Machine learning and neighbourhood design

Project Details

For this project, we plan to use machine learning algorithms to gain an understanding of how neighbourhood design characteristics contribute to inequalities in physical function. This will be achieved through using the physical function and address data from a representative dataset of Brisbane residents.

The data will be combined with images from Google Maps and Google Street View to generate examples of neighbourhood design and streetscape characteristics associated with inequalities in physical function.

Researchers

Dr Jerome Rachele, Disability and Health, University of Melbourne
Dr Haifeng Zhao, Melbourne School of Design, University of Melbourne
Associate Professor Bec Bentley, Centre for Health Equity, University of Melbourne
Professor Mark Stevenson, Melbourne School of Design, University of Melbourne
Professor Gavin Turrell, Queensland University of Technology

Funding

The Economic and Social Participation Institute, University of Melbourne

Research Group


School Research Themes

Disparities, disadvantage and effective health care, Data science, health metrics and disease modeling



Key Contact

For further information about this research, please contact the research group leader.

Department / Centre

Centre for Health Equity

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