Interpersonal violations, speeding violations and their relation to accident involvement in Finland.
The aim of the present study was to replicate the distinction between errors, lapses and violations, and to identify aggressive violations from normal or highway code violations. Furthermore, the relationship of these behaviours with road traffic accidents was examined. A total number of 1126 Finnish drivers completed a questionnaire containing the Driver Behaviour Questionnaire (DBQ) with extended violations scale, and questions regarding background information, such as age, gender and mileage. Also, questions about previous accidents and fines were asked. Factor analysis showed that a four-factor structure seemed more appropriate than the earlier established three-factor structure. The four factors were errors, lapses, speeding violations and interpersonal violations. The two types of violations result from different motives, and seem to be associated with different kinds of affect. Both interpersonal and speeding violations were reported most by young males, which was consistent with earlier findings. Logistic regression analyses indicated that errors predicted active accident involvement after partialling out the effects of demographic variables, whereas interpersonal violations were positively related to involvement in passive accidents. This was presumably due to different reporting tendencies of respondents. Speeding tickets were predicted by speeding and interpersonal violations and lapses and penalties for speeding by both kinds of violations and errors. Penalties for speeding, parking and other offences were predicted by interpersonal violations. The implications of these results are discussed.
Mesken
Jolieke
J
Traffic Research Unit, Department of Psychology, University of Helsinki, Finland. jolieke.mesken@swov.nl
Lajunen
Timo
T
Summala
Heikki
H
D000057:Accident Proneness; D000063:Accidents, Traffic / Q000523:psychology / Q000706:statistics & numerical data*; D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D000374:Aggression; D001334:Automobile Driving / Q000523:psychology* / Q000706:statistics & numerical data*; D005163:Factor Analysis, Statistical; D005260:Female; D005387:Finland; D006801:Humans; D007398:Interpersonal Relations; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D012737:Sex Factors; D011795:Surveys and Questionnaires