Commercial truck crash injury severity analysis using gradient boosting data mining model

Journal of Safety Research
Zijian ZhengBrenda Lantz

Abstract

Truck crashes contribute to a large number of injuries and fatalities. This study seeks to identify the contributing factors affecting truck crash severity using 2010 to 2016 North Dakota and Colorado crash data provided by the Federal Motor Carrier Safety Administration. To fulfill a gap of previous studies, broad considerations of company and driver characteristics, such as company size and driver's license class, along with vehicle types and crash characteristics are researched. Gradient boosting, a data mining technique, is applied to comprehensively analyze the relationship between crash severities and a set of heterogeneous risk factors. Twenty five variables were tested and 22 of them are identified as significant variables contributing to injury severities, however, top 11 variables account for more than 80% of injury forecasting. The relative variable importance analysis is conducted and furthermore marginal effects of all contributing factors are also illustrated in this research. Several factors such as trucking company attributes (e.g., company size), safety inspection values, trucking company commerce status (e.g., interstate or intrastate), time of day, driver's age, first harmful events, and registration conditio...Continue Reading

Citations

Feb 26, 2020·International Journal of Environmental Research and Public Health·Yingying XingJian Lu
Apr 10, 2021·Accident; Analysis and Prevention·Craig D LackYuanxue Gao
Aug 28, 2021·International Journal of Environmental Research and Public Health·Paúl Narváez-VillaFrancisco Aparicio-Izquierdo
Feb 1, 2020·Accident; Analysis and Prevention·Ehsan RahimiAbolfazl Kouros Mohammadian
Feb 8, 2020·Accident; Analysis and Prevention·Shifeng Niu, Satish V Ukkusuri

❮ Previous
Next ❯

Related Concepts

Related Feeds

Bioinformatics in Biomedicine

Bioinformatics in biomedicine incorporates computer science, biology, chemistry, medicine, mathematics and statistics. Discover the latest research on bioinformatics in biomedicine here.