Designing with Fabric Intelligence: An Interdisciplinary Architecture–Textile Framework for Low-Carbon and Inclusive Housing Delivery in Nigeria
Tajudeen Ajayi, Tope S. AYODELE, Tolulope Omotoso
🤖 gxceed AI 要約
日本語
本研究は、ナイジェリアの低炭素で包摂的な住宅供給のために、テキスタイルシステムから得られる「ファブリックインテリジェンス」を活用する学際的アーキテクチャー・テキスタイルフレームワークを提案する。PRISMA準拠の系統的レビューと定量分析により、テキスタイル活用戦略が18～50%の炭素削減と平均3.1°Cの温熱快適性改善をもたらすことを示した。導入障壁として規制や技術ギャップを指摘し、現地のテキスタイルシステムを統合した持続可能な住宅モデルを提示する。
English
This study proposes an interdisciplinary architecture-textile framework using 'fabric intelligence' for low-carbon, inclusive housing in Nigeria. A PRISMA systematic review and quantitative analysis of 58 studies shows textile-informed strategies reduce embodied carbon by 18-50% (mean ~34%) and improve thermal comfort by 3.1°C. It identifies regulatory and technological barriers and advocates integrating indigenous textile systems for culturally relevant, scalable housing.
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
本論文はナイジェリアを対象としているが、新興国での低炭素建築手法としてファブリックインテリジェンスを導入する点は、日本の建築分野での素材イノベーションやサプライチェーン全体の脱炭素化にも示唆を与える。特に、木造や断熱材など既存の低炭素技術と組み合わせた応用が考えられる。
In the global GX context
While focused on Nigeria, this paper offers a novel 'fabric intelligence' approach to low-carbon housing that could inform global construction sector decarbonisation, particularly in developing economies. Its emphasis on embodied carbon reduction and modularity aligns with net-zero building targets. The framework's integration of local value chains provides a model for inclusive, context-sensitive green building policies.
👥 読者別の含意
🔬研究者:The interdisciplinary methodology and quantitative carbon reduction data provide a basis for further studies on textile-based building materials in different climates.
🏢実務担当者:Architects and construction firms can adopt the fabric intelligence framework to reduce embodied carbon and improve thermal comfort in affordable housing projects.
🏛政策担当者:Regulators should consider updating building codes to incorporate textile-informed construction methods, addressing the identified barriers to adoption.
📄 Abstract（原文）
Rapid urbanisation, escalating construction costs, and environmental pressures continue to constrain the delivery of affordable housing in Nigeria, necessitating innovative, low-carbon, and context-responsive solutions. This study investigates how “fabric intelligence,” derived from textile systems, can inform sustainable housing by integrating architectural design and textile entrepreneurship. A PRISMA-informed systematic review of Scopus and Web of Science databases identified 528 records (2016–2026), of which 58 peer-reviewed studies met the inclusion criteria. The methodology combines qualitative thematic synthesis with quantitative, correlation, and regression analyses to evaluate relationships among material innovation, textile-informed design, and system integration. Findings indicate that textile-informed strategies achieve embodied-carbon reductions of 18–50% (mean ≈34%) and thermal-comfort improvements averaging 3.1°C, while enhancing modularity, adaptability, and construction efficiency. The integration of indigenous textile systems further strengthens cultural relevance and supports inclusive economic participation through localised value chains. However, adoption remains constrained by regulatory limitations, technological gaps, and weak institutional coordination. The study advances an interdisciplinary Architecture–Textile Framework that positions fabric intelligence as an integrative mechanism linking environmental performance, adaptive design, and socio-economic systems. It concludes that textile-informed housing provides a scalable pathway for low-carbon, culturally responsive, and economically inclusive housing delivery in Nigeria and comparable developing contexts.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.64388/irev9i11-1717308first seen 2026-05-17 06:01:04 · last seen 2026-05-20 05:10:17
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