AI Article Synopsis

  • Driving under the influence of alcohol, drugs, and fatigue significantly contributes to car crashes, and understanding driver attitudes toward these issues is crucial.
  • A survey analysis using methods like Principal Component Analysis (PCA) helped consolidate related questions about impaired driving into more manageable factors for better insights.
  • The results showed that drivers' acceptance of impaired driving, their personal behaviors regarding it, and the frequency of police checks on journeys were positively associated with past crash involvement.

Article Abstract

Driving under the influence of alcohol, drugs and fatigue are all important factors of crash causation. Exploring the link between driver attitudes and crash involvement provides understanding on these important issues. To that end, questionnaire answers of car drivers disclosing their attitudes on the impacts of driving under the influence of alcohol, drugs and fatigue, and their relationship with past crash involvement as car drivers were analysed. A two-step approach is adopted: Principal Component Analysis (PCA) was employed to consolidate relative questions in numeric factor quantities. Afterwards, binary logistic regression was implemented on the calculated component scores to determine the impact of perspectives of road users for each factor on past crash involvement of car drivers. Data from the international ESRA2015 survey were utilized. PCA indicated that it is possible to meaningfully merge 29 ESRA2015 questions relevant to driving under the influence of alcohol, drugs and fatigue into 8 informative components accounting for an adequate percentage of variance. Binary logistic analysis indicated that components involving overall personal and communal acceptance of impaired driving, overall and past year personal behaviour towards impaired driving and frequency of typical journey checks by traffic police were all quantities positively correlated with past crash involvement.

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Source
http://dx.doi.org/10.1080/17457300.2021.1928234DOI Listing

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