Investigating the association between street environmental factors and pedestrian volume in a southern Chinese city: a machine learning based analysis
Abstract The pedestrian volume, a critical indicator of urban vitality, has been broadly investigated in urban streets, particularly in China. However, how the street environment impacts the pedestrian volume has not received much attention in current Chinese cities. This study has adopted a machine...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Springer
2026-03-01
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| Col·lecció: | Computational Urban Science |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1007/s43762-026-00247-8 |
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