Injury Severity | Chenzhu Wanghttps://chenzhuwang.com/tags/injury-severity/Injury SeverityHugo Blox Builder (https://hugoblox.com)en-usSun, 26 Apr 2026 00:00:00 +0000https://chenzhuwang.com/media/icon_hu7729264130191091259.pngInjury Severityhttps://chenzhuwang.com/tags/injury-severity/Causal and Spatial Safety Modelinghttps://chenzhuwang.com/project/causal-spatial-safety/Sun, 26 Apr 2026 00:00:00 +0000https://chenzhuwang.com/project/causal-spatial-safety/<p>This project line focuses on the mechanisms behind crash risk rather than prediction alone. It uses causal mediation, double machine learning, causal forests, Bayesian hierarchical models, random-parameter models, and spatial effects to explain how roadway, traffic, visual, and behavioral factors shape safety outcomes.</p> <p>Representative publications include work in Transportation Research Part C, Analytic Methods in Accident Research, Accident Analysis and Prevention, and IEEE Transactions on Intelligent Transportation Systems.</p>Joint analysis on pedestrian injury severity across vehicle movements at intersectionshttps://chenzhuwang.com/publication/amar-pedestrian-injury/Mon, 01 Dec 2025 00:00:00 +0000https://chenzhuwang.com/publication/amar-pedestrian-injury/<p>This paper belongs to the vulnerable-road-user and joint/multivariate injury severity modeling theme, with emphasis on temporal instability and spatial correlation.</p>