Transport Canada announces six projects to improve supply chain

The MV Algoma Discovery docks at the Port of Toronto. (CNW Group/PortsToronto)

Ontario Construction News staff writer

Transport Canada announced more than $12 million through the National Trade Corridors Fund. Six projects received funding to improve Canadian supply chain efficiency by reducing bottlenecks in key corridors.

They are:

  • Buffalo and Fort Erie Public Bridge Authority: $5 million to install non-intrusive inspection technologies for commercial vehicles that will facilitate more efficient processing and reduced wait-times for trucks entering the U.S.
  • John’s Port Authority: $4.2 million for the wharf redevelopment at Pier 20 West and Pier 21 to address the growing demand for servicing inshore fishing vessels
  • BlueNode Inc.: $2 million for an artificial intelligence platform that will improve supply chain visibility at Canadian ports and support greater collaboration through intermodal interfaces
  • Province of British Columbia: $675,000  to study of the Moray Bridge to improve the efficient movement of goods and people, increase the capacity and reliability of transportation and trade networks and address the projected impacts of climate change on key infrastructure
  • City of North Bay: $75,000 for a feasibility study to find options that will enhance capacity of North Bay’s trade corridor
  • Toronto: $74,500 to assess the condition of old dockwalls at the Port of Toronto, resulting in a work plan to repair and upgrade the dockwalls to modern standards

“Moray bridge links Vancouver Airport to Metro Vancouver, a crucial link in our supply chain. By investing in understanding how climate change could impact it and how we could make transportation even more fluid, our government is taking action to make our supply chain strong and resilient,” said Wilson Miao, MP for Richmond Centre.

LEAVE A REPLY

Please enter your comment!
Please enter your name here

I accept the Privacy Policy

This site uses Akismet to reduce spam. Learn how your comment data is processed.