Citation

Tahmasebi S, Javadi SMH, Azari Arghun T, Edrisi F, Tajlili A. Bull. Emerg. Trauma 2020; 8(1): 19-26.

Affiliation

Country Coordinating Mechanism, Global Fund, Tehran, Iran.

Copyright

(Copyright © 2020, Trauma Reseach Center, Shiraz University of Medical Sciences)

DOI

10.29252/beat-080104

PMID

32201698

PMCID

PMC7071933

Abstract

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.

Language: en

Keywords

Automobile driving; Psychosocial factors; Traffic accidents; Young girls