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Bike Sharing Demand Prediction based on Knowledge Sharing across Modes: A Graph-based Deep Learning Approach

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References

2018The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets291 cited
2016Rebalancing Bike Sharing Systems194 cited
2012Cityride: A Predictive Bike Sharing Journey Advisor121 cited
2014Modeling Demand for Bikesharing Systems96 cited
2019Measuring immediate impacts of a new mass transit system on an existing bike-share system in China93 cited
2022Nonlinear effects of factors on dockless bike-sharing usage considering grid-based spatiotemporal heterogeneity89 cited
2020Expanding a(n) (electric) bicycle-sharing system to a new city: Prediction of demand with spatial regression and random forests72 cited
2021Short-Term Forecast of Bicycle Usage in Bike Sharing Systems: A Spatial-Temporal Memory Network51 cited
2018A Hierarchical Demand Prediction Method with Station Clustering for Bike Sharing System45 cited
2018Short-term Prediction of Bike-sharing Usage Considering Public Transport: A LSTM Approach30 cited
2021Enhancing the Accuracy of Peak Hourly Demand in Bike-Sharing Systems using a Graph Convolutional Network with Public Transit Usage Data26 cited
2020Investigating Complementary and Competitive Relationships between Bikeshare Service and Public Transit: A Spatial-Temporal Framework23 cited

Cited by

2025Spatiotemporal Data-Driven Hourly Bike-Sharing Demand Prediction Using ApexBoost Regression

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11 cited

2025Enhancing Hybrid Bike-Sharing Systems Through Long-Term Inventory Management: A Generative-Model-Informed Reinforcement Learning Approach3 cited