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.
Urban region embedding via multi-view contrastive prediction, in: Proceedings of the AAAI Conference on Artificial Intelligence, pp
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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.