Mode Split Challenge

Mode Split Challenge

The City of Vancouver is exploring how big data, AI, and machine learning can help achieve their efforts to tackle climate change.

Innovation Marketplace

Mode Split Challenge

The City of Vancouver is exploring how big data, AI, and machine learning can help achieve their efforts to tackle climate change.

On April 29, 2019, Vancouver City Council approved the Climate Emergency Response report to increase the City’s efforts to tackle climate change. The report contains big moves to reduce Vancouver’s carbon pollution by building and expanding on the city’s existing work. As well, it contains accelerated actions that will help us ramp-up local action right away. As transportation is one of the biggest generators of green house gases in urban centres, three of the big moves are transportation-related and are to be achieved by 2030 which include:

  1. 90% of residents live within easy walking distances to their daily needs;
  2. two-thirds of all trips are made by walk, bike, and transit;
  3. 50% of vehicle kilometers traveled (VKT) is by electric vehicles (EV).

Focusing on 2 and 3 how can big data, AI, and machine learning be used to help monitor and track mode split targets and trends over time to ensure that Vancouver is on track to achieve two-thirds of all trips are by walk, bike, and transit by 2030.  In addition, how can we use data and technology to not only track VKT for EVs, but also walking kilometres traveled, bike kilometres traveled, and transit kilometres traveled?

View the City of Vancouver’s CrossOver AI presentation deck for more information.