Estimating intercity human mobility flow from city attributes and intercity relations in physical space and cyberspace via graph attention network
Accurate intercity human mobility estimation is essential for urban socioeconomic development. Studies have confirmed that city attributes and intercity relations are vital for estimating intercity mobility flow. Moreover, latest graph neural network (GNN) models show great potential for improving f...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2025.2523491 |
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