A hybrid approach for modeling bicycle crash frequencies: Integrating random forest based SHAP model with random parameter negative binomial regression model - Ding, Hongliang; Wang, Ruiqi; Chen, Tiantian; Sze, N.N.; Chung, Hyungchul; Dong, Ni (Accident analysis and prevention, 2024)
Keywords: Accidents, Traffic - statistics & numerical data; Algorithms; Bayes Theorem; Bicycle frequency; Bicycling - statistics & numerical data; Humans; Hybrid approach; London - epidemiology; Machine Learning; Models, Statistical; Random Forest; Random Forest based SHAP; Random parameter negative binomial regression model; Regional factors; Regression Analysis; Risk Factors; Support Vector Machine; Unobserved effects; London; Regional factors; Hybrid approach; Random Forest based SHAP; Bicycle frequency; Random parameter negative binomial regression model; Unobserved effects