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In recent years, several websites have been developed allowing drivers to post their complaints about other motorists online. These websites allow drivers to describe the nature of the offensive behaviour and to identify the offending motorist by vehicle type, colour, and license plate number. Some websites also ask drivers to list the location where the event took place and the exact date and time of the offence. The current study was a content analysis of complaints posted to RoadRagers.com between 1999 and 2007 (N=5624). The purpose of the study was to: (1) assess the research value of this novel data source; (2) demonstrate the value of content analysis to the study of driver behaviour; (3) further validate an existing coding scheme; (4) determine whether this new data source would replicate previous research findings regarding the most frequent types of driver complaints and temporal distribution of these reports; (5) provide recommendations for improved driver training and public safety initiatives based on these data. A coding scheme that was originally developed for an assessment of complaints submitted to the Ontario Provincial Police (OPP) (Wickens et al., 2005) was revised to accommodate the new dataset. The inter-rater reliability of the revised coding scheme as applied to the website complaints was very good (kappa=.85). The most frequently reported improper driver behaviours were cutting/weaving, speeding, perceived displays of hostility, and tailgating. Reports were most frequent on weekdays and during the morning and afternoon rush hour. The current study replicated several findings from the analysis of reports to the OPP, but possible differences in the sample and data collection method also produced some differences in findings. The value of content analysis to driver behaviour research and of driver complaint websites as a data source was demonstrated. Implications for driver safety initiatives and future research will be discussed.

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The purpose of this study was to identify personality and individual difference measures related to driver vengeance, as measured by the Driver Vengeance Questionnaire (DVQ; Wiesenthal, Hennessy, & Gibson, 2000). There were 170 undergraduate students who completed paper-and-pencil questionnaires including the DVQ and measures of narcissism, impulsivity, and trait driver stress. A hierarchical linear regressidn predicting DVQ score revealed that being male (β = .25), narcissism (β = .19), and trait driver stress (β = .41) were significantly associated with vengeance. Impulsivity was significant in the third block of the regression but was not a significant predictor of vengeance in the final block. Interactions between gender and the individual difference measures were not significant. The final model accounted for 34% of the variance. Implications of the results and directions for future research are discussed.

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