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Bike sharing usage prediction with deep learning: a survey

9 references·16 citing·47 second hopsampled

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References

2021Applications of deep learning in stock market prediction: Recent progress725 cited
2020The link between bike sharing and subway use during the COVID-19 pandemic: The case-study of New York's Citi Bike395 cited
2015Traffic prediction in a bike-sharing system361 cited
2016Rebalancing Bike Sharing Systems194 cited
2020Assessing the Impact of COVID-19 on Bike-Sharing Usage: The Case of Thessaloniki, Greece150 cited
2019Predicting bike sharing demand using recurrent neural networks90 cited
2017Functional Zone Based Hierarchical Demand Prediction For Bike System Expansion77 cited
2020Predicting station level demand in a bike‐sharing system using recurrent neural networks63 cited
2021Machine Learning Approaches to Bike-Sharing Systems: A Systematic Literature Review62 cited

Cited by

2022Exploring the role of passengers’ attitude in the integration of dockless bike-sharing and public transit: A hybrid choice modeling approach42 cited
2023Enhancing Sustainable Transportation: AI-Driven Bike Demand Forecasting in Smart Cities19 cited
2023Meta-analysis of shared micromobility ridership determinants18 cited
2023Graph Neural Network-Based Design Decision Support for Shared Mobility Systems17 cited
2024A bike-sharing demand prediction model based on Spatio-Temporal Graph Convolutional Networks

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14 cited

2024Predicting travel demand of a bike sharing system using graph convolutional neural networks13 cited

2024Perceived value, service quality and behavioral intentions towards bike-sharing services: Using an extended technology acceptance model13 cited

2023Prediction bike-sharing demand with gradient boosting methods12 cited

2024Studying Spatial Unevenness of Transport Demand in Cities Using Machine Learning Methods10 cited

2025Traffic prediction and road space optimization for the integration of dockless bike-sharing and subway8 cited

2025How spatial scales enhance prediction: an interpretable multi-scale framework for bike-sharing demand prediction8 cited

2024Interpretable Bike-Sharing Activity Prediction with a Temporal Fusion Transformer to Unveil Influential Factors: A Case Study in Hamburg, Germany7 cited

2024Analysis of Taxi Demand and Traffic Influencing Factors in Urban Core Area Based on Data Field Theory and GWR Model: A Case Study of Beijing7 cited

2024Study of the Demand for Ecological Means of Transport in Micromobility: A Case of Bikesharing in Szczecin, Poland6 cited

2025System-Wide Optimization of Free-Floating Bike-Sharing for Urban Rail Stations: A demand prediction and scheduling approach5 cited

2023Discrete wavelet transform application for bike sharing system check-in/out demand prediction5 cited