Deciphering the Impact of Waterfront Spatial Environments on Physical Activity Through SHAP: A Tripartite Study of Riverfront, Lakeshore, and Seafront Spaces in Shenzhen

Urban waterfront spaces are key venues for residents’ physical activity, and their spatial environment significantly impacts usage efficiency. Existing studies predominantly employ linear models and focus on single waterfront types, making it difficult to reveal differences across various types and...

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Detaylı Bibliyografya

Asıl Yazarlar:	Lei Han, Bingjie Yu, Han Fang, Yuxiao Jiang, Yingfan Yang, Hualong Qiu
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	MDPI AG 2025-12-01
Seri Bilgileri:	Land
Konular:	physical activity built environment waterfront space machine learning SHAP Baidu Street View data
Online Erişim:	https://www.mdpi.com/2073-445X/14/12/2424
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