References

• 2015Traffic prediction in a bike-sharing system361 cited
• 2011China's Hangzhou Public Bicycle320 cited
• 2018The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets291 cited
• 2013Public Bikesharing in North America212 cited
• 2022Improving short-term bike sharing demand forecast through an irregular convolutional neural network98 cited
• 2020Season wise bike sharing demand analysis using random forest algorithm64 cited
• 2022Bike sharing usage prediction with deep learning: a survey55 cited
• 2017Prediction of Station Level Demand in a Bike Sharing System Using Recurrent Neural Networks36 cited
• 2021A spatial analysis of demand patterns on a bicycle sharing scheme: Evidence from London31 cited
• 2019Robust bike-sharing stations allocation and path network design: a two-stage stochastic programming model26 cited
• 2018The public bicycle-sharing scheme in Brisbane, Australia: Evaluating the influence of its introduction on changes in time spent cycling amongst a middle- and older-age population25 cited
• 2021Tidal phenomenon of the dockless bike-sharing system and its causes: the case of Beijing23 cited
• 2021Mining dockless bikeshare data for insights into cyclist behavior and preferences: Evidence from the Boston region20 cited
• 2019Station-Level Hourly Bike Demand Prediction for Dynamic Repositioning in Bike Sharing Systems