Regional tourism demand forecasting with spatiotemporal interactions: a multivariate decomposition deep learning model
With the advancement of economic globalization and regional integration, regional tourism flows are more closely linked, which provides new clues for improving forecasting. This study develops a multivariate decomposition deep learning model to forecast tourism demand by capturing spatiotemporal int...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/173592 |