gxceed
← 論文一覧に戻る

Integrating circular strategies into post-disaster rebuilding: Pathways to resilient and resource-efficient recovery

災害復旧における循環型戦略の統合:レジリエントで資源効率的な復興への道筋 (AI 翻訳)

Z. Khashei, Sandeep Langar

E3S Web of Conferences📚 査読済 / ジャーナル2026-01-01#その他経営インパクト: コスト削減対象セクター: construction
DOI: 10.1051/e3sconf/202671610004
原典: https://doi.org/10.1051/e3sconf/202671610004

🤖 gxceed AI 要約

日本語

本論文は、災害復旧・復興における循環経済(CE)の統合可能性を系統的文献レビュー(30編)で検討。災害廃棄物管理と避難所設計の2つの領域でCE戦略が有効であることを示し、廃棄物処理・デジタル化・材料回収、避難所設計における材料循環性・柔軟性・耐久性などのクラスターを特定した。持続可能な復興のためのシステムアプローチを提案。

English

This paper systematically reviews 30 peer-reviewed articles on integrating circular economy (CE) into post-disaster rebuilding. It identifies two key domains—disaster waste management and shelter design—where CE strategies offer high leverage. Clusters include waste handling, digitalization, material recovery, and shelter design principles like circularity, flexibility, and durability. Proposes a system-based approach for sustainable and resilient recovery.

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

日本は災害大国であり、阪神・淡路大震災や東日本大震災の復興経験から、循環型復興の知見は重要。SSBJや統合報告書の文脈では、資源効率性やレジリエンスの開示が求められる可能性があり、本論文の枠組みはその基盤となる。

In the global GX context

Globally, circular economy in post-disaster contexts aligns with sustainable reconstruction goals and resource efficiency. While not directly tied to climate disclosure frameworks like TCFD or ISSB, it supports resilience and sustainability reporting under broader ESG themes. Provides operational strategies for waste management and shelter design.

👥 読者別の含意

🔬研究者:Offers a structured literature review of CE integration in disaster recovery, identifying research gaps and clusters for further study.

🏢実務担当者:Provides actionable circular strategies for waste management and shelter design during rebuilding, enhancing resource efficiency.

🏛政策担当者:Informs policies that mandate circular practices in post-disaster recovery to improve long-term resilience and sustainability.

📄 Abstract(原文)

The increasing frequency and severity of natural disasters pose significant challenges for the built environment, especially during post-disaster recovery and reconstruction. Traditional linear rebuilding practices often focus on rapid implementation and cost reduction, sometimes at the expense of sustainability, resource efficiency, and long-term resilience. In recent years, the Circular Economy (CE) has emerged as a promising and innovative approach to addressing these systemic issues. By prioritizing resource loops through reduction, reuse, recycling, and designing for adaptability, CE offers a more regenerative and resilient model for rebuilding. Despite its potential, a consistent and comprehensive Build Back Circular framework specific to post-disaster contexts is still underdeveloped. This study presents a systematic literature review of 30 peer-reviewed journal articles and conference proceedings to examine how CE principles can be operationalized in post-disaster recovery to support sustainable rebuilding practices. The review identifies two dominant domains where CE integration offers the greatest leverage: disaster waste management and post-disaster shelter design. The finding shows CE integration into waste management occurs through three identified clusters, including (i) Waste Handling & Processing; (ii) Digitalization & Traceability; (iii) Material Recovery & Circular Flows, and the design shelter-related CE strategies occur through four identified clusters, including (i) Material Circularity in Shelter Design; (ii) Design for Circularity Principles; (iii) Flexibility & Adaptability; (iv) Durability & Long-Term Performance. This study adds to the ongoing discussion on sustainable reconstruction by proposing a systems-based approach that aligns environmental, social, and economic goals in the wake of disasters, ultimately aiding long-term community resilience and sustainability.

🔗 Provenance — このレコードを発見したソース

🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。

gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。