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Ontario begins restoring car lanes on Toronto's busiest streets
The province says 56 billion dollars in annual gridlock costs justify redesigns on six Toronto corridors and immediate lane restoration on Bloor Street West.
- On Tuesday, the Ontario government announced it is removing 19 kilometres of bike lanes on major Toronto corridors including Bloor Street, Yonge Street, and University Avenue following a court victory.
- An Ontario Court of Appeal ruling last month upheld the province's authority to redesign public roads, overturning a lower court decision that had blocked Premier Doug Ford's bike lane removal plan.
- Transportation Minister Prabmeet Sarkaria cited a report from the Canadian Centre for Economic Analysis claiming gridlock costs Ontario $56 billion annually, while immediate lane restoration is underway on Bloor Street West.
- Critics including David Shellnut, founding partner of The Biking Lawyer LLC, argue the changes threaten safety, while Toronto Mayor Olivia Chow called bike lanes a "very local" issue that should remain community-led.
- The province's new request for proposals will study design options for six corridors, identifying opportunities to reconfigure cycling infrastructure "where they make sense and do not make gridlock worse," officials stated.
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Ford government says it will move ahead with ripping out bike lanes on stretch of Bloor Street
The Ford government says it is immediately starting to remove bike lanes along a stretch of Bloor Street West and is moving forward with plans to strip lanes from two other major Toronto arteries.
·Toronto, Canada
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Ford government starts process of removing Toronto bike lanes
On Tuesday, the government announced it had put out a request for proposals to take out the 19 kilometres of bike lanes in order to replace them with vehicle lanes, which run along Bloor Street, Yonge Street and University Avenue.
·Vancouver, Canada
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Coverage Details
Total News Sources23
Leaning Left14Leaning Right1Center3Last UpdatedBias Distribution78% Left
Bias Distribution
- 78% of the sources lean Left
78% Left
L 78%
C 17%
Factuality
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