都市の構造的・インフラ的不平等が食料・住居・交通の細粒度炭素フットプリントを形成する：メキシコシティ都市圏からの証拠
Urban Structural and Infrastructural Inequalities Shape Fine‑Scale Carbon Footprints of Diet, Housing, and Transportation: Evidence from the Metropolitan Area of Mexico City (原題)
Rogelio Omar Corona-Núñez, Rosa Isela Jasso-Flores, Francisco E. Ramas Arauz, Adriana Helia Larralde Corona, Salomón González Arellano, Irmene Ortíz
🤖 gxceed AI 要約
日本語
メキシコシティ都市圏で992世帯調査と100m解像度の機械学習モデルを用い、食料・住居・交通の一人当たり炭素フットプリントを空間的に推計した。平均10.1tCO2eqに達し、周辺自治体では15t超。食料が6割超を占め、排出は個人の選択ではなく住居形態やインフラ格差といった構造的要因に駆動されることを示す。空間的に標的化した都市ガバナンスの必要性を訴える。
English
Using 992 household surveys and 100-m machine learning models, this study estimates spatially disaggregated per capita carbon footprints for diet, housing, and transportation in the Mexico City Metropolitan Area. Mean footprints reach 10.1 tCO2eq, exceeding 15.0 tCO2eq in peripheral municipalities, with diet dominating (>60%). Emissions are driven by structural urban inequalities—housing morphology and infrastructure access—rather than individual choices, calling for spatially targeted urban climate governance.
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
日本でも都市部の脱炭素と地域格差は重要課題であり、コンパクトシティ政策や地域脱炭素ロードマップの設計に示唆を与える。特に周辺部のインフラ整備と住宅性能向上の優先順位付けに参考となる。
In the global GX context
This study adds Global South empirical evidence to urban climate disclosure and just-transition debates, complementing TCFD/ISSB frameworks that often overlook intra-urban inequality. It highlights the need for spatially differentiated mitigation strategies in cities, relevant to global climate justice and urban policy.
👥 読者別の含意
🔬研究者:都市炭素フットプリントの空間的不均一性と構造的要因を定量化する手法を提供する。
🏢実務担当者:都市部の不動産・交通・食品関連企業が地域特性に応じた排出削減戦略を立案する際の参考になる。
🏛政策担当者:都市計画や気候政策において、空間的に標的化した介入とインフラ投資の優先順位付けの必要性を示す。
📄 Abstract（原文）
By 2050, over 70% of the global population will live in urban areas, mostly in the Global South. Cities account for 70–80% of global CO 2 emissions, largely from food systems, housing, and transportation. Using 992 household surveys and high‑resolution (100-m) machine learning models, we estimated spatially disaggregated per capita carbon footprints for diet, housing, and transportation across the Metropolitan Area of Mexico City (MAMC). This fine-spatial resolution uncovers emission hotspots obscured by citywide aggregates. By focusing on consumer-based spatial drivers, this study provides actionable insights for equity‑oriented climate governance. Our findings show that footprints comparable to Global North cities are driven by structural urban disparities, such as housing morphology and infrastructure access, rather than individual choices. Modelled mean annual footprints reached 10.1±1.2 tCO 2 eq with peripheral municipalities exceeding 15.0 tCO 2 eq. Dietary emissions dominated (>60%), housing contributed 10–20% but reached >40% in northern clusters, and transportation footprints were highest in sprawling, poorly connected peripheries. Emissions scaled with affluence and built-up area, whereas structural deprivation and limited access characterized low-emission peripheral zones trapped in a double burden. These findings reveal structural inequalities embedded in food, housing and mobility, deepening climate injustices and intersectional vulnerabilities across marginalized communities. Climate mitigation in Latin American must move beyond uniform mandates toward spatially targeted urban governance capable of resolving deep-seated intra-urban carbon disparities though integrated, spatially adaptive mitigation strategies. Land‑use densification, electrified transit expansion, and improved housing standards in peripheral zones offer pathways to reduce emissions while advancing urban climate justice and reducing inequality.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.scs.2026.107933first seen 2026-09-23 05:07:05
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