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Showing 1 to 1 of 1 for “"E-scooter demand prediction"”.
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Deep Learning for Short-Term Spatiotemporal Prediction of Shared Dockless E-Scooter Demand: Grid-Based Representation, Temporal Input Design, and Day-Type-Aware Model Benchmarking
Shared electric scooter (e-scooter) systems exhibit dynamic spatiotemporal demand patterns, making accurate short-term prediction critical for fleet rebalancing and operations. Despite growing interest in shared micromobility demand prediction, literature still lacks a coherent image-based deep …