Affiliation:
1. University of Canterbury, New Zealand
2. Victoria University of Wellington, New Zealand
Abstract
This research focuses on the ability of spatial decision-support tools (SDST) to transform urban regeneration processes through collaborative planning between authorities and communities. This article presents what was learned from the implementation of two SDST within planning authorities in Aotearoa, New Zealand. The first tool, Envision, enables the identification of suitable areas for urban regeneration; the second, ESP, focuses on the environmental and socio-economic assessment of regeneration scenarios at the neighbourhood scale. We use empirical observations from the implementation of these SDST in diverse planning authorities, to analyse the influence of local specificities and appropriate collaboration models for the development and adoption of the tools for decision-making and community engagement. We provide recommendations for future development and implementation of SDST to reinforce collaborative planning and local governance within urban regeneration processes.
Subject
Computer Science Applications,Urban Studies,Geography, Planning and Development
Cited by
4 articles.
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