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Drinking and driving prevention in the community: program planning and implementation

R B Voas1

  • 1Prevention Research Center, Berkeley, California, USA.

Addiction (Abingdon, England)
|June 1, 1997
PubMed
Summary
This summary is machine-generated.

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Community interventions to reduce drunk driving, including sobriety checkpoints, were implemented. Arrest rates increased at trial sites, unlike comparison sites where arrests declined, suggesting program effectiveness.

Area of Science:

  • Public Health
  • Criminology
  • Transportation Safety

Background:

  • Drunk driving remains a significant public health and safety concern.
  • Previous enforcement strategies have varied in effectiveness.
  • Community-based approaches are being explored to address alcohol-related traffic incidents.

Purpose of the Study:

  • To describe the development and implementation of a "Drinking and Driving Component" within a larger community trials project.
  • To present a conceptual model for alcohol-related trauma project enforcement.
  • To evaluate the impact of these interventions on driving under the influence (DUI) arrest rates.

Main Methods:

  • Implementation of a "Drinking and Driving Component" across three community trial sites.
  • Utilized a conceptual model for enforcement within a comprehensive community alcohol-related trauma project.

Related Experiment Videos

  • Employed media advocacy and publicized sobriety checkpoints and sensor operations.

    • Main Results:

    • Police department resource limitations caused implementation delays.
    • Media advocacy successfully publicized enforcement operations.
    • Sobriety checkpoints showed only partial public acceptance.
    • Community trial sites maintained or increased DUI arrest rates, while comparison sites saw declines.

    Conclusions:

    • Community-based enforcement strategies, despite challenges, can help maintain or increase DUI arrest rates.
    • Media advocacy is a valuable tool for publicizing enforcement efforts.
    • Further research is needed to optimize the implementation and acceptance of sobriety checkpoints.