Abstract
The objective of this study is to find factors influencing the injury severity of vehicle at-fault accidents in Shenyang (China), and discuss the commonalities and differences between passenger and freight vehicle accidents. We analyzed 1647 traffic accidents from 2015 to 2017, in which motor vehicles were fully or mainly responsible, including 1164 traffic accidents caused by passenger vehicles and 483 traffic accidents caused by freight vehicles. Twenty influencing factors from the aspects of accident, driver, time, space and environmental attributes are analyzed to find their statistical connection with injury severity using the binary logistic regression model. For passenger vehicles, five influencing factors (side collision; illegal act while driving; hit-and-run; season and administrative division), showed statistically significant correlations with the injury severity. For freight vehicles, three influencing factors (illegal act while driving; season and administrative division), showed statistically significant correlations with the injury severity. Illegal act while driving is the only common influencing factor for the injury severity of both passenger and freight vehicle accidents. Side collision and hit-and-run are significant influencing factors for the injury severity of passenger vehicle accidents, but not for freight vehicle accidents. Season and administrative division present different results on influencing passenger and freight vehicle accidents. Based on these results, measures including driver education and road infrastructure improvement could be implemented to reduce the injury severity of accidents in passenger and freight vehicles.
Highlights
According to the World Health Organization, the number of road traffic deaths worldwide reached1.35 million in 2016
Based on historical road traffic accident data in Shenyang, this study looks for the common and different factors affecting the deaths of passenger in traffic accidents and freight traffic accidents, and seeks to determine measures by which road traffic safety levels can be improved
Based on binary logistic regression analysis, the results are shown in Table 3, five factors are significant for passenger vehicle accidents and three factors are significant in freight vehicle accidents
Summary
According to the World Health Organization, the number of road traffic deaths worldwide reached1.35 million in 2016. According to the World Health Organization, the number of road traffic deaths worldwide reached. In 2018, a total of 203,049 road traffic accidents occurred in China, which caused 63,772 deaths and 209,654 injured, with direct property damage of 121.313 million yuan. In order to reduce the number of deaths and property losses in road traffic accidents [2] it is necessary to study the relevant factors affecting deaths during road traffic accidents. The studies of motor vehicle accidents include accident frequency studies and injury severity studies [3]. In comparison with accident frequency, injury severity has gained more attention from scholars because it reveals the relationships between different influencing factors and deaths in traffic accidents. Motor vehicles can be divided into passenger vehicles and freight vehicles according to their
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