data, revealing a strong and statistically significant relationship between elevated driving volatility and higher crash frequencies.

Xiaoqin Zou, Jiayi Kong, Zihe Zhang et al. · Journal of Intelligent Trans... · 0 citations