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The effects of drink-driving checkpoints on crashes--a meta-analysis
Alena Erke1, Charles Goldenbeld, Truls Vaa
1Institute of Transport Economics, Gaustadalléen 21, 0349 Oslo, Norway. aer@toi.no
Accident; Analysis and Prevention
|August 12, 2009
Summary
Driving under the influence (DUI) checkpoints significantly reduce alcohol-related crashes by at least 17%. Overall crashes decrease by 10-15%, with effectiveness varying by country and study design.
Area of Science:
- Traffic Safety Research
- Public Health Interventions
- Epidemiology
Background:
- Road traffic crashes remain a significant public health concern globally.
- Driving under the influence (DUI) is a major contributing factor to fatal and serious injury crashes.
- DUI-checkpoints are a widely implemented law enforcement strategy to deter impaired driving.
Purpose of the Study:
- To quantitatively assess the effectiveness of DUI-checkpoints in reducing crashes through meta-analysis.
- To identify factors (moderators) influencing the effectiveness of DUI-checkpoints.
Main Methods:
- Conducted a meta-analysis of existing studies on the impact of DUI-checkpoints on crash rates.
- Performed subgroup analyses and meta-regression to investigate moderator variables.
- Examined factors including time period, country, study design, and testing protocols.
Main Results:
- DUI-checkpoints significantly reduce alcohol-involved crashes by a minimum of 17%.
- Overall crashes (alcohol-involved or not) are reduced by approximately 10-15%.
- Effectiveness is highest in the first six months, in Australia, and when all drivers are tested.
Conclusions:
- DUI-checkpoints are an effective strategy for reducing both alcohol-related and all traffic crashes.
- Optimizing checkpoint implementation (e.g., duration, testing all drivers) can enhance effectiveness.
- Further research is needed to explore other potential factors influencing checkpoint efficacy.
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