A contrastive time-series model trained on hourly inbound and outbound taxi trips produces urban region embeddings with the highest reported R2 for income, education, and social vulnerability prediction in three U.S. cities.
Multiple local 3d cnns for region-based prediction in smart cities
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MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations
A contrastive time-series model trained on hourly inbound and outbound taxi trips produces urban region embeddings with the highest reported R2 for income, education, and social vulnerability prediction in three U.S. cities.