Multi-group Variance Based Structural Equation Modeling (VB-SEM) across the three age groups showed that the hypothesized model had a good fit with the data in all the three age groups. The study involved 1,286 drivers from three different age groups (young: n = 435 adult: n = 412 old: n = 439) which completed a questionnaire measuring drivers’ personality traits (i.e., anxiety, hostility, excitement seeking, altruism, normlessness), positive attitudes toward traffic safety, risky driving behaviors (i.e., errors, lapses, and traffic violations), accident involvement and number of traffic fines issued in the last 12 months. Answering this open question would provide information about the generalizability of the model across different subpopulations and would make possible the tailoring of the interventions to specific target groups. However, to the best of our knowledge, no studies so far have investigated the possible moderating role played by age in relation to predictors of accident risk.
In the last few decades, several studies have investigated the role of personality traits and attitudes toward traffic safety in predicting driving behaviors in diverse types of drivers across several countries.
1Department of Social and Developmental Psychology, La Sapienza University of Rome, Rome, Italy.Fabio Lucidi 1*, Laura Girelli 2, Andrea Chirico 1, Fabio Alivernini 3, Mauro Cozzolino 2, Cristiano Violani 4 and Luca Mallia 5
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