都市低炭素開発評価の統合フレームワークの開発と適用：武漢を対象としたケーススタディ（2014–2023年）
Developing and Applying an Integrated Framework for Assessing Urban Low-Carbon Development: A Case Study of Wuhan (2014–2023) (原題)
Song Huifang, Jun Li, Shiyi Bai, Kaiming Huang, Yiyi Wu, Yuqing Nie
🤖 gxceed AI 要約
日本語
本研究は武漢市を対象に、生態系炭素貯留と炭素・経済・交通・生活・環境指標を統合し、2014〜2023年の都市低炭素開発を評価した。エントロピー重みTOPSISや結合調整度、障害度分析等を組み合わせ、総合指数が0.398から0.598へ上昇する一方、生態系炭素貯留は約74万tC減少したことを示す。結合調整度は0.544から0.782へ改善し、主要制約は「生活」から「交通」へ移行、2023年には自家用車保有が最大の短板となった。炭素貯留は強い空間正の自己相関を示し、周辺高・中心低の集積構造が概ね安定していた。
English
This study evaluates Wuhan's multidimensional urban low-carbon development (2014–2023), integrating ecosystem carbon storage with carbon, economic, transport, living, and environmental indicators using entropy-weight TOPSIS, InVEST, coupling coordination, obstacle-degree, and spatial autocorrelation analyses. The composite index rose from 0.398 to 0.598 while ecosystem carbon storage fell by ~0.74 Mt C, revealing divergent trajectories. Coupling coordination improved from 0.544 to 0.782, and the dominant constraint shifted from living to transportation, with private vehicle ownership the largest shortfall by 2023. Carbon storage showed strong positive spatial autocorrelation with stable peripheral high–central low clustering.
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
中国地方都市の低炭素評価手法は、日本の自治体脱炭素計画やSSBJ開示における地域スコープ推計の参考になりうるが、制度接続は限定的。都市レベルの炭素貯留と社会経済指標の乖離を示す点は、地域GX計画のKPI設計に示唆を与える。
In the global GX context
Adds a Chinese municipal case to the growing literature on multidimensional low-carbon assessment, useful for cities designing climate KPIs under national decarbonization pledges. Its emphasis on divergence between aggregate performance and ecological carbon stocks speaks to the broader disclosure debate on whether composite indices mask physical-emissions trends.
👥 読者別の含意
🔬研究者:都市低炭素評価における統合指標と生態系炭素貯留の乖離を扱う方法論的参照点となる。
🏢実務担当者:自治体・地域事業者が脱炭素KPIを設計する際、交通・生活部門の制約指標を組み込む示唆を得られる。
🏛政策担当者:都市計画において総合指数の改善が炭素貯留減少を覆い隠しうる点を、地域気候政策のモニタリング設計に反映すべき。
📄 Abstract（原文）
Urban low-carbon development involves multiple socioeconomic and ecological dimensions that may not improve synchronously. This study evaluates the multidimensional low-carbon development of Wuhan, China, from 2014 to 2023 by integrating ecosystem carbon storage with carbon, economic, transportation, living, and environmental indicators. Entropy weight-TOPSIS, InVEST, coupling coordination, obstacle degree, and spatial autocorrelation analyses were combined to assess temporal performance, subsystem coordination and relative constraints, and the spatial distribution of carbon storage. Within the study-period evaluation framework, the comprehensive low-carbon development index increased from 0.398 to 0.598, while ecosystem carbon storage decreased by approximately 0.74 million t C, indicating divergent trajectories between aggregate performance and ecological carbon stocks. The coupling coordination degree increased from 0.544 to 0.782, corresponding to a shift from reluctant to intermediate coordination. The dominant relative constraint shifted from Living during 2014–2018 to Transportation during 2019–2023, with civilian vehicle ownership becoming the largest transportation-related shortfall by 2023. Carbon storage exhibited strong positive spatial autocorrelation and a broadly stable clustering pattern, characterized by peripheral high–high and central low–low clusters. These findings demonstrate the value of jointly considering overall performance, subsystem constraints, and spatial ecological conditions when evaluating urban low-carbon development.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/su182110966first seen 2026-10-30 04:55:45 · last seen 2026-11-06 04:51:18
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