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Describing and mapping diversity and accessibility of the urban food environment with open data and tools

Equity Focus

This study targeted the adaptation of multivariate methods from community ecology in Perth for the description of food environments.

Case Summary

This project developed a workflow in the R programming language for characterising food access using multivariate methods adapted from community ecology, not previously applied in food environment research. The workflow was tested in the city of Perth, Western Australia and applied to both standard business directory data and open, crowdsourced data. The workflow was run on all Census Mesh Blocks (MB) in the Perth urban area, using the following steps: 1) collect and process food outlet and MB data, calculating a 15-min walking network isochrone around each MB centroid; 2) cluster the MB based on food outlet availability and verify identified clusters using multivariate methods; and 3) profile clusters using measures of diversity and accessibility. The results show three zones of food access in Perth, differentiated by the type and abundance of food outlets available, with better accessibility and diversity in established suburbs.

Lessons Learned

• The workflow is a flexible and quick tool that can help professionals and practitioners to calculate a comprehensive set of indicators of food access in any location where food outlet data is available. The combination of open and standard business directory data provides a more complete picture of the food environment than one dataset alone.

LINK TO CASE STUDY