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OPP Urge Safe Celebrations as Festive RIDE Campaign Begins
The campaign increases checkpoints and enforcement to remove impaired drivers; 34 alcohol/drug-related deaths occurred on OPP roads this year, police said.
- The Ontario Association of Chiefs of Police launched the provincial Festive R.I.D.E. campaign at the Best Western Hotel in North Bay this year, with police chiefs attending to remove impaired drivers from Ontario roadways.
- With impaired driving rising on OPP-patrolled roads, officials report nearly 100 people injured daily and 616 deaths in 2023.
- Lambton OPP said officers will increase checkpoints and visibility, applying detection tools during targeted spot checks and urging the public to report impaired drivers by calling 911.
- The Ontario government introduced tougher impaired-driving penalties that took effect January 1, including a 90-day roadside suspension and a $550 fine for BAC at or above 100. The Ford government is also proposing a lifetime driving ban for impaired driving causing death.
- Police thanked residents for more than 21,000 calls and urged members of the public and community hosts to plan ahead and make responsible choices to prevent impaired driving.
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OPP urge safe celebrations as Festive RIDE campaign begins
Road users can expect to see an increase in OPP RIDE initiatives throughout the province
·Elliot Lake, Canada
Read Full ArticleFirst Night Of Festive RIDE Program Results In Impaired Charge
BANCROFT-The Bancroft OPP Detachment launched its annual Festive RIDE program on November 19, resulting in one impaired driving arrest. Officers were conducting a RIDE program around 10:00 p.m. on Wednesday, November 19, 2025, at the intersection of Loop and Elephant Roads. One driver underwent roadside testing and was subsequently arrested and transported to the detachment for additional testing by an OPP drug recognition expert. Craig Storrie,…
·Kawartha Lakes, Canada
Read Full ArticleCoverage Details
Total News Sources15
Leaning Left8Leaning Right1Center0Last UpdatedBias Distribution89% Left
Bias Distribution
- 89% of the sources lean Left
89% Left
L 89%
11%
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