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Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
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環境効率の観点からグリーンインフラの空間計画最適化: 台北盆地に関する事例研究
Zih-Hong Lin1, Shawn W Laffan1, Graciela Metternicht2
1Earth and Sustainability Science Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW 2052, Australia.
Journal of environmental management
|August 20, 2025
まとめ
この研究は,グリーン・インフラを測定するための新しい方法を導入します.
科学分野:
- 環境科学
- 都市計画
- 生態系サービス
背景:
- 気候変動は環境リスクをもたらし 効果的なグリーンインフラが必要になります
- 緑のインフラストラクチャの計画には 環境効率と共同利益の評価が必要です
- 既存のコスト・ベネフィット・アナリストは,しばしば単一の利益に焦点を当てたり,非金銭的な価値を無視してエコシステムサービスを収益化したりします.
研究 の 目的:
- 緑のインフラストラクチャの環境効率を評価するための包括的な方法を開発する.
- 共同利益とコストを含む複数のインプットとアウトプットのインデックスを統合する.
- 緑のインフラの優先順位と強化のための再現可能なアプローチを提供する.
主な方法:
- 超効率のスラックベースの測定データエンベロメント分析 (Super-SBM-DEA) を利用した.
- 環境効率の評価のための統合された複数入力と複数出力指標
- 不効率なユニットで改善すべき領域を特定するためにスラック変数解析を使用しました.
主要な成果:
- 1415の意思決定ユニット (DMU) を評価し,398を環境効率の良いと認定した.
- 平均効率は0.71で 全体の効率は適度なものである.
- 非効率的なDMUに 必要な改善を特定した.
結論:
- 環境に効率的なDMUはグリーンインフラ投資の優先分野です.
- スーパー-SBM-DEAモデルは,利益を最大化し,コストを最小限に抑えるための包括的なアプローチを提供します.
- この研究は,グリーンインフラの効率を高めるための実用的な戦略を提供します.
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