Toronto is building a multimodal transportation network that offers convenient transit and active transportation options to residents. And Big Data is helping them do it.
Like many urban planners today, Toronto’s transportation team is focused on infrastructure and policies that support multimodal transportation. Plus, they aren’t only focused on the downtown area, but also want to provide more options beyond the urban core.
Download this case study to discover:
- The types of Big Data analytics that helped Toronto’s multimodal planners
- How planners in Toronto combined Big Data analytics with other resources
- The unique benefits of Big Data for multimodal planning beyond the urban core