| ORIGINAL ARTICLE |
|
| Year : 2022 | Volume
: 26
| Issue : 4 | Page : 266-272 |
Driving fine and its relationship with dangerous driving behaviour among heavy vehicle Drivers
Masoud Motalebi Kashani1, Hossein Akbari2, Hamidreza Saberi1, Reihaneh Ghorbanipour3, Fahimeh Karamali4
1 Social Determinant of Health Research Center, Kashan, Iran
2 Trauma Research Center, Kashan, Iran
3 Department of Occupational Health, School of Health, Tehran University of Medical Sciences, Tehran, Iran
4 Department of Health, Safety and Environmental Management, School of Health, Kashan University of Medical Sciences, Kashan, Iran
Correspondence Address:
Fahimeh Karamali
Kashan University of Medical Sciences, Kashan
Iran
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/ijoem.ijoem_45_22
Context: There is a significant difference between actual and existing statistics of traffic fines; since some invisible fines and most of the visible traffic violations cannot be recorded by traffic officers. Therefore, dealing with driving fines and road fatalities is considered an important issue in social and public management worldwide. Aims: Explore the factors associated with unsafe behaviors and getting traffic fines among a sample of Iranian heavy-vehicle professional drivers. Settings and Design: The present cross-sectional study was conducted in Iran, from February 2019 to September 2020. Methods and Material: This study used the driver behavior questionnaire (DBQ), demographic and driving characteristics, the number of fines, and structural equation modeling. Also, in this study 320 professional drivers participated. Statistical Analysis Used: This article used structural equation modeling for Statistical analysis. Results: The results of structural equation modeling analysis indicated that the data fit well with the theoretical model proposed in this study. The number of fines was directly predicted by both demographic and driving characteristics and risky driving behaviors. A significant relationship was observed between, driving hours, driving experience, and smoking, respectively, with a mistake, slip, and risky violation. There was a negative correlation between education and all four sub-scales of risky driving behaviors. Conclusions: In order to reduce traffic fines, training courses on increasing attention and precision in drivers' observations and judgments are useful. The courses can decrease traffic violations by trying to change beliefs, attitudes, and social norms. It is therefore helpful to understand the ways to change the drivers' attitudes.
[FULL TEXT] [PDF]*
|
