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Multi-Criteria Decision Framework for Low-Carbon Building Material Selection Using the Analytic Hierarchy Process (AHP)

階層分析法(AHP)を用いた低炭素建築材料選定のための多基準意思決定フレームワーク (AI 翻訳)

Mehdi Ramezani

Journal of Remote Sensing & GIS📚 査読済 / ジャーナル2026-07-31#エネルギー転換Origin: Global経営インパクト: コスト削減対象セクター: construction
DOI: 10.71593/jrors.2025.1248078
原典: https://doi.org/10.71593/jrors.2025.1248078

🤖 gxceed AI 要約

日本語

建築部門の炭素排出削減に向け、AHPとLCAを統合した低炭素建材選定フレームワークを提案。13の評価基準と11の材料を対象に、専門家判断とライフサイクル影響を組み合わせ、不確実性解析と感度分析を実施。テヘランの住宅事例で実証し、体積炭素とコストが主要因であることを示した。

English

This study proposes an integrated AHP-LCA framework for low-carbon building material selection, evaluating 13 criteria across 11 materials with expert judgments and cradle-to-gate impacts. Applied to a residential building in Tehran, it identifies embodied carbon and cost as key criteria, ranking CLT, low-carbon concrete, and timber as top structural materials. The framework offers a transparent, reproducible method for sustainable construction decisions.

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

日本の建設業界では、脱炭素社会の実現に向けて建材選定の重要性が高まっており、本フレームワークはSSBJや環境報告書における建材の環境情報開示にも活用可能。また、日本の住宅産業における低炭素建材の普及を後押しする実践的ツールとなる。

In the global GX context

Globally, this framework aligns with ISSB and CSRD requirements for embodied carbon disclosure in the built environment. It provides a replicable methodology for low-carbon material selection, supporting transition finance and green building certifications. The sensitivity analyses offer robustness that can inform international standards for LCA-based material assessment.

👥 読者別の含意

🔬研究者:Provides a comprehensive AHP-LCA integration with uncertainty analysis, useful for advancing multi-criteria decision-making in sustainable construction.

🏢実務担当者:Offers a practical tool for construction firms to systematically select low-carbon materials, aiding in meeting sustainability targets and disclosure requirements.

🏛政策担当者:Highlights the importance of embodied carbon in building regulations and can inform policies promoting low-carbon material adoption.

📄 Abstract(原文)

The building sector accounts for approximately 39% of global energy-related carbon emissions, making low-carbon material selection essential for sustainable residential construction. However, selecting building materials requires balancing environmental, economic, technical, and social criteria while ensuring functionally equivalent comparisons. This study presents an integrated decision-support framework combining the Analytic Hierarchy Process (AHP) and Life Cycle Assessment (LCA) to evaluate and prioritize low-carbon building materials. Thirteen evaluation criteria were applied to eleven materials grouped into structural, envelope, and insulation categories. Pairwise comparison matrices were developed using judgments from twenty-four experts, while cradle-to-gate environmental impacts were quantified using One Click LCA and SimaPro. The framework incorporates mathematically consistent normalization, explicit functional-group weighting, bootstrap uncertainty analysis, and sensitivity analyses addressing criterion weighting, transportation emissions, and biogenic carbon assumptions. A hypothetical residential building in Tehran demonstrates its practical application. Embodied carbon (25.4%) and cost (17.1%) emerged as the most influential decision criteria. Cross-laminated timber, low-carbon concrete, and timber ranked highest among structural materials, while AAC blocks, fly-ash bricks, and recycled insulation were the preferred envelope and insulation materials. The proposed framework provides a transparent and reproducible methodology for functionally consistent low-carbon material selection, supporting evidence-based decision-making in sustainable residential construction.

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