Tahmasebi Siyamak, Javadi Seyyed Mohammad Hossein, Azari Arghun Tahereh, Edrisi Forughe, Tajlili Alireza
Social Work Department, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
Preschool Department, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
Bull Emerg Trauma. 2020 Jan;8(1):19-26. doi: 10.29252/beat-080104.
To identify the human factors contributing to traffic accidents with a special focus on psychosocial factors amongst young girls of Tehran, Iran.
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.
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.
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.
确定导致交通事故的人为因素，特别关注伊朗德黑兰年轻女孩的社会心理因素。
2013年在伊朗德黑兰进行的一项描述性研究中，采用分层整群抽样方法招募了108名年龄在18 - 24岁的女孩。参与者填写了一系列关于交通心理学的有效问卷。
所建立的关于驾驶员因素行为以及随和与攻击性人格特质的心理模型，其B系数分别为0.25%和0.37%，能够预测违规行为、驾驶风格、对警察法规的认知、脱钩计划，而在0.1水平上，不信任的B系数分别为0.33%、0.23%和0.28%，能够分别预测样本组的违规行为和失误。外向性的B系数为0.27%，也能预测女孩的无意违规行为。对警察法规认知的B系数为0.22%。经验开放性的B系数为0.25%。关于驾驶事故，对警察规则的认知具有最高的可预测性。
根据目前在德黑兰女孩中开展的研究结果，可以设计一种对性别敏感的干预模型，以减少该人群的交通事故。
