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Tools for Sustainable Change: How Spatial Decision-Support Tools Support Transformative Urban Regeneration

Tools for Sustainable Change: How Spatial Decision-Support Tools Support Transformative Urban Regeneration

Rita De Jesus Dionisio, Mirjam Schindler, Simon Kingham
Copyright: © 2020 |Volume: 9 |Issue: 2 |Pages: 22
ISSN: 2160-9918|EISSN: 2160-9926|EISBN13: 9781799807827|DOI: 10.4018/IJEPR.2020040102
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MLA

Dionisio, Rita De Jesus, et al. "Tools for Sustainable Change: How Spatial Decision-Support Tools Support Transformative Urban Regeneration." IJEPR vol.9, no.2 2020: pp.21-42. http://doi.org/10.4018/IJEPR.2020040102

APA

Dionisio, R. D., Schindler, M., & Kingham, S. (2020). Tools for Sustainable Change: How Spatial Decision-Support Tools Support Transformative Urban Regeneration. International Journal of E-Planning Research (IJEPR), 9(2), 21-42. http://doi.org/10.4018/IJEPR.2020040102

Chicago

Dionisio, Rita De Jesus, Mirjam Schindler, and Simon Kingham. "Tools for Sustainable Change: How Spatial Decision-Support Tools Support Transformative Urban Regeneration," International Journal of E-Planning Research (IJEPR) 9, no.2: 21-42. http://doi.org/10.4018/IJEPR.2020040102

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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.