چکیده:
The present article has been compiled with the aim of determining the level of lawlessness among drivers and the social factors affecting it. The research was conducted using a quantitative survey method among 350 drivers of private vehicles, intra-city taxis, and inter-city taxis over the age of 18 in the city of Ahar. The research tool was a questionnaire, and the sampling method was stratified random sampling. Additionally, temporal and spatial sampling were considered during the sampling process. The findings show that on average, out of every hundred drivers, 54.4 people have violated traffic laws. This violation was higher among single drivers, highly educated drivers, and drivers trained in driving schools compared to other groups. The results of this research showed that there is a significant negative and inverse correlation between age, social capital, economic capital, and the level of media use with lawlessness. In total, based on the obtained results, it can be said that social capital, age, economic capital, and media explain 71 percent of the changes in the variable of driver lawlessness.
خلاصه ماشینی:
The results of this study showed that there is a significant negative and inverse correlation between age, social capital, economic capital, and the level of media use with law-breaking behavior.
In total, based on the obtained results, it can be said that social capital, age, economic capital, and media explain 71 percent of the changes in the variable of drivers' law-breaking behavior.
Elizabeth and Hoffman 2 (2006), within the framework of the theory of street, distributive, and relational justice, believe that taxi culture, when the norms of the taxi driver community are violated, requires a high level of labor cohesion, cooperation in case of confrontation, and the imposition of various forms of social supervision.
In general, what is inferred from the review of theories and research results is that driver lawlessness is not a single-cause issue but a multi-causal one, and various reasons such as age, gender, driving experience, personality traits, education, awareness, supervisory systems, social capital, economic capital, national and religious identity, connection to society, etc.
Table 4: Results of the correlation analysis between research variables Level of media use Economic Social Age Driver Capital Capital Lawlessness Correlation coefficient -0.
10249 In the final and modified model of driver lawlessness, the variables of age and social capital have a significant direct and negative effect, while the variables of economic capital, level of media use, and education in driving school do not have a significant direct effect on lawlessness.
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