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Developing a Decision-Making Framework for Regenerative Precinct Development

Authors: Craft, W; Ding, L; Prasad, D;

Developing a Decision-Making Framework for Regenerative Precinct Development

Abstract

The consequences of the extractive and disconnected relationship with nature that has dominated past and current sustainability approaches are now being witnessed. A harmonious relationship with nature needs to be reestablished to guide how we can live, act and respond to the global climate emergency. Regenerative development has emerged as a process which enables the reconnection between human and natural systems to create the necessary conditions for a healthy and thriving future. While several frameworks and tools have been developed to support the implementation of regenerative development practices, few deal specifically with decision-making and its associated challenges and opportunities. Responding to this, the purpose of this paper is to present the development of a novel decision-making framework for regenerative precinct development. It is an evidence-based framework established from the key findings of a qualitative case study investigation into the decision-making approaches of regenerative precinct developments. It is a visual guiding framework that poses challenging questions to enable decision-makers to structure and align their thinking, decisions and actions with the fundamental principles of regenerative development. This paper discusses the framework’s development, its key features and theoretical basis, and its potential to influence decision-making practices towards regenerative development.

Country
Australia
Related Organizations
Keywords

anzsrc-for: 4609 Information Systems, anzsrc-for: 33 Built Environment and Design, anzsrc-for: 46 Information and Computing Sciences, TJ807-830, regenerative design, TD194-195, Renewable energy sources, 46 Information and Computing Sciences, GE1-350, 33 Built Environment and Design, anzsrc-for: 12 Built Environment and Design, Environmental effects of industries and plants, 4609 Information Systems, regenerative development, decision-making, Environmental sciences, net-positive, Generic health relevance, decision-making framework

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    7
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Top 10%
Green
gold