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Predicting travel demand of a bike sharing system using graph convolutional neural networks

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2013Mining smart card data for transit riders’ travel patterns606 cited
2018Applying a random forest method approach to model travel mode choice behavior491 cited
2014How land-use and urban form impact bicycle flows: evidence from the bicycle-sharing system (BIXI) in Montreal486 cited
2017A comparative study of machine learning classifiers for modeling travel mode choice423 cited
2013Station-Level Forecasting of Bikesharing Ridership277 cited
2004Cost–benefit analyses of walking and cycling track networks taking into account insecurity, health effects and external costs of motorized traffic272 cited
2018A modeling framework for the dynamic management of free-floating bike-sharing systems269 cited
2003Work Travel Mode Choice Modeling with Data Mining: Decision Trees and Neural Networks211 cited
2015Analysing bicycle-sharing system user destination choice preferences: Chicago’s Divvy system199 cited
2019A model framework for discovering the spatio-temporal usage patterns of public free-floating bike-sharing system195 cited
2016Mobility Modeling and Prediction in Bike-Sharing Systems190 cited
2015Understanding Spatiotemporal Patterns of Biking Behavior by Analyzing Massive Bike Sharing Data in Chicago176 cited
2014Modeling Demand for Bikesharing Systems96 cited
2019Predicting bike sharing demand using recurrent neural networks

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90 cited

2021Scootin’ in the rain: Does weather affect micromobility?83 cited

2014Predicting bikeshare system usage up to one day ahead71 cited

Cited by

2025Collaborative prediction of bike-sharing demand around metro stations using spatiotemporal neural network3 cited
2025Economic Optimization of Bike-Sharing Systems via Nonlinear Threshold Effects: An Interpretable Machine Learning Approach in Xi’an, China3 cited