Assessment of Behavior related to road Safety Based on Vehicle Longitudinal Acceleration and Self-Reporting among Miandoab city drivers during 1400
Abstract
Introduction and goal
In our country, about 17,000 people die each year due to traffic accidents. In addition to imposing a cost of 6 billion dollars, annual traffic accidents also have negative social and psychological effects. The present study was conducted with the aim of investigating the traffic safety-related behavior of drivers.
materials and methods
This cross-sectional study was conducted with the aim of investigating the behavior of drivers in 1400, with two methods of measuring the vehicle's longitudinal acceleration using the GPS data recording application of drivers' cell phones and the self-reporting of drivers (Manchester Questionnaire) in Miandoab city. The number of 200 drivers was checked by questionnaire and at the same time the acceleration of 114 of these drivers was also checked using mobile phones.
Results and findings
The results of the study show that the highest average scores of the questionnaire were in the field of intentional violations and the lowest average scores of the questionnaire were in the field of unintentional violations. In other words, these two areas can predict drivers' behavior and accidents. If these violations are reduced, they can lead to a reduction in accidents. There was a significant difference between the average scores of the entire questionnaire in sub-diploma levels and all education levels, as well as between diploma and bachelor's degree and between diploma and master's degree and above. There was a significant difference between the average score of the driver questionnaire and the number of accidents. Also, a significant difference was observed between the average of the subscales of the questionnaire and the number of accidents.
In this study, the mean and standard deviation of drivers' acceleration were obtained as 0.363 and -0.039 respectively. There was a significant difference between the number of driving hours during the week and the average acceleration score of the drivers.
Conclusion
In this study, with the increase in the level of literacy, we saw a decrease in the average scores of the questionnaire, in other words, with the increase in literacy, the incidence of risky driving behavior decreases. Therefore, in the selection of drivers, the level of literacy should be considered. To select the target groups of education, drivers with low literacy level should be prioritized. The field of intentional and unintentional violations predicts traffic accidents. By reducing traffic violations, traffic accidents will also decrease.
In this study, mobile phones were used to check the acceleration of drivers. Therefore, by using a mobile phone, driving parameters (speed, acceleration, etc.) can be checked and based on these parameters, drivers with risky behavior can be identified