Designing a Model for the Prevention of Traffic Crimes and Violations

Lack of an appropriate local model of management, both criminal and non-criminal of crime and traffic violations for commanders and managers of urban traffic and traffic managers of the Islamic Republic of Iran, is one of the most important issues facing them in carrying out important prevention mission in driving violations and offenses in the current situation. Therefore, the purpose of this study is to design a model for the prevention of driving offenses.

This research is applied-developmental in terms of purpose and descriptive-survey in terms of quantitative methods of data collection. The statistical population includes traffic police officers in Tehran, as well as drivers who violated the law in the investigation period. Simple random sampling and statistical sample included 264 and 277 drivers and traffic police officers, respectively. Data were collected using a researcher-made questionnaire and data were analyzed using SPSS and Smart PLS statistical software.

It showed that at the level of 0.95, there is a relatively strong relationship between the variables with the pattern of crime prevention and driving violations, which has the highest effect of prevention related to the prevention of circuit growth with 63.8 (strong relationship), criminal prevention with 42 (Strong relationship), social prevention with a value of 38.1 (moderate relationship) and finally the lowest value related to situational prevention with a value of 16.5 (weak relationship) compared to the pattern of prevention of crimes and driving violations. Also, the factor loads of developmental prevention are equal to 0.789, criminal prevention is equal to 0.648, social prevention is equal to 0.617 and finally situational prevention is equal to 40.6 which are more than 0.4 which is at the level of 0.95. It is meaningful.

Finally, 4 variables, 14 components and 104 indicators including growth-oriented prevention variables including family-oriented programs, school-based programs, for social prevention variables including social constraints, risk management, awareness, program Community-based and specialized police training, for the situation prevention variable including patrolling, intangible control, use of cameras and intelligent systems for recording violations, and finally for the criminal prevention variable components of punishment certainty, certainty of punishments and The severity of the punishments.