Title - Framework of cross-city e-scooter parking prediction (IMAGE)

Higher Education Press

Title - Framework of cross-city e-scooter parking prediction

Caption

Caption - The framework illustrates the complete workflow from data sources and feature engineering to cross-city transfer learning, including hexagonal grid discretization, POI embedding, DBSCAN-based label generation, multi-source group transfer experiments, and city similarity matching strategy based on socio-economic, POI distribution, and spatial structure features.

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HIGHER EDUCATION PRESS

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