Data augmented planning: A data-driven approach to measuring-understanding-optimizing green justice across 263 Chinese cities

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society Pub Date : 2024-11-12 DOI:10.1016/j.scs.2024.105981

Yutian Lu , Alessandro Rigolon , Steve Carver , Jiayu Wu

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引用次数: 0

Abstract

Urban Green Spaces (UGS) are pivotal in fostering sustainable urban environments, with disparities in access to UGS raising concerns about 'green justice'. Existing research often focuses on the socioeconomic influences on green justice, overlooking the role of urban green planning and design. To address this, we evaluated green justice levels across 263 Chinese cities using extensive geospatial data and explainable machine learning techniques. Our findings highlight a significant relationship between the planar configuration of UGS and green justice. Notably, these associations are non-linear, showing threshold effects where certain UGS characteristics beyond specific values can adversely affect green justice. The study also identifies interaction effects among these spatial characteristics. Our results offer practical guidelines for urban planning to enhance green justice, especially in China's large cities. Recommendations include optimizing green space morphology and proximity, and reconfiguring the layout of various green spaces. This research provides valuable insights and strategies for promoting green justice, particularly in densely populated cities in developing nations like China.

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数据增强规划：用数据驱动的方法衡量、理解和优化中国 263 个城市的绿色正义

城市绿地（UGS）在促进城市环境的可持续发展方面发挥着关键作用，而在获取城市绿地方面存在的差异引发了人们对 "绿色正义 "的关注。现有研究通常关注社会经济因素对绿色公正的影响，而忽视了城市绿化规划和设计的作用。为此，我们利用大量地理空间数据和可解释的机器学习技术，对中国 263 个城市的绿色公正水平进行了评估。我们的研究结果表明，城市总体规划和设计的平面布局与绿色公正之间存在重要关系。值得注意的是，这些关系是非线性的，显示出阈值效应，即某些 UGS 特征超过特定值会对绿色公正产生不利影响。研究还发现了这些空间特征之间的交互效应。我们的研究结果为城市规划提供了切实可行的指导，以加强绿色公正，尤其是在中国的大城市。这些建议包括优化绿地形态和邻近性，以及重新配置各种绿地的布局。这项研究为促进绿色公正提供了宝贵的见解和策略，尤其是在中国这样人口稠密的发展中国家城市。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Sustainable Cities and Society Social Sciences-Geography, Planning and Development

CiteScore

22.00

自引率

13.70%

发文量

810

审稿时长

27 days

期刊介绍： Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including: 1. Smart cities and resilient environments; 2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management; 3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management); 4. Energy efficient, low/zero carbon, and green buildings/communities; 5. Climate change mitigation and adaptation in urban environments; 6. Green infrastructure and BMPs; 7. Environmental Footprint accounting and management; 8. Urban agriculture and forestry; 9. ICT, smart grid and intelligent infrastructure; 10. Urban design/planning, regulations, legislation, certification, economics, and policy; 11. Social aspects, impacts and resiliency of cities; 12. Behavior monitoring, analysis and change within urban communities; 13. Health monitoring and improvement; 14. Nexus issues related to sustainable cities and societies; 15. Smart city governance; 16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society; 17. Big data, machine learning, and artificial intelligence applications and case studies; 18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems. 19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management; 20. Waste reduction and recycling; 21. Wastewater collection, treatment and recycling; 22. Smart, clean and healthy transportation systems and infrastructure;