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Assessing the relationship between self-reported driving behaviors and driver risk using a naturalistic driving study
1College of Transportation Engineering, Tongji University, Shanghai, 201804, China; The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Shanghai, 201804, China; National Engineering Laboratory for Integrated Optimization of Road Traffic and Safety Analysis Technologies, 88 Qianrong Rd, Wuxi 214151, China.
Accident; Analysis and Prevention
|April 8, 2019
Summary
Drivers engaging in inattention errors and ordinary violations, like running red lights, are more likely to be involved in crashes and near crashes (CNCs). Aggressive and ordinary violations also increase the risk of being a high- or moderate-risk driver.
Area of Science:
- Traffic Psychology
- Road Safety Research
- Behavioral Science
Background:
- The Manchester Driver Behavior Questionnaire (DBQ) identifies risky driving behaviors linked to psychological factors.
- Understanding the connection between driver behaviors and crash risk is crucial for developing effective safety interventions.
Purpose of the Study:
- To examine the relationship between self-reported driving behaviors and involvement in crashes and near crashes (CNCs).
- To assess how specific risky behaviors correlate with an individual driver's CNC risk.
Main Methods:
- Utilized data from the Shanghai Naturalistic Driving Study (45 males, 12 females, mean age 38.7).
- Employed K-mean clustering to categorize drivers into high-, moderate-, and low-risk CNC groups.
- Applied Principal Component Analysis to the DBQ (24 items) revealing five factors: aggressive violations, ordinary violations, lapses, inattention errors, and inexperience errors.
- Developed logistic regression models to analyze the correlation between DBQ components and CNC levels.
Main Results:
- High-risk drivers showed a significantly higher propensity for inattention errors (e.g., missing signs) and ordinary violations (e.g., running red lights).
- Aggressive violations and ordinary violations were positively associated with being a high- or moderate-risk driver.
Conclusions:
- Inattention errors and ordinary violations are key indicators of higher crash and near-crash involvement.
- Targeting aggressive and ordinary violations in driver education and road safety strategies can mitigate risks for high- and moderate-risk drivers.
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