Novel modelling to improve decision-making for neighbourhood design to reduce chronic disease risk [ 1/1/2021 - 3/31/2025 ]

Research Grant

Brief description Research on urban design that might support liveability and health (the 20-minute neighbourhood concept) has used analytic methods that do not account for the complexity of urban environments. This study innovatively uses a flexible and applicable approach (Bayesian Networks) to show where neighbourhood features operate uniquely or not, which features can be prioritised, which are cost effective, and how much of each feature is needed to achieve improvement in reducing risk of chronic disease.

Funding Amount $901,564

Funding Scheme Ideas Grants

Chief Investigator Prof Mark Daniel

Notes Ideas Grants