详细信息

Navigating Sustainable Energy Transitions and Environmental Constraints in PV Siting  ( SCI-EXPANDED收录)  

文献类型:期刊文献

英文题名:Navigating Sustainable Energy Transitions and Environmental Constraints in PV Siting

作者:Jiang, Feihu[1];Zhu, Zhanzhong[2];Li, Shengyu[3];Zhang, Jie[2]

机构:[1]East China Univ Sci & Technol, Sch Social & Publ Adm, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, Sch Art Design & Media, Shanghai 200237, Peoples R China;[3]Chongqing Univ Sci & Technol, Sch Civil & Hydraul Engn, Chongqing 401331, Peoples R China

年份:2026

卷号:18

期号:8

外文期刊名:SUSTAINABILITY

收录:;WOS:【SSCI(收录号:WOS:001750503100001),SCI-EXPANDED(收录号:WOS:001750503100001)】;

基金:This work was supported by the Major Program of the National Social Science Foundation of China [Grant Number 21 & ZD215]; the National Art Foundation of the National Social Science Fund [Grant Number 20BH154]; and the Special Project of Shanghai Philosophy and Social Science Planning [Grant Number 2024VSJ030].

语种:英文

外文关键词:sustainable energy transition; land-use sustainability; cooperative game theory; environmental carrying capacity; GIS-MCDM; spatial planning

摘要:The rapid expansion of photovoltaic (PV) power has escalated land-use conflicts, making spatial planning a complex socio-economic challenge. Existing Multi-Criteria Decision-Making (MCDM) methods often fail to reconcile top-down macro-climate goals with bottom-up local environmental and infrastructural constraints. To address this dilemma, this study proposes a novel spatial decision support framework integrating a mathematical compromise weighting method-optimizing AHP subjective policy preferences and CRITIC objective physical constraints with GIS-TOPSIS. Applied to China's seven major geographic regions, the model accurately identifies four socio-economic evolutionary paradigms dictating PV spatial patterns. The results demonstrate that our framework effectively mitigates ecological and agricultural land squeezes, offering a robust tool for policymakers to harmonize renewable energy deployment with sustainable environmental management.

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