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Understanding Origin-Destination (O-D) travel demand is crucial for transportation management.
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Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network
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Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining . 4639–4647
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Sensing dynamic human activity zones using geo-tagged big data in Greater London, UK during the COVID-19 pandemic
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