A Walkability Assessment Method for Urban Streets Based on Multi-source Urban Data and Deep Learning: A Case Study of the Central Urban Area of Beijing
ObjectiveWalking is the most fundamental mode of urban transportation, and building pedestrian-friendly streets holds great significance in urban planning. Yet many metropolises remain auto-oriented and lack high-quality pedestrian environments. Advances in multi-source urban data and deep learning...
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| Principais autores: | , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Beijing Landscape Architecture Journal Periodical Office Co., Ltd.
2026-02-01
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| Serija: | Fengjing Yuanlin |
| Teme: | |
| Online dostop: | http://www.lalavision.com/article/doi/10.3724/j.fjyl.LA20250418 |
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