The Missing Metric in Brazil’s Climate Strategy
ブラジルの気候戦略における欠けている指標 (AI 翻訳)
Vanessa Gomes, Marina M.T. Rodriguez, L. Pulgrossi
🤖 gxceed AI 要約
日本語
この研究は、建設セクターの排出量、特にエンボディドカーボンの評価手法を提案する。ブラジル・サンパウロを事例に、都市計画データと実際の建物データから排出量を推定するハイブリッド手法を開発。建設面積と延床面積のみを入力として、国際的なベンチマークに整合する推計を可能にし、都市の脱炭素政策への活用が期待される。
English
This study presents a hybrid methodology for estimating embodied carbon emissions in urban building stocks, applied to São Paulo, Brazil. Combining top-down volumetric archetypes with bottom-up material models, it requires only typical floor area and total built area as inputs. Outputs align with international benchmarks, supporting scalable urban decarbonization planning and regulatory integration.
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、ブラジル・サンパウロを対象としたエンボディドカーボン評価手法を提示する。日本の建設セクターにおけるカーボンフットプリント算定やSSBJ基準に基づくスコープ3の算定手法開発に応用可能な知見を含む。簡易なインプットで都市全体の排出量推計を可能にする点は、日本の自治体やゼネコンにとって参考になる。
In the global GX context
This paper offers a replicable methodology for embodied carbon assessment in urban building stocks, relevant to global disclosure frameworks like ISSB and the EU's Level(s) framework. The hybrid approach addresses a key data gap in Scope 3 emissions accounting for the construction sector, demonstrating potential for scaling globally.
👥 読者別の含意
🔬研究者:A scalable methodology for embodied carbon estimation using minimal input data, validated in São Paulo, which can be adapted to other urban contexts.
🏢実務担当者:Provides a basis for construction companies and real estate developers to assess embodied carbon in portfolios with limited data, supporting green building certifications and disclosure.
🏛政策担当者:Demonstrates how regulatory zoning data can be leveraged for embodied carbon benchmarks, informing urban climate policy and building code revisions.
📄 Abstract（原文）
The construction sector is responsible for approximately 38% of global carbon emissions, with embodied carbon—often underreported—projected to comprise up to 50% by 2050. Quantifying these emissions at scale remains challenging due to data gaps and the limited extrapolation of detailed bottom-up estimates to larger scales such as neighborhoods or cities. In this context, models based on building archetypes emerge as a promising solution. This study presents a hybrid methodology for estimating embodied emissions in urban building stocks, especially where prior data are scarce. The approach combines top-down volumetric archetypes derived from urban legislation and growth projections with bottom-up material archetypes informed by regression models of real building data, enabling standardized embodied carbon assessments. Applied to São Paulo, the hybrid model outputs aligned with international benchmarks while requiring only two inputs: typical floor area and the total built area. Scalable and policy-relevant, the method supports urban decarbonization efforts by providing a robust basis for integrating embodied carbon into planning and regulatory frameworks.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1088/1755-1315/1615/1/012021first seen 2026-06-29 07:14:52
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