Predicting regional sustainable development to enhance decision-making in brownfield redevelopment using machine learning algorithms-Reference-Cited by-同舟云学术

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Predicting regional sustainable development to enhance decision-making in brownfield redevelopment using machine learning algorithms

Published:2024-06 Issue: Volume:163 Page:112117
ISSN:1470-160X
Container-title:Ecological Indicators
language:en
Short-container-title:Ecological Indicators

Author:

Chen I-Chun^ORCID

Publisher

Elsevier BV

Reference58 articles.

1. Prioritising SDG targets: assessing baselines, gaps and interlinkages;Allen;Sustain. Sci.,2019

2. Attaining SDG11: can sustainability assessment tools be used for improved transformation of neighbourhoods in historic city centers?;Arslan;Nat. Resour. Forum,2016

3. A tutorial on support vector machines for pattern recognition;Burges;Data Min. Knowl. Discov.,1998

4. Sustainable Development Goals: A cluster analysis of worldwide countries;Çağlar;Environment, Development and Sustainability.,2022

5. A methodological approach for evaluating brownfield redevelopment projects;Cappai Glaus;Urban Sci.,2019

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