Revealing Nonlinear and Spatial Interaction Effects of Built Environment on Ride-Hailing Demand in Nanjing, China
Numerous machine learning models are viewed as an important means for evaluating the built environment (BE) features and travel behavior. However, most of them ignore the interaction effects of the BE and geographic locations. To strengthen their spatial interpretability, the study combines the rand...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2025-08-01
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| Col·lecció: | Buildings |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/2075-5309/15/16/2967 |
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