iCity Urban Informatics for Sustainable Metropolitan Growth

The visualization/decision support work encompassed by this application addresses key elements of the upgrade path for that strategic part of IBM Canada’s smarter cities product and service portfolio as urban transport systems evolve, their escalating complexity requires more advanced visualization tools and practices. The specific project proposed for development within the MITACS brief is: development of a high-quality interactive 3D “”smart”” model of the Toronto Waterfront area bounded by Queen street to the north, Lake Ontario to the south, Shaw street to the west, and the Don river to the east. the smart model will include a detailed 3D model of all buildings, streets, curbs, vegetation, street furniture, with elements either linked to current open data resources or actually procedurally generated on the fly on the basis of geodata. the smart model and its ancillary information assets will be implemented separately in StoryFacets, Betaville, and CityEngine the Betaville and StoryFacets implementations of the smart model will undergo user testing and iterative development with a broad range of users, recruited specifically to provide for variety of skill levels and engagement types: expert users of related professional tools, engaged citizens and advocates, decision-makers reliant on urban data visualizations.

Faculty Supervisor:

Sara Diamond

Student:

Carl Philip Skelton

Partner:

IBM Canada

Discipline:

Computer science

Sector:

Management of companies and enterprises

University:

OCAD University