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ENVISION allows users to query a rich and diverse set of data to identify areas of redevelopment focus and potential redevelopment precincts in the established suburbs of major Australian cities.
To apply for access to Envision, please email Stephen Glackin at: sglackin (at) swin.edu.au





From 2012 to 2016 this project translated a prototype planning support system (ENVISION) developed jointly by researchers at Swinburne and Curtin Universities for the Cooperative Research Centre for Spatial Information (CRCSI), into a standalone web tool.  This tool is now hosted and supported by the CRCSI.

ENVISION offers a set of tools allowing users to query a wide variety of data sets and indicators to identify areas that are appropriate for redevelopment and to ultimately allow them to identify redevelopment precincts.

The toolkit has four main tools. The first two allow users to run multi-criteria evaluation (MCE) assessments using property level and ABS SA1 level data. These two functions allow users to select a variety of demographic, proximity-based and market-based attributes (decision criteria), weight their significance, and from them calculate a single composite index to visualise areas suitable for redevelopment as a choropleth (thematic map).

The third tool allows users to select variables that are potential indicators of redevelopment, as well as their cut-off values. The tool facilitates users drilling down into housing data to finally produce a map that identifies potential redevelopment precincts, or clusters of dwellings with high redevelopment potential. The fourth tool provides a redevelopment viability assessment and costing function that allows users to populate a chosen area with various housing typologies, estimate the cost of developing the project and then compare the estimated sales price against existing sales in the area.

Users of the ENVISION system will include both strategic and non-strategic planners (at both state and local government levels), in combination with local community residents and the building industry.



The original investment from AURIN funded the project team to produce:

  • An online version of the ENVISION urban redevelopment decision support toolkit. This includes the following 4 functions: Property Level MCE, SA1 Level MCE, Redevelopment Precinct Identification and Development Viability and Costing.
  • Two demonstrator projects in cities of Manningham (VIC) and Canning (WA).
  • Full user manual and documentation.


The research was initially funded by AURIN and the Cooperative Research Centre for Spatial Information. Other partners included the Western Australian Department of Planning and the Victorian Department of Environment, Land, Water and Planning. Research was led by Professor Peter Newton of Swinburne University and Professor Peter Newman of Curtin University. Research and software was designed and implemented by Dr Stephen Glackin of Swinburne University and Dr Roman Trubka of Curtin University.

Prof Peter Newton

Research Professor
Institute for Social Research
Swinburne University

Prof Peter Newman

Professor of Sustainability
Office of Research & Graduate Studies
Curtin University

Dr Stephen Glackin

Research Fellow (Main Contact)
Institute for Social Research
Swinburne University

Dr Roman Trubka

Office of Research & Graduate Studies
Curtin University

Alireza Shamakhy

Systems Administrator



Newton, P, Newman, P, Glackin, S & Trubka, R 2012, ‘Greening the Greyfields: Unlocking the Redevelopment Potential of the Middle Suburbs Australian Cities’, World Academy of Science, Engineering and Technology, no. 71, pp 658-677.

Newton, P, Murray, S, Wakefield, R, Murphy, C, Khor, L, & Morgan, T 2011, ‘Towards a New Development Model for Housing Regeneration in Greyfield Residential Precincts’, AHURI Final Report No. 171, July.

Newton, P 2010, ‘Beyond Greenfields and Greyfields: the Challenge of Regenerating Australia’s Greyfield Suburbs’, Built Environment, vol. 36 , no.1, pp81-104.