Research project: 
Data-Driven Urban Evaluation of Australian cities through the lens of Micromobility

Project description: 
My research explores how generative artificial intelligence (GenAI) and crowd-sourced feedback can improve urban design in preparation for the 2032 Brisbane Olympics, focusing on micromobility and the transport network connecting event venues. By analysing AI-augmented Street View Images (SVI), the study highlights the importance of street design and human connection in enhancing the usability and appeal of urban spaces.

Researcher biography: 
Masters of Architecture - Graduated in 2021 from the University of Queensland
Bachelor of Architectural Design - Graduated in 2018 from the University of Queensland

Research interests: 
Computational Design, Artificial Intelligence, Urban Design

Principal Supervisor:
Dr Dan Luo

Publications: 
Toohey, G., Nguyen, T., Vilppola, R., Qiu, W., Li, W., & Luo, D. (2022). Data-Driven Evaluation of Streets to Plan for Bicycle Friendly Environments: A Case Study of Brisbane Suburbs. https://doi.org/10.52842/conf.caadria.2022.1.243

Contact Email: 
tommy.nguyen@uq.edu.au