Sara Arvidsson: VTI, Postal: Centrum för Transportstudier (CTS), Teknikringen 10, 100 44 Stockholm, Sweden
Abstract: Risky driving behavior is regarded as being one of the best predictors of traffic accidents. Traffic violations certainly signal risky driving behvior, but the analysis of the linkage of traffic violations, individual and vehicle characteristics and annual mileage has so far been hampered by the difficulty of gaining access to appropriate disaggregate data. The contriburion of this paper is that it sets out and explores a rich data set in order to study traffic violotions, including both accident-involved and accident-free individuals. The data set comprises att insurance poicies from Sweden's largest automobile insurance company covering several years, in total 9.3 million observations, as well as information on fines and convictions for traffic violations. This implies that the methodological issues associated with self-reported violotions and only accident-involved individuals are disused. The first purpose is to extablish the role of age and gender in traffic violations. The results support previous findings as well as confirms the association between owners of status brands and traffic violations. The main conclusion is that insurance data rpvides a vialble option when studying behavior, but it also raises new methodological issues.
33 pages, November 2, 2011
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