Investigating the escaping law causes of motorcyclists in the use of helmets using the triaxial model

Today, in Iran country, about 25 percent of all fatalities are motorcyclists that according to forensic reports, more than half of motorcyclists died due to hit on head that if the helmet is properly used, the number of casualties will be significantly reduced. For this purpose,, this study aimed to investigate the causes of lawlessness of Motorcyclists in the use of helmets and to assist decision makers to adjust programs to increase the use of helmet.

This study is practical in terms of purpose; Because of the relationship between the variables identified in the research literature, it tests in a particular community and in terms of data collection and analysis method , a descriptive-analytical research in type of survey (field) with combined research approach and also a correlation study in terms of nature that tries to identify the relationship between the two main variables, the triaxial model and lawlessness of Motorcyclists in the use of helmets. The statistical population of this study is strategic and security managers in the traffic are. The statistical sample size is 60  of these managers who have been selected in all numbers. In order to evaluate the traffic managers' opinions, a researcher-made questionnaire was prepared and the data collected was analyzed by Spearman correlation test.

Data analysis showed that all three research hypotheses were confirmed and a combination of behavioral, structural and contextual factors influence in escaping Law of motorcyclists in the use of helmets and contextual factors are more effective to a greater than average degree in escaping Law of motorcyclists in the use of helmets and compared to structural and behavioral factors they need more strengthening and investigating.

Given the increasing importance of intelligent transportation systems,  unfortunately in our country, according to the results of this study, optimal use of these systems has the least effect on preventing from escaping law of  motorcyclists that with appropriate solutions such as motorcycles numbering and ... , maximum utilization can be achieved the most of from the existing smart features.