gxceed
← 論文一覧に戻る

The urban share and regional urban dynamics of global greenhouse gas emissions

世界の温室効果ガス排出量における都市シェアと地域の都市動態 (AI 翻訳)

Kevin Gurney, Bilal Aslam, Pawlok Dass, Shanthi Podhili, Anna Kato

プレプリント2026-06-02#炭素会計Origin: US
DOI: 10.21203/rs.3.rs-9868204/v1
原典: https://doi.org/10.21203/rs.3.rs-9868204/v1

🤖 gxceed AI 要約

日本語

新たな機械学習ベースの全球化石燃料CO2排出データセットを用いて、都市域の排出割合を推定。2022年の全球都市域排出割合は63.6-69.9％（領土ベース）、消費ベースでは65.3-79.3％と算出。先進国などでは都市の一人当たり排出が農村より低い。13年間で都市シェアは1.4％増加。

English

Using a new machine-learning global FFCO2 dataset (Vulcan-UrbanML), this study estimates urban share of global territorial FFCO2 emissions at 63.6-69.9% for 2022, and consumption-based urban share at 65.3-79.3%. Per capita urban emissions are lower in developed regions. Urban share increased 1.4% over 13 years.

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

日本の都市は高密度で、排出原単位が低い可能性がある。本手法は日本全国の都市排出推計にも応用可能。SSBJや自治体の排出量算定に示唆を与える。

In the global GX context

This paper provides a robust quantification of urban GHG share, crucial for TCFD/ISSB disclosure on transition risk and for CDP cities reporting. It highlights the importance of urban mitigation and consumption-based accounting.

👥 読者別の含意

🔬研究者:Researchers gain a new global urban emission dataset and boundary analysis methods.

🏢実務担当者:Corporate sustainability teams can use urban share data for Scope 3 city-based allocations.

🏛政策担当者:Policymakers can prioritize urban mitigation based on quantified shares and consumption-based emissions.

📄 Abstract（原文）

Abstract The share of global GHG emissions in urban areas, home to the majority of global population, is a central metric in establishing the importance and prioritization of cities for global GHG emissions mitigation efforts. However, the urban share of global GHG emissions remains poorly quantified due to a paucity of accurate and comprehensive urban GHG emissions data and lack of clarity on both geographical and system boundaries. Here, we use a new machine learning-based global fossil fuel CO2 (FFCO2) emissions dataset (Vulcan-UrbanML) to estimate the global urban share of territorial FFCO2 emissions. We quantify the urban share for multiple geographic boundaries, system boundaries, and IPCC regional domains over the 2010 to 2022 time period. We find a 2022 global territorial FFCO2 emissions urban share range of 63.6-69.9%, depending upon the urban boundary considered. The consumption-based global urban share is estimated as 65.3%-79.3%. Per capita urban emissions are significantly lower than their rural counterparts in the Developed Countries, the Middle East, and Eastern Europe and West-Central Asia regions. The global territorial FFCO2 emissions urban share increased 1.4% over the 13 year time period examined here.

🔗 Provenance — このレコードを発見したソース

🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。

gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。