Applying Generative Design to Complete Community Planning

Applying Generative Design to Complete Community Planning brings together growing computational practices in generative design with the urban design challenge of planning and building complete communities using urban data analysis. The concept of complete communities is in part inspired by new urbanism which focuses on human and environmental needs. Transportation modes within a community and the network of access that connect complete communities are critical for their design and success. This Mitacs grant will interact with the larger iCity 2.0 Urban Data Science for Urban Mobility Project of which Autodesk is a significant partner.
Autodesk has successfully used “generative design” to tackle design problems in the automotive, aerospace and consumer goods industries. The computational capacities of Autodesk’s generative design tools will allow data sets relevant to the complete community planning process to be analyzed and multiple scenarios created which can be tested, iterated, validated and implemented. The challenges of designing complete communities can be addressed from a variety of constraints (rules or codes, financial constraints) with amplified consultation from multiple stakeholders. Case studies will provide contemporary challenges and data as will access to a rich data set provided by the iCity 2.0 project and UTTRI at University of Toronto.

Faculty Supervisor:

Sara Diamond

Student:

Partner:

Autodesk

Discipline:

Computer science

Sector:

Transportation (excluding aerospace); Manufacturing and Construction; Information and Communications Technology

University:

Ontario College of Art & Design University

Program: