解釈可能な時空グラフコンヴォルションネットワークを通じて,環境曝露による複雑で累積的な影響の検討
Liuyi Song1, Mei-Po Kwan2, Yang Liu2
1Institute of Space and Earth Information Science, Fok Ying Tung Remote Sensing Science Building, The Chinese University of Hong Kong, Hong Kong Special Administrative Region.
Environment international
|August 26, 2025
まとめ
この研究は,短期間の騒音曝露が都市環境の認識に大きく影響することを明らかにしています. 10分間の曝露は 騒音の検出に鍵となり 15分間の曝露は 騒音の検出に鍵となり 人間と環境の複雑な相互作用を 強調しています
科学分野:
- 環境科学
- 都市計画
- 人間 の 認識
背景:
- 都市部の人口は増加しており 人間と環境の相互作用も増えています
- 伝統的な研究では 認識に対する環境の累積的な影響が 見過ごされることが多い.
- 騒音への曝露は,都市環境の認識を理解する上で重要な要素です.
研究 の 目的:
- 都市環境に対する人間の知覚をモデル化するために,ケーススタディとして騒音曝露を使用します.
- 環境認識のための解釈可能な時空グラフコンボリューションネットワーク (ST-GCN) フレームワークを開発する.
- 騒音の感知と不快感の臨界値を特定する.
主な方法:
- 解釈可能な時空グラフコンボリューションネットワーク (ST-GCN) フレームワークを使用した.
- 様々な環境要因に基づいて,ノイズの感知と迷惑をモデル化した.
- 環境曝露の時間空間動態を分析した.
主要な成果:
- ST-GCNモデルは,ノイズの知覚を予測する上で優れたパフォーマンスを示しました.
- 環境騒音を検出するための10分間の曝露値が特定されました.
- 騒音による不快感を予測するために,15分間の曝露値が特定されました.
- 空気の質と音圧レベルは,知覚に相乗効果を示した.
- 緑の空間は知覚を緩和し 建物には二重の役割がありました
結論:
- 環境騒音の知覚と刺激は複雑でダイナミックなプロセスで,複数の要因の影響を受けます.
- 都市環境管理と住民の福祉に関する 理論的な洞察を提供しています
- ST-GCNの枠組みは,環境認識をモデル化するための新しいアプローチを提供します.
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