Dynamic bike sharing traffic prediction using spatiotemporal pattern detection

How do spatial and temporal attributes contribute to bikeshare traffic prediction? Our analysis of Capital Bikeshare data shows temporal attributes contribute more than spatial attributes in the short-time horizons, but the contribution is flipped for long-time horizons. Read more about our two-step pattern detection methodology and findings in our recent publication co-authored with Soheil Sohrabi.
https://www.sciencedirect.com/science/article/pii/S1361920920308324?dgcid=autho 

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