Institute of Transportation Engineering and Geomatics, Tsinghua University, Beijing 100084, China.
Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China.
Int J Environ Res Public Health. 2020 Feb 12;17(4):1146. doi: 10.3390/ijerph17041146.
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.
本研究旨在探讨沈阳市机动车有责事故中影响伤者严重程度的因素，并分析客、货车事故的共性和差异。我们分析了 2015 年至 2017 年间 1647 起交通事故，其中机动车承担全部或主要责任，包括 1164 起客车事故和 483 起货车事故。我们从事故、驾驶员、时间、空间和环境属性等方面分析了 20 个影响因素，使用二项逻辑回归模型来发现它们与伤者严重程度的统计关联。对于客车，有五个影响因素（侧面碰撞；驾驶违法行为；肇事逃逸；季节和行政区划）与伤者严重程度呈统计学显著相关。对于货车，有三个影响因素（驾驶违法行为；季节和行政区划）与伤者严重程度呈统计学显著相关。驾驶违法行为是客、货车事故伤者严重程度的唯一共同影响因素。侧面碰撞和肇事逃逸是客车事故伤者严重程度的显著影响因素，但不是货车事故的显著影响因素。季节和行政区划对客、货车事故的影响存在差异。基于这些结果，可以采取驾驶员教育和道路基础设施改善等措施，以降低客、货车事故的伤者严重程度。
