CASE STUDY

Multimodal Planning in the City of Toronto

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.

Transit-Planning-in-Toronto-pdf-791x1024

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

Download the Case Study

*indicates a required field

test
new york city Department of transportation
arup
Toronto
arcadis
Fehr Peers
VHB
sandag
NVTA
SSTI
VDOT
Stantec

3000+ smart projects every month enabled by StreetLight