Modeling the spatial relationship between bike-sharing stations and urban centrality using geographical weight variables
This study explores a new approach for including spatial characteristics in machine learning models based on a kernel function in a station-based bike-sharing (SBBS) dataset. On the basis of existing research on geographically weighted statistical methods, we propose a method for transforming spatia...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843225003978 |
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