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Exploring the Effect of Driving Factors on Traffic Crash Risk among Intoxicated Drivers: A Case Study in Wujiang

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  • Zeyang Cheng

    (Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, China
    Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing 211189, China
    School of Transportation, 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
    Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing 211189, China
    School of Transportation, Southeast University, Nanjing 211189, China)

  • Yunxuan Li

    (Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, China
    Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing 211189, China
    School of Transportation, Southeast University, Nanjing 211189, China)

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.

Suggested Citation

  • Zeyang Cheng & Zhenshan Zu & Jian Lu & Yunxuan Li, 2019. "Exploring the Effect of Driving Factors on Traffic Crash Risk among Intoxicated Drivers: A Case Study in Wujiang," IJERPH, MDPI, vol. 16(14), pages 1-13, July.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:14:p:2540-:d:248926
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    References listed on IDEAS

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    1. Claudia König & Mette V. Skriver & Kim M. Iburg & Gillian Rowlands, 2018. "Understanding Educational and Psychosocial Factors Associated with Alcohol Use among Adolescents in Denmark; Implications for Health Literacy Interventions," IJERPH, MDPI, vol. 15(8), pages 1-13, August.
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    Cited by:

    1. Diana Khan & Akimasa Fujiwara & Yoram Shiftan & Makoto Chikaraishi & Einat Tenenboim & Thi Anh Hong Nguyen, 2022. "Risk Perceptions and Public Acceptance of Autonomous Vehicles: A Comparative Study in Japan and Israel," Sustainability, MDPI, vol. 14(17), pages 1-21, August.
    2. Jiping Xing & Qi Zhang & Qixiu Cheng & Zhenshan Zu, 2022. "A Geographical and Temporal Risk Evaluation Method for Red-Light Violations by Pedestrians at Signalized Intersections: Analysis and Results of Suzhou, China," IJERPH, MDPI, vol. 19(21), pages 1-19, November.

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