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Montreal mayor says she got two flat tires due to potholes on busy street
Mayor Soraya Martinez Ferrada highlights pothole crisis worsening after January thaw; flat-tire service calls rose 75% in Montreal, CAA Québec reports.
- On Monday evening, Montreal Mayor Soraya Martinez Ferrada suffered two flat tires after driving over potholes on Notre‑Dame Street and posted a video with the tow‑truck operator saying, 'Two tires, two flats.'
- A January thaw produced numerous potholes across Montreal, and CAA Québec reported flat-tire calls in Montreal and Laval jumped 75 per cent from Jan. 9 to 20 compared with last year.
- Martinez Ferrada said the city is operating in emergency mode to patch streets, but 25 per cent of equipment is broken or missing, slowing repairs by Montreal city crews.
- City officials are preparing an action plan for spring and summer to repair streets and are working with boroughs to identify needed tools; drivers are urged to slow down as not all streets can be fixed immediately.
- With her first winter in office, Soraya Martinez Ferrada warned the worst is yet to come when the spring thaw arrives and described the pothole situation as "catastrophic" with record complaints, noting Notre‑Dame Street was named the city's worst road.
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32 Articles
32 Articles
"The streets don't make sense," concludes Soraya Martinez Ferrada in a video posted on social media.
·Montreal, Canada
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The Mayor of Montreal, Soraya Martinez Ferrada, was the victim of two punctures after driving in a pothole on Notre-Dame Street.
·Montreal, Canada
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a mayor of Montreal, Soraya Martinez Ferrada, was the victim of two punctures after driving in potholes on Notre-Dame Street.
·Montreal, Canada
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Mayor Soraya Martinez Ferrada once again denounced on Monday the "disaster" state of the roads, calling into question the lack of equipment to close the potholes. She promised to unveil soon a plan for the spring, in order to tackle the structural causes of the problem.
·Montreal, Canada
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Total News Sources32
Leaning Left18Leaning Right0Center5Last UpdatedBias Distribution78% Left
Bias Distribution
- 78% of the sources lean Left
78% Left
L 78%
C 22%
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