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Published on: February 8, 2019
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Developing a research and practice tool to measure walkability: a demonstration project
Billie Giles-Corti1, Gus Macaulay1, Nick Middleton2
1McCaughey VicHealth Centre for Community Wellbeing, School of Population and Global Health, The University of Melbourne, Level 5, 207 Bouverie Street, Carlton, Vic. 3010, Australia.
Summary
A new Walkability Index Tool can now measure neighbourhood walkability in Australia. This tool helps assess urban planning and design, promoting active transport and healthier communities.
Area of Science:
- Urban Planning and Design
- Geospatial Analysis
- Public Health
Background:
- Walkable neighbourhoods promote active transport, yet a gap exists between policy and practice.
- Objective data is needed to benchmark and monitor walkability in Australian cities.
- Assessing built environment and urban policy interventions is crucial for increasing walkability.
Purpose of the Study:
- To develop and validate an automated geospatial tool for assessing neighbourhood walkability.
- To create a 'Walkability Index Tool' for policymakers, practitioners, and researchers.
- To enable user-specified scale assessments of local area walkability.
Main Methods:
- The tool utilizes open-source software within the Australian Urban Research Infrastructure Network (AURIN) framework.
- It incorporates key spatial measures: street connectivity, density, and land use mix.
- State-based data was used for demonstration and validation.
Main Results:
- An automated walkability index was successfully created using state-based data.
- A national walkability measure is not yet feasible due to inconsistent national land use mix data.
- Future work includes enhancing tool usability and exploring alternative data sources for a national index.
Conclusions:
- The AURIN Walkability Index Tool is a significant step towards measuring walkability across Australia.
- It highlights the value of accessible, accurate spatial data for research and policy.
- The tool can benchmark cities, assess planning decisions, and save resources when fully implemented.

