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Young novice driver subtypes: Relationship to driving violations, errors and lapses
Authors:Fabio Lucidi  Anna Maria Giannini  Roberto Sgalla  Luca Mallia  Alessandra Devoto  Simona Reichmann
Affiliation:aDepartment of Development and Socialization Processes Psychology, University of Rome ‘La Sapienza’, Via dei Marsi, 78, 00185 Rome, Italy;bDepartment of Psychology, University of Rome ‘La Sapienza’, Rome, Italy;cDepartment of Public Security, Italian Ministry of Internal Affairs, Rome, Italy
Abstract:The present study aimed to identify, in a large Italian sample of young, novice drivers, specific subtypes of drivers on the basis of combinations of self-reported personality traits (i.e., driving anger, anxiety, angry hostility, excitement-seeking, altruism, normlessness and driving locus of control) and to evaluate their high-risk driving behaviors not only in terms of traffic rule violations and risk-taking behaviors, but also in terms of driving errors and lapses as measured by the Manchester Driver Behavior Questionnaire. Participants were 1008 high school students between the ages of 18 and 23 years, with valid driver's licenses. On the basis of a cluster analysis of the personality variables, three easily interpretable driver subgroups were identified (risky drivers, worried drivers and careful drivers) that differed on self-reported accident involvement, attitudes toward traffic safety and risk perception, as well as on driving violations, errors, and lapses. The inclusion of internal and external driving locus of control, variables not previously considered in similar cluster studies, provided a relevant contribution to the final cluster solution. Further, the use of the Driving Behavior Questionnaire permitted the differentiation between deliberate deviations from safe driving practices and mistakes due to misjudgments or lapses in attention. This distinction was critical for understanding the behavior of each of the three identified subgroups of drivers, and for planning interventions to promote safe driving.
Keywords:Novice drivers  Personality  Cluster analysis  Violations  Errors  Lapses
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