Predicting driving behavior based on the tendency to Lawlessness in drivers of public transport in Urmia

The aim of this study was to predict driving behavior based on the tendency to Lawlessness in drivers of public transport in Urmia. The method of this research was descriptive-correlational. The statistical population of the present study includes taxi drivers in Urmia in 2021. In the present study, 200 taxi drivers were selected using the available method. In the executive process, before sampling, explanations were given to the individuals about the purpose of the study and maintaining the confidentiality of the materials, and at the same time, informed consent to participate in the research was received from the individuals, then questionnaires were received from the sampled taxi drivers. Data analysis was performed using Pearson correlation and Inter regression and SPSS 18 software. Shows a significant correlation between lawlessness and driving behavior, and specifically there is a significant positive correlation between lawlessness (0. 33) with driving behavior. Lawlessness (0. 290) is involved in predicting driving behavior, and the values obtained from the t-statistic indicate a significant prediction of the driving behavior variable. Also, according to the values obtained from (Beta), illegalities (0. 234) have an effect on driving behavior. These results emphasize the role of social inhibitors in driving behavior.