TY - JOUR
T1 - Factors contributing to hit-and-run crashes in China
AU - Zhang, Guangnan
AU - Li, Guangzhong
AU - Cai, Tiancheng
AU - Bishai, David M.
AU - Wu, Changxu
AU - Chan, Zeyi
N1 - Funding Information:
This research was supported in part by the National Natural Science Foundation of China 71173244 . We would also like to thank Professor Meijin Wang of Sun Yat-Sen University and Haoping Yu of China Guangfa Bank Co., Ltd. for their constructive suggestions and advice.
PY - 2014/3
Y1 - 2014/3
N2 - Hit-and-run accidents, or those where the perpetrator leaves the crash scene without reporting the event, are a serious concern because they can delay the rescue of victims, thereby increasing the fatality rate and severity of injuries. However, only a few studies exist on the factors that influence hit-and-run behavior, particularly in developing countries. Using data collected from Guangdong Province in China, this study applies a logistic regression model to analyze factors associated with hit-and-run behavior in five categories: crash attributes and human, vehicle, road, and environmental factors. This study finds that the probability of hit-and-run behavior increases with accidents that involve pedestrians, occur in dark driving conditions, and are caused by drivers who are male, middle-aged, and without a valid driver's license, extensive driving experience, or automobile insurance. Therefore, we recommend closer supervision and better public education for different groups of people about traffic laws and regulations.
AB - Hit-and-run accidents, or those where the perpetrator leaves the crash scene without reporting the event, are a serious concern because they can delay the rescue of victims, thereby increasing the fatality rate and severity of injuries. However, only a few studies exist on the factors that influence hit-and-run behavior, particularly in developing countries. Using data collected from Guangdong Province in China, this study applies a logistic regression model to analyze factors associated with hit-and-run behavior in five categories: crash attributes and human, vehicle, road, and environmental factors. This study finds that the probability of hit-and-run behavior increases with accidents that involve pedestrians, occur in dark driving conditions, and are caused by drivers who are male, middle-aged, and without a valid driver's license, extensive driving experience, or automobile insurance. Therefore, we recommend closer supervision and better public education for different groups of people about traffic laws and regulations.
KW - China
KW - Hit-and-run
KW - Logistic regression
KW - Road safety
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U2 - 10.1016/j.trf.2013.12.009
DO - 10.1016/j.trf.2013.12.009
M3 - Article
AN - SCOPUS:84893090678
SN - 1369-8478
VL - 23
SP - 113
EP - 124
JO - Transportation Research Part F: Traffic Psychology and Behaviour
JF - Transportation Research Part F: Traffic Psychology and Behaviour
ER -