Optimization and Resource Utilization of Urban Solid Waste Classification and Recycling System under the Goal of Low Carbon Environmental Governance
低炭素環境ガバナンス目標下における都市固形廃棄物の分類・リサイクルシステムの最適化と資源利用 (AI 翻訳)
Chenchen Zhang, Yizhen Du
🤖 gxceed AI 要約
日本語
本レビューは、低炭素環境ガバナンスと循環型都市発展の観点から、都市固形廃棄物の分類・リサイクルシステムの現状と課題を分析し、デジタル監視、AI選別、LCA、拡大生産者責任、経済的インセンティブなどを統合した最適化モデルを提案する。高品質な材料リサイクル、有機廃棄物回収、産業共生、検証可能な炭素削減を重視し、従来の廃棄物管理アプローチを超えた気候志向の都市廃棄物管理システムの実装に向けた理論的・実践的示唆を提供する。
English
This review analyzes urban solid waste classification and recycling systems from a low-carbon governance and circular urban development perspective, identifying challenges such as unstable classification behavior, fragmented management, and weak life-cycle carbon assessment. It proposes an integrated optimization model combining digital monitoring, AI-based sorting, LCA, extended producer responsibility, economic incentives, and green procurement. Emphasizing high-quality material recycling, organic waste recovery, industrial symbiosis, and verifiable carbon reduction, it offers theoretical and practical guidance for climate-oriented urban waste management.
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
日本では、循環型社会形成推進基本法やプラスチック資源循環促進法などが整備され、自治体による廃棄物分別の高度化が進む。本レビューの統合モデルは、日本の自治体がAI選別やLCAを活用して廃棄物処理の低炭素化を図る際の参考となり、カーボンニュートラル宣言やSSBJ開示における廃棄物由来排出量の算定にも示唆を与える。
In the global GX context
Globally, waste management is increasingly linked to climate goals, with frameworks like the Paris Agreement and circular economy policies driving attention to waste-related emissions. This review's emphasis on life-cycle carbon assessment and verifiable reductions aligns with ISSB and CSRD disclosure requirements, offering a framework for cities and companies to integrate waste management into their climate strategies. The proposed model supports the transition to low-carbon urban systems, relevant for policymakers and practitioners worldwide.
👥 読者別の含意
🔬研究者:Provides a comprehensive framework integrating waste management with low-carbon governance, useful for further empirical research on AI and LCA applications in waste systems.
🏢実務担当者:Offers practical strategies for optimizing waste classification and recycling, including AI sorting and carbon accounting, applicable to municipal and corporate sustainability teams.
🏛政策担当者:Highlights policy levers such as extended producer responsibility and economic incentives to enhance waste management's contribution to climate goals.
📄 Abstract（原文）
The classification and recycling of urban solid waste have become key channels to realizing a low-carbon environmental governance, enhance resource efficiency, and encourage a circular urban development. This review critically analyzes the existing status, optimization, governance and resource utilization strategies of urban solid waste classification and recycling systems. It emphasizes that the high performance of waste classification is based not just on the participation of residents, but also on coordination of source separation, classified collection, transportation, intelligent sorting, recycling technologies, market mechanisms and carbon accounting. Unstable classification behavior, fragmented management responsibilities, insufficient infrastructure, low-value recycling, weak life-cycle carbon assessment, and low level of demand of secondary resources are still challenges to the current systems. In order to overcome these barriers, this article offers an integrated optimization model comprising of digital monitoring, route optimization, sorting using artificial intelligence, life-cycle assessment, extended producer responsibility, economic incentives, participation of the populace, and green procurement. The review also highlights the fact that the utilization of the resources should focus on high-quality material recycling, organic waste recovery, industrial symbiosis, and verifiable reduction of carbon. In contrast to the traditional approaches to waste management, according to which the primary focus is on the disposal reduction or recycling rate, this article places the classification and recycling on the broader context of the low-carbon governance and urban material metabolism. The results offer both theoretical explanations and practical suggestions to implement effective, inclusive, and climate-oriented urban waste management systems.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.30564/jees.v8i8.13632first seen 2026-08-15 04:53:13
🔔 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。