Carbon Emissions From Different Functional Zones of Construction Land in the Yellow River Basin Based on Nighttime Light Data and <scp>POI</scp> Data
黄河流域における建設用地の異なる機能ゾーンからの炭素排出：夜間光データとPOIデータに基づく分析 (AI 翻訳)
Xi Chen, Wei Wei, Lei He, Xiaoxu Wei, Binbin Xie, Junju Zhou, Wei Shi, Yanli Pei
🤖 gxceed AI 要約
日本語
本研究は、黄河流域を対象に夜間光データ、エネルギー統計、POIデータを組み合わせ、建設用地の機能ゾーン別の炭素排出量を時空間分析し、将来予測を行った。2012〜2023年に排出量は増加傾向にあり、工業・商業用地が主要な排出源であることが明らかになった。将来は商業用地が主な排出源となり、工業・交通用地の寄与は減少する見込みである。これらの知見は、地域別の排出削減政策や空間計画に科学的根拠を提供する。
English
This study analyzes carbon emissions from different functional zones of construction land in the Yellow River Basin using nighttime light, energy statistics, and POI data. From 2012 to 2023, emissions increased steadily, with industrial and commercial land being the largest contributors. Projections indicate that commercial land will become the dominant emission source, while industrial and transportation land contributions decline. The findings support differentiated emission reduction policies and spatial planning.
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
本研究の方法論は、日本の都市計画や土地利用における炭素排出量の評価にも応用可能。特に、SSBJや地域脱炭素計画における詳細な排出源特定に貢献しうる。
In the global GX context
This paper provides a spatially explicit carbon accounting method that can be applied globally to differentiate emissions by land use function, supporting targeted climate action and urban planning.
👥 読者別の含意
🔬研究者:Researchers working on carbon accounting and land-use emissions will find the spatial methodology valuable for cross-regional comparisons.
🏢実務担当者:Urban planners and sustainability officers can use this approach to identify high-emission zones and prioritize interventions.
🏛政策担当者:Policymakers can leverage the projections to design differentiated emission reduction strategies for industrial, commercial, and transportation zones.
📄 Abstract（原文）
ABSTRACT The Yellow River Basin is a critical region for ecological conservation and sustainable development in China. It also serves as a core area for carbon emissions across various functional zones of construction land. Accurately understanding carbon emissions from various types of construction land in the Yellow River Basin is crucial for China to achieve its dual carbon goals. However, existing studies have primarily focused on carbon emissions accounting at the administrative district level, neglecting the functional differences within built‐up areas. Moreover, these studies lack detailed projections of future carbon emission trends across different functional zones, hindering efforts to address region‐specific emissions reduction and spatial governance effectively. This study focuses on the Yellow River Basin and combines nighttime light data, energy statistics, and POI data to conduct a spatiotemporal analysis and future projection of carbon emissions from land‐use functional zones. The results indicate: (1) Carbon emissions from construction land functional zones in the Yellow River Basin showed a continuous upward trend from 2012 to 2023, with industrial and commercial land contributing the largest shares of emissions. (2) The spatial distribution of carbon emissions evolved into a multi‐core pattern, with the middle reaches consistently serving as the dominant emission center. (3) Future carbon emission structures are expected to undergo significant changes, with commercial land becoming the primary emission source, while industrial and transportation land show declining contributions. These findings offer new insights into the dynamic evolution of carbon emissions across functional zones of construction land and provide scientific support for differentiated emission reduction policies and spatial planning in the Yellow River Basin.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1002/ldr.70779first seen 2026-07-17 05:14:49
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