A 3D agent-based model for simulating urban redevelopment at the building scale

This project will explore how Toronto’s planning regulations, real estate market and urban form influence the feasibility of urban redevelopment within the city. The expected results will contribute to society and industry through the creation of 3D spatial decision support system as one of the key deliverables. This tool will help inform stakeholders of the viability of current urban regulation policies, provide insight into the most suitable locations for future urban redevelopment projects and help improve overall city management. In addition, the implementation of 3D visualisation is beneficial for urban planners to understand and interpret how vertical height limitations can impact the opportunity of redevelopment. Overall, the approach of this project will highlight how agent-based models are an invaluable tool to address the Canadian real estate crisis and can contribute to urban redevelopment initiatives to ensure a more functional city.

Faculty Supervisor:

Raja Sengupta

Student:

Partner:

Newcastle University

Discipline:

Engineering

Sector:

Artificial Intelligence

University:

McGill University

Program: