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Measuring car drivers' skills--an economist's view
1Department of Economics, Nordland College, Bodø, Norway.
Accident; Analysis and Prevention
|October 1, 1993
Summary
Driver training models reveal that slippery surface courses may increase accident rates. This occurs because drivers overestimate risks before training, and courses reduce risk perception more than actual skidding risk.
Area of Science:
- Traffic Safety Research
- Behavioral Psychology
- Driver Training Analysis
Background:
- Assessing the impact of driver training on behavior is crucial for road safety.
- Previous studies suggest a complex relationship between driver education and accident rates.
- Understanding driver risk perception is key to effective safety interventions.
Purpose of the Study:
- To develop a model for evaluating driver behavior and skills.
- To analyze the influence of specific training courses on driving performance.
- To investigate the paradoxical increase in accident rates following slippery surface driving courses in Norway.
Main Methods:
- Development of a novel model to quantify driver behavior and skills.
- Analysis of driver behavior data in the context of training interventions.
- Examination of a Norwegian investigation into slippery surface driving courses.
Main Results:
- The developed model successfully defines and quantifies driver skills.
- Slippery surface driving courses in Norway were associated with a significant increase in traffic accidents.
- Drivers undergoing these courses showed a greater reduction in perceived risk than in objective skidding risk.
Conclusions:
- Driver training models can effectively assess skill development and training impact.
- Slippery surface courses may inadvertently increase risk-taking due to altered risk perception.
- Future driver training should address risk perception alongside technical skills to enhance road safety.
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