Aberrant Driving Behaviours on Risk Involvement among Drivers in China
| Autor: | Wen-hao Yu, Qiu-ling Wang, Juan Yin, Hai-peng Shao |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
050210 logistics & transportation
Economics and Econometrics TA1001-1280 Article Subject Strategy and Management Mechanical Engineering 05 social sciences Applied psychology Exploratory factor analysis Computer Science Applications Transportation engineering Drunk driving 0502 economics and business Automotive Engineering Distracted driving 0501 psychology and cognitive sciences Psychology China Transportation and communications 050107 human factors Educational training HE1-9990 |
| Zdroj: | Journal of Advanced Transportation, Vol 2020 (2020) |
| ISSN: | 2042-3195 0197-6729 |
| Popis: | The purpose of this study is to validate the version of Driver Behaviour Questionnaire (DBQ) by considering distractions, fatigue, and drunk driving, the main reasons for accidents in China, as independent parts of violations and errors and further explore the effects of demographic/driving variables and all factors on risk involvement (accident involvement and penalized points). 241 drivers filled in a self-completion questionnaire with 28 items conducted in Xi’an in August 2018. Exploratory factor analysis confirmed a five-factor structure, including violations, distracted driving, errors, drunk driving, and fatigued driving. The frequency of aberrant driving behaviours indicated that distractions were the most prevalent behaviours followed by fatigue. The results showed that drivers with lower education and longer annual mileages were positive with accident involvement while there was no significance in penalized points. Violations and distractions were important factors causing both accidents and penalized points. Therefore, it is effective to reduce accident involvement by establishing educational training and related laws or installing intelligent monitor vehicle equipment to warn drivers to improve safety. |
| Databáze: | OpenAIRE |
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