The University of Auckland
5_7_Schindler_et_al.pdf (847.38 kB)

Learnings from developing and implementing geospatial urban planning decision-support tools in Aotearoa New Zealand. GeoComputation 2019

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conference contribution
posted on 2019-12-01, 23:15 authored by Mirjam Schindler, Rita Dionisio, Ines Falcao, Simon Kingham
We present findings from developing and implementing spatial decision-support tools (SDST) to assist New Zealand urban planning stakeholders in visualising, assessing and comparing alternative urban regeneration scenarios. The SDST support the identification of urban areas suitable for specific regeneration strategies at the city-region scale and enable the assessment of alternative regeneration scenarios as to their environmental, social and economic impacts at the neighbourhood scale. We report learnings from our journey of developing the tools in close collaboration with stakeholders and implementing them in with diverse New Zealand planning authorities and discuss along key themes: i) local context matters in a system of data, tools and place, ii) potential path dependence through SDST with respect to urban outcomes, and iii) how geospatial tools can foster sustainable transformation in urban regeneration.



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