How to design and implement a drinking and driving programme pdf ...

The enforcement process
Drinking and Driving: a road safety manual
Effective and efficient law enforcement interventions are critical in achieving a
reduction in road trauma and do not necessarily require high-cost, modern technology
or a huge resource commitment. Enforcement should be “intelligence-led”,
which requires:
• acknowledging and understanding the drinking and driving problem through data
collection and analysis;
• understanding community perceptions and political commitment regarding
drinking and driving. Public pressure on politicians can lead to greater support for
more intense enforcement of drinking and driving laws. Political will is critical in
ensuring consistent community education and the enforcement of drinking and
driving laws.
• expanding the programme slowly based on lessons learned in pilot communities.
Pilot programmes enforcing drink-driving laws should be undertaken in communities
where there is known political and community commitment to reducing the
incidence of drinking and driving.
3 | How to design and implement a drinking and driving programme
Data that can guide intelligence-led enforcement
• Accurate statistics on fatalities, serious injuries, injuries and crashes, and the
role alcohol plays as a causal factor.
• Crash data as it relates to times of the day, days of the week and particularly
critical locations. If presented in an appropriate format, this data will provide
the profile on high alcohol times, days of the week and locations upon which
to focus police resources for maximum effect.
• Accurate statistics on the amount of alcohol consumed by offending drivers.
• The locations where drivers consumed the alcohol – this information can assist
with targeted enforcement and educational intervention campaigns.
• Blood alcohol readings of drivers admitted to hospital.
• The BAC readings obtained from apprehended offenders.
• The toxicology reports from the coroner’s court relative to all deceased drivers.
• The identification of high-risk user groups by age or social standing, thereby
assisting strategies for targeted enforcement and specific education.
• Data collected must be accurate and analysed for trends to determine
enforcement strategies and, most importantly, must be maintained for
assessing performance outcomes.
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