Research on Typology Identification for Low-Carbon Development of Rural Settlements Based on the “Morphology-Size-Function” Framework: A case study of Longxi County
「形態-規模-機能」フレームワークに基づく農村集落の低炭素発展の類型識別に関する研究：隴西県を事例として (AI 翻訳)
Xi Vincent Wang, Jing Bai, Ying An
🤖 gxceed AI 要約
日本語
本研究は、中国の黄土高原の農村集落を対象に、形態・規模・機能の三次元フレームワークを用いて低炭素発展の類型を識別した。2000年から2020年のデータ分析により、集落の形態は分散から集塊へ、規模は二極化、機能は多様化し、炭素排出量が増加して「高炭素回廊」が形成されたことを明らかにした。特定の類型が低炭素性能に優れる一方、大規模集落は高排出を示した。
English
This study identifies low-carbon development typologies of rural settlements on China's Loess Plateau using a morphology-size-function framework. Analysis from 2000-2020 shows settlement restructuring from scattered to clustered patterns, polarization in size, functional diversification, and increased carbon emissions forming 'high-carbon corridors'. Certain typologies show better low-carbon performance, while large settlements emit more.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
本論文は中国の農村部の低炭素化に焦点を当てており、日本のGX文脈では直接的な関連は薄いが、地域の空間計画と炭素排出の関係を分析するフレームワークは参考になる。
In the global GX context
This paper provides a novel empirical framework linking rural settlement spatial configuration to carbon emissions, relevant for global discussions on sustainable urban-rural transitions and spatial decarbonization planning.
👥 読者別の含意
🔬研究者:Provides a multidimensional framework (morphology-size-function) for analyzing rural settlement carbon emissions, applicable to other regions.
🏛政策担当者:Highlights the importance of spatial planning in rural decarbonization and identifies settlement types with better low-carbon performance.
📄 Abstract（原文）
Exploring the spatial configuration of rural settlements for low-carbon development is of great significance for addressing global climate change and promoting sustainable urban-rural transitions. It also constitutes a critical component in achieving China’s “Dual Carbon” goals. Existing studies predominantly focus on the singular dimensions of morphology, size, or function, which limits their capacity to address the complex demands of systemic decarbonization in rural areas. Taking Longxi County, a typical loess hilly-gully region on the Loess Plateau, as a case study, this research constructs a three-dimensional analytical framework integrating “Morphology, Size, and Function”. By employing spatial analysis, K-means clustering, this paper examines the evolution of rural settlements from 2000 to 2020. The results indicated a trend of agglomerative restructuring in settlement morphology, evolving from scattered points to clustered patches. Settlement sizes were characterized by polarization towards large villages and decline of small ones, while functions transitioned from production-dominated to diversified. Both total carbon emissions and emission intensity increased significantly, forming "high-carbon corridors" along transportation arteries and "high-carbon poles" in valley areas. M₂-S₁-F₄ and M₃-S₁-F₄ types demonstrated relatively superior low-carbon performance, whereas M₂-S₁-F₂ and large-scale settlements exhibited higher emissions.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.62051/ijgem.v10n4.11first seen 2026-05-17 06:16:03 · last seen 2026-05-20 05:12:24
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