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Study on the Spatial Heterogeneity of Carbon Emissions and Low-Carbon Planning Strategies in Megacities in the Climate Transition Zone: A Case Study of Xi’an, China

気候移行帯大都市における炭素排出の空間不均一性と低炭素計画戦略に関する研究:中国西安を事例として (AI 翻訳)

Shiyi Song, Ran Guo

Sustainability📚 査読済 / ジャーナル2026-06-07#炭素会計Origin: CN対象セクター: cross_sector
DOI: 10.3390/su18125820
原典: https://doi.org/10.3390/su18125820

🤖 gxceed AI 要約

日本語

本研究は、気候移行帯に位置する西安を対象に、500mグリッドを用いた炭素排出量の推計と空間的自己相関分析、MGWRモデルによる要因解析を行った。商業用地が高排出強度を示し、「乾燥ヒートアイランド」効果との正のフィードバックが示唆された。容積率や建物密度、土地利用混合度などの都市形態要因が炭素排出に与える影響の空間的非定常性を明らかにし、旧市街・業務核・新生態区それぞれに応じた排出削減戦略を提案している。

English

This study estimates carbon emissions in Xi'an using a 500m grid and analyzes spatial heterogeneity via autocorrelation and MGWR. Commercial areas show highest emission intensity, with a positive feedback loop from the 'dry heat island' effect. Morphological factors like floor area ratio and building density exhibit spatially non-stationary impacts. It proposes tailored carbon reduction strategies for old urban areas, business cores, and new eco-districts, offering empirical evidence for low-carbon planning in transition-zone cities.

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、気候移行帯の都市における炭素排出と都市形態の関係を空間的に分析し、日本の都市計画や低炭素まちづくり(例:コンパクトシティ、緑地配置)に示唆を与える。特に、乾燥暑熱環境での青・緑空間の排出削減効果は、ヒートアイランド対策を重視する日本の自治体にとって参考となる。

In the global GX context

This paper provides empirical evidence on the spatial coupling of carbon emissions and urban form in a climate transition zone, relevant for global low-carbon urban planning. The findings on the non-linear benefits of blue-green spaces and the dry heat island effect contribute to the broader discourse on climate-adaptive urban design, applicable to cities in similar climatic contexts worldwide.

👥 読者別の含意

🔬研究者:Spatial econometric methods (MGWR) for carbon emission drivers and land use interactions are demonstrated, offering a replicable framework for urban carbon studies.

🏢実務担当者:Urban planners can use the evidence on zone-specific emission intensities and morphological impacts to prioritize low-carbon interventions (e.g., zoning regulations, green space allocation).

🏛政策担当者:Local governments in transitional climate zones can leverage the proposed strategies for old city renewal and new eco-district planning to meet carbon neutrality goals.

📄 Abstract(原文)

Cities in climatic transition zones face coupled radiative and evaporative stresses, and their carbon emission mechanisms differ significantly from those in humid regions. Taking Xi’an, a typical megacity in the transition zone, as a case study, this research utilises a 500 m × 500 m grid to integrate multi-source data for carbon emission accounting. By applying spatial autocorrelation and the Multi-scale Geographically Weighted Regression (MGWR) model, this study examines the spatial heterogeneity of carbon emissions and the mechanisms through which urban planning influences them. The results indicate that carbon emissions in Xi’an exhibit a “core–periphery” agglomeration pattern, with commercial land use exhibiting the highest emission intensity. Carbon emissions and land surface temperature are spatially coupled, consistent with a hypothesised positive feedback loop of the “dry heat island” effect. Morphological factors exhibit spatial non-stationarity: floor area ratio is positively associated with emissions in the old city centre, whereas mutual shading among super-high-rise buildings in the High-Tech Zone coincides with a weaker effect. Building density shows a positive association only where ventilation is limited. Land use mix and blue–green spaces show non-linear negative associations with emissions, with higher marginal benefits in arid–hot environments. This study proposes carbon reduction strategies for the renewal of old urban areas, business cores, and new ecological districts, providing empirical evidence and decision-making references for low-carbon spatial planning in cities within the climatic transition zone.

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