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多源数据与可解释人工智能驱动下济南市域空间建成环境非线性效应与城市活力研究
Mingyang Yu1, Qingrui Ji2, Xiangyu Zheng2
1School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan, 250101, China. ymy@sdjzu.edu.cn.
Scientific reports
|January 9, 2026
まとめ
本研究利用人工智能揭示了建成环境对城市活力的影响。POI密度等客观因素是关键,并确定了城市规划的最佳阈值。
背景:
- 理解城市形态与活力的复杂相互作用对于有效的城市规划至关重要。
- 现有框架常常难以捕捉非线性动态和对建成环境的主观感知。
結論:
- 所提出的框架提升了综合城市活力的测量水平。
- 本研究通过纳入主观感知,扩展了传统的建成环境指标。
- 为城市规划提供了一种新颖的分析方法,尤其适用于历史复杂的城市。
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