Personality correlates of accident-proneness in truck drivers passing by one of the state highway of India

Gowda, Sudhir; Rangaswamy, Namith; Rudresh, Harish Bekkalele

doi:10.18203/2394-6040.ijcmph20162052

Cited by 3 publications

(1 citation statement)

References 8 publications

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“…The related literature revealed the role of risky behaviors in road traffic accidents and injuries. Studies in China,[ 8 ] India[ 9 ] and Egypt[ 10 ] reported frequent risky behaviors among drivers of heavy vehicles. [ 11 12 13 14 ] indicated that dangerous driving behaviors play a significant role in traffic fines.…”

Section: Introductionmentioning

confidence: 99%

Driving fine and its relationship with dangerous driving behaviour among heavy vehicle Drivers

Karamali

Kashani²,

Akbari³

et al. 2022

Indian J Occup Environ Med

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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.

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