评估空间冲突风险的综合框架:基于社会生态系统框架的生产-生活-生态空间案例研究

IF 6.5 1区 经济学 Q1 DEVELOPMENT STUDIES
An Huang , Yan Wang , Ying Xiang , Yueqing Xu , Li Tian , Guiyao Zhou , Yuan Zhuang , Ling Zhu
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引用次数: 0

摘要

在全球快速城市化的背景下,城乡空间的扩张引发了生产-生活-生态空间之间的冲突,导致全球生态福祉逐步下降。协调空间冲突,最大限度地减少生态福祉的减少,是当前国家空间规划亟待解决的重要科学问题。事实上,现有研究主要集中在历史空间冲突的机理、概念含义、演化过程和优化模拟等方面,并取得了重要成果。然而,空间冲突是不可逆转的。与研究历史空间冲突相比,评估空间冲突风险(指未来可能发生的空间冲突)可以为优化国土空间规划提供更直接、更有力的支持。遗憾的是,迄今为止,关于空间冲突风险评估的理论和方法的研究还很缺乏。为了填补这一空白,我们以生产-生活-生态(PLE)空间为例,将社会-生态系统框架(复杂系统解构的进步)与土地利用功能理论(空间量化的进步)相结合,系统地构建了PLE空间冲突风险评估的综合框架和方法。新框架从空间格局和治理两个维度分析了冲突风险的形成机理。此外,基于该框架、耦合协调度模型和多元数据,建立了栅格尺度上的PLE空间冲突风险定量化和精细化评估方法。通过对中国河北省张北县--一个典型的生态脆弱山区县--的案例研究,验证了该框架和方法的可行性。此外,我们还根据 PLE 空间冲突风险评估结果,建立了不同治理情景下 PLE 空间优化的自适应选择策略。本研究的结果为解决空间冲突问题提供了新的理论和方法论见解,而我们正面临着更加复杂的区域和城市系统以及碎片化治理。该案例研究将为河北省北部山区县及类似的生态脆弱山区县规划和控制PLE空间的协调和可持续发展提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A comprehensive framework for assessing spatial conflicts risk: A case study of production-living-ecological spaces based on social-ecological system framework
Against the backdrop of rapid global urbanization, the expansion of urban-rural spaces has led to conflicts among production-living-ecological spaces, resulting in a progressive decline in global ecological well-being. Coordinating spatial conflicts to minimize the reduction in ecological well-being is a critical scientific issue urgently needing resolution in current national spatial planning. In fact, the existing studies concentrates on the mechanisms, conceptual implications, evolutionary processes, and optimization simulations of historical spatial conflicts, yielding significant achievements. However, spatial conflicts are irreversible. Compared to studying historical spatial conflicts, assessing spatial conflicts risk which refer to potential occurrence of future spatial conflicts can provide more direct and robust support for optimizing territorial spatial planning. Unfortunately, there is a lack of research on the theory and methods of spatial conflicts risk assessment to date. To fill this gap, take the Production-Living-Ecological (PLE) spaces as a case study, social-ecological system framework (advance in deconstructing complex systems) and the land use function theory (advance in spatial quantification) have been combined to systematically construct a comprehensive framework and method for assessing PLE spatial conflicts risk. This newly framework analyzes the formation mechanism of conflicts risk from the dimensions of spatial pattern and governance. Furthermore, a quantitative and refined assessment method for PLE space conflicts risk at the raster scale is developed based on this framework, coupling coordination degree model, and multivariate data. The feasibility of this framework and method is validated through a case study of Zhangbei County, Hebei Province in China, a typical county in an ecologically fragile mountainous area. Moreover, we establish adaptive selection strategy to PLE space optimization under different governance scenarios based on the assessment result of PLE space conflicts risk. Findings of this research contribute new theoretical and methodological insights into addressing spatial conflicts issues while we are facing a more complex regional and urban system and fragmented governance. The case study will serve as a reference for counties in the northern mountainous area of Hebei Province and similar ecologically fragile mountain counties in planning and controlling coordinated and sustainable development of PLE space.
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来源期刊
CiteScore
10.50
自引率
10.30%
发文量
151
审稿时长
38 days
期刊介绍: Habitat International is dedicated to the study of urban and rural human settlements: their planning, design, production and management. Its main focus is on urbanisation in its broadest sense in the developing world. However, increasingly the interrelationships and linkages between cities and towns in the developing and developed worlds are becoming apparent and solutions to the problems that result are urgently required. The economic, social, technological and political systems of the world are intertwined and changes in one region almost always affect other regions.
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