The Association of Urban Greenness and Walking Behavior: Using Google Street View and Deep Learning Techniques to Estimate Residents’ Exposure to Urban Greenness
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- Wenbo Li & Jiaqi Wu & Wenting Xu & Ye Zhong & Zhihao Wang, 2022. "How Thermal Perceptual Schema Mediates Landscape Quality Evaluation and Activity Willingness," IJERPH, MDPI, vol. 19(20), pages 1-27, October.
- Jiacheng Shi & Yu Yan & Mingxuan Li & Long Zhou, 2024. "Measuring the Convergence and Divergence in Urban Street Perception among Residents and Tourists through Deep Learning: A Case Study of Macau," Land, MDPI, vol. 13(3), pages 1-29, March.
- Yi Lu & Long Chen & Yiyang Yang & Zhonghua Gou, 2018. "The Association of Built Environment and Physical Activity in Older Adults: Using a Citywide Public Housing Scheme to Reduce Residential Self-Selection Bias," IJERPH, MDPI, vol. 15(9), pages 1-13, September.
- Wu, Fangning & Li, Wenjing & Qiu, Waishan, 2023. "Examining non-linear relationship between streetscape features and propensity of walking to school in Hong Kong using machine learning techniques," Journal of Transport Geography, Elsevier, vol. 113(C).
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Keywords
urban greenness; eye-level greenness; street greenness; physical activity; walking;All these keywords.
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