追踪生态和经济效益的空间变化,以支持城市扩张期间的基本福利维度

IF 12 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Shi Xue , Zhou Fang , Carena van Riper , Yang Bai , Wei He , Ting Wang , Qin Zhou , Changgao Cheng , Zhongde Huang
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引用次数: 0

摘要

城市的存在是为了支持其居民的多维福祉。然而,城市扩张伴随着经济效益(EBs)的快速增长和生态系统服务(ESs)的下降,这两者对于实现多维人类福祉至关重要。由于缺乏可靠的EBs空间分布方法,现有的研究大多集中在EBs和ESs的区域变化上。然而,人类活动和福祉是高度局部化的,受精细的环境特征和土地利用模式的影响。我们提出了一个框架来追踪城市发展过程中不同分析水平的生态系统和生态系统的空间变化,旨在发现双赢的机会并支持明智的空间规划。在鄂尔多斯地区,除净水区外,EBs和ESs总体呈上升趋势。然而,在地区一级,出现了明显的空间不平衡。在东部地区,城市扩张同时改善了所有生态系统,但减少了碳储存和水净化。2010 - 2020年西部地区在经济供给能力大幅下降的情况下呈现生态恢复趋势。网格级分析进一步揭示了权衡和协同作用的具体位置。权衡在鄂尔多斯广泛分布,尤其集中在东部的部分地区,而协同效应仅限于西部的小型集群地区。未来城市绿色基础设施恢复和多功能社区建设应优先考虑鄂尔多斯东部地区,西部生态脆弱区应优先考虑自然植被恢复。总体而言,我们的框架具有指导国内外可持续城市发展和改革的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tracing spatial variations in ecological and economic benefits to support basic dimensions of wellbeing during urban expansion
Cities exist to support the multidimensional wellbeing of their residents. However, urban expansion has been accompanied by a rapid increase in economic benefits (EBs) and a decline in ecosystem services (ESs), both of which are essential for achieving multidimensional human wellbeing. Most existing studies have focused on regional-level changes in EBs and ESs due to the lack of reliable methods for spatially mapping the distribution of EBs. However, human activities and wellbeing are highly localized, shaped by fine-level environmental features and land use patterns. We propose a framework to trace spatial variations in EBs and ESs across analytical levels during urban development, aiming to identify win-win opportunities and support informed spatial planning. In Ordos, China, we found that EBs and ESs generally increased at the regional level, except for water purification. However, at the district level, a pronounced spatial imbalance emerged. In the eastern districts, urban expansion coincided with improvements in all EBs but reduced carbon storage and water purification. In contrast, the western districts showed ecological recovery despite substantial declines in economic supply capacity from 2010 to 2020. Grid-level analysis further revealed specific locations of trade-offs and synergies. Trade-offs were widely distributed across Ordos, particularly concentrated in parts of the east, while synergies were limited to small, clustered areas in the west. We suggest that future urban green infrastructure restoration and multi-functional community construction be prioritized in Ordos’ eastern districts, whereas natural vegetation replantation should take place in western ecologically fragile districts. Overall, our framework has the potential to guide sustainable urban development and reform within China and beyond.
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来源期刊
Sustainable Cities and Society
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;
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