メガシティにおける改良されたNSGA-IIIを用いた低炭素の観点に基づく多目的地利用の最適化:深の事例研究
Yian Wang1, Xueqing Zhou1, Kai Cao1
1Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, Shanghai, China.
Journal of environmental management
|February 17, 2026
まとめ
この研究は,経済成長と低炭素目標のバランスをとるために,メガシティのための新しい土地利用最適化フレームワークを提示しています. 開発されたモデルは,経済的指標とアクセシビリティ指標を改善しながら,炭素排出量を効果的に削減します.
科学分野:
- 都市計画と持続可能性
- 環境マネジメント環境マネジメント
- コンピューティング・インテリジェンス コンピューティング・インテリジェンス
背景:
- メガシティの急速な都市化は,低炭素開発のための精巧な土地資源戦略を必要とします.
- 経済成長,環境保護,社会福祉のバランスをとることは,都市計画における重要な課題です.
- 現存する土地利用最適化モデルは,多目的,低炭素の考慮事項に適切に対応していない可能性があります.
研究 の 目的:
- 低炭素展望に基づく多目的土地利用最適化枠組みを提案する.
- 非支配的分類遺伝子アルゴリズムIII (NSGA-III) を強化し,性能を改善する.
- 経済的利益,土地利用の互換性,炭素排出量,移動距離,変換コストの間のトレードオフを探求する.
主な方法:
- ハイブリッド変異オペレーターとカスタマイズされた初期化で改良されたNSGA-IIIの開発.
- 深市南山区の6つの異なる開発シナリオの建設.
- 多重目的に基づく土地利用の最適化のための枠組みの適用.
主要な成果:
- 提案された枠組みは,土地利用の最適化における堅実性と実用的な効果を示した.
- 低炭素優先シナリオでは,ベースラインと比較して,炭素排出量の4.36%の削減を達成しました.
- フレームワークは,排出量削減とともに,経済性とアクセシビリティの指標を向上させることに成功しました.
- 様々なシナリオのために,パレト最適化土地利用計画ポートフォリオが作成されました.
結論:
- 開発されたフレームワークは,複雑なメガシティ環境における持続可能な都市計画のための貴重な洞察を提供します.
- 最適化アプローチは,低炭素開発のための競合する目標のバランスを効果的に取ります.
- 政策立案者は,情報に基づいた意思決定のために,生成されたパレト最適計画を利用することができます.
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