Identification of Factors Contributing to Traffic Accidents amongst Girls in Tehran with Specific Focus on Psychosocial Factors

Objective: to identify the human factors contributing to traffic accidents with a special focus on psychosocial factors amongst young girls of tehran, iran. methods: in a descriptive study conducted in tehran, iran in 2013, 108 girls aged 18-24 were enrolled by using a stratified cluster sampling method. participants filled a wide range of validated questionnaires about traffic psychology. results: the developed psychological model about behaviors of drivers’ factors as well as agreeable and aggressive personality trait with b coefficient of 0.25% and 0.37% were able to predict violation, driving style, perception of police laws, and off hook scheme and the mistrust with b coefficient of 0.33%, 0.23% and 0.28% in the level of 0.1 were able to predict violations and lapses of sample group, respectively. extroversion with b coefficient of 0.27% also predicted unintentional violations of girls. b coefficient for perception of police laws was 0.22%. this was 0.25% for openness to experiences. concerning driving accidents, the perception of police rules has the highest predictability. conclusion: according to the results of the current research amongst girls in tehran, a gender-sensitive interventional model can be designed for reduction of traffic accidents for this population group.