From Individual Choices to Collective Impact: Quantifying the Role of Behavioural Changes in Greenhouse Gas Mitigation
個人の選択から集合的影響へ：温室効果ガス削減における行動変化の役割の定量化 (AI 翻訳)
Maryam Naghdizadegan Jahromi, Sébastien Bruno, Marius Le Maréchal, Stéphane Roche
🤖 gxceed AI 要約
日本語
本研究は、ケベック市の世帯調査データを用いて食行動に由来する温室効果ガス（GHG）排出を定量化・空間化した。地区レベルの食餌シナリオ分析により、食肉消費の多い地区ほど削減ポテンシャルが高いなど、都市内の排出格差が明らかになった。この枠組みは、市区町村が優先地区を特定し、行動変容を促す対策を設計するのに有用である。
English
This study uses survey data from Québec City households to quantify and spatialize diet-related greenhouse gas (GHG) emissions. By modeling dietary scenarios at the district level, it reveals substantial intra-urban disparities, with districts showing higher meat consumption having greater mitigation potential. The framework helps municipalities identify priority areas and design targeted behavioral interventions.
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
日本の自治体でも、食行動に伴うGHG排出の空間分析は有用である。特に、各市区町村が排出削減の優先地区を特定する手法として参考になる。本手法は、日本の「ゼロカーボンシティ」宣言を支援する政策ツールとして応用可能であろう。
In the global GX context
This study offers a replicable framework for cities worldwide to integrate household behavior into climate mitigation planning, complementing top-down national targets. It expands the scope of urban GHG accounting beyond infrastructure emissions to include lifestyle-driven carbon footprints, aligning with the growing interest in consumption-based emissions inventories.
👥 読者別の含意
🔬研究者:Provides a methodology for spatializing behavioral emissions data at urban scale, novel in combining survey and geospatial analysis.
🏢実務担当者:Municipal planners can use this to identify high-potential districts and design targeted behavior-change interventions.
🏛政策担当者:Supports local government in integrating consumption-based emissions into climate action plans and prioritizing districts.
📄 Abstract（原文）
Abstract. Household emissions, particularly from food consumption, represent a substantial yet underutilized component of urban greenhouse gas (GHG) emissions. While most research focuses on national or industrial scales, household behaviours remain underrepresented in local mitigation strategies. Addressing this gap requires approaches that account for both household choices and spatial context. This study applies a behavioural–geospatial framework to survey data from Québec City households to quantify and spatialize diet-related GHG emissions. Meat consumption frequencies were converted into emissions using food-specific factors, and four realistic dietary scenarios were modelled at the district level. The results reveal substantial intra-urban disparities. Districts with higher reported meat consumption exhibit significantly greater mitigation potential, independent of population size. When combined with sociodemographic indicators such as income, the analysis highlights spatial structuring of behaviours commonly perceived as private choices. By transforming survey-based behavioural data into spatially explicit GHG information, this study expands geospatial analytics beyond infrastructure-based emissions and into the domain of lifestyle-driven carbon footprints. The proposed framework enables municipalities to identify high-potential districts, design targeted interventions, and integrate eco-conscious consumption into climate resilience and socio-ecological transition strategies.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.5194/agile-giss-7-38-2026first seen 2026-06-11 05:19:31
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