%0 Journal Article %T Identification of Factors Contributing to Traffic Accidents amongst Girls in Tehran with Specific Focus on Psychosocial Factors %J Bulletin of Emergency And Trauma %I Shiraz University of Medical Sciences %Z 2322-2522 %A Tahmasebi, Siyamak %A Javadi, Seyyed Mohammad Hosein %A Azari Arghun, Tahereh %A Edrisi, Forough %A Tajlili, Alireza %D 2020 %\ 01/01/2020 %V 8 %N 1 %P 19-26 %! Identification of Factors Contributing to Traffic Accidents amongst Girls in Tehran with Specific Focus on Psychosocial Factors %K Psychosocial factors %K Traffic accidents %K Automobile driving %K Young girls %R 10.29252/beat-080104 %X 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 ofpolice 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. %U https://beat.sums.ac.ir/article_46348_a8a62ddc361055d495bf17816b9c830c.pdf