Objectives: This research aims to carry out a first validation of the QAR-Precon screening questionnaire applied in Catalonia during the drivers initial training, analyse the differences in risky road user behaviour according to two main variables: whether they had any experience of an accident and sex and examine the different risky road user patterns of pre-drivers. Methods: In order to group the questionnaire variables together, an exploratory factorial analysis (principal component analysis (PCA)) was used. Subsequently, the reliability coefficients of the questionnaire and the subscales were calculated. Lastly, ANOVA models were used to compare differences in the whole sample and a cluster analysis was performed to identify different risky pre-driver groups. Results: The factorial analysis (PCA) reveals the existence of five risk factors (speed and risk, external circumstances, distraction, alcohol and driving and other elements of driving) that explain 44.6% of the variance. More males than females reported that they had a higher tendency to take risks in all the risky factors exposed and injured pre-drivers reported less awareness of road safety than pre-drivers who had not been injured. A two-cluster solution indicated that it was possible to distinguish a group of pre-drivers who engaged in high risky behaviour (high group) from the group who engaged in moderate and low levels of risky road user behaviour (low group). Conclusions: The implications of these findings for programme designs and training initiatives to improve efficiency in reducing the accident rate are discussed. © 2013 Taylor and Francis Group, LLC.
|Journal||Journal of Risk Research|
|Publication status||Published - 1 May 2013|
- accident involvement
- risky driving factors
- risky pre-drivers profiles
- risky road user behaviour
- road safety education