NDLI: Insights into Factors Affecting Traffic Accident Severity of Novice and Experienced Drivers: A Machine Learning Approach

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Insights into Factors Affecting Traffic Accident Severity of Novice and Experienced Drivers: A Machine Learning Approach

Content Provider	MDPI
Author	Chen, Shuaiming Shao, Haipeng Ji, Ximing
Copyright Year	2021
Description	Traffic accidents have significant financial and social impacts. Reducing the losses caused by traffic accidents has always been one of the most important issues. This paper presents an effort to investigate the factors affecting the accident severity of drivers with different driving experience. Special focus was placed on the combined effect of driving experience and age. Based on our dataset (traffic accidents that occurred between 2005 and 2021 in Shaanxi, China), CatBoost model was applied to deal with categorical feature, and SHAP (Shapley Additive exPlanations) model was used to interpret the output. Results show that accident cause, age, visibility, light condition, season, road alignment, and terrain are the key factors affecting accident severity for both novice and experienced drivers. Age has the opposite impact on fatal accident for novice and experienced drivers. Novice drivers younger than 30 or older than 55 are prone to suffer fatal accident, but for experienced drivers, the risk of fatal accident decreases when they are young and increases when they are old. These findings fill the research gap of the combined effect of driving experience and age on accident severity. Meanwhile, it can provide useful insights for practitioners to improve traffic safety for novice and experienced drivers.
Starting Page	12725
e-ISSN	16604601
DOI	10.3390/ijerph182312725
Journal	International Journal of Environmental Research and Public Health
Issue Number	23
Volume Number	18
Language	English
Publisher	MDPI
Publisher Date	2021-12-02
Access Restriction	Open
Subject Keyword	International Journal of Environmental Research and Public Health Transportation Science and Technology Traffic Safety Accident Severity Driving Experience Machine Learning Catboost
Content Type	Text
Resource Type	Article

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