How does distraction affect cyclists’ severe crashes? A hybrid CatBoost-SHAP and random parameters binary logit approach - Agheli, Ali; Aghabayk, Kayvan (Accident analysis and prevention, 2025)
Keywords: Accidents, Traffic - statistics & numerical data; Adult; Algorithms; Bicycle-motor vehicle crash; Bicycling - injuries; Bicycling - psychology; Boosting Machine Learning Algorithms; Crash severity; Databases, Factual; Distracted cyclist; Distracted Driving - statistics & numerical data; Female; Humans; Interpretable ML; Logistic Models; Machine learning; Male; Middle Aged; Risk Factors; United States - epidemiology; Unobserved heterogeneity; Wounds and Injuries - epidemiology; United States; Interpretable ML; Unobserved heterogeneity; Machine learning; Crash severity; Bicycle-motor vehicle crash; Distracted cyclist