Exploring the Effect of Driving Factors on Traffic Crash Risk among Intoxicated Drivers: A Case Study in Wujiang
Zeyang Cheng,
Zhenshan Zu,
Jian Lu and
Yunxuan Li
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Zeyang Cheng: Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, China
Zhenshan Zu: Traffic Police Brigade of Wujiang Public Security Bureau, Suzhou 215200, China
Jian Lu: Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, China
Yunxuan Li: Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, China
IJERPH, 2019, vol. 16, issue 14, 1-13
Abstract:
Intoxicated driving is a threat to both drivers and other road users. Exploring the association between intoxicated driving factors and traffic crashes is essential for taking effective countermeasures. Most previous works have studied the relation between intoxicated driving and traffic crash based on some large-sized cities. The current study aims to evaluate the effect of driving factors on traffic crashes among intoxicated drivers in a small-sized city in China. Descriptive statistics and binary logistic regression analysis are performed to guide the study, and the data (N = 1010) for the period 2016–2017 in Wujiang (i.e., a small-sized city in China) are employed as the target samples. The results demonstrate age, years of driving experience, road position, week, hour and blood alcohol concentration (BAC) are associated with traffic crashes in Wujiang. Specifically, the age of “18–25”, the years of driving experience of “≤2”, the “road intersection”, the “weekend”, the period of “0:00–6:59” and the BAC of “above 150 mg/100 mL” are more likely to cause traffic crashes among intoxicated drivers. The findings can be referred to make some targeted policies or measures to relieve Wujiang’s intoxicated driving situation and reduce the number of crashes caused by intoxicated driving.
Keywords: intoxicated driving; traffic crashes; binary logistic regression; targeted policies (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (2)
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