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Improving short-term bike sharing demand forecast through an irregular convolutional neural network

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References

2006Issues in sustainable transportation664 cited
2004Sustainable transportation and quality of life525 cited
2011Urban sustainable transportation indicators for global comparison340 cited
2013Optimal inventory management of a bike-sharing station272 cited
2019A model framework for discovering the spatio-temporal usage patterns of public free-floating bike-sharing system195 cited
2021Examining spatiotemporal changing patterns of bike-sharing usage during COVID-19 pandemic192 cited
2019Unravel the landscape and pulses of cycling activities from a dockless bike-sharing system188 cited
2020Using data mining techniques for bike sharing demand prediction in metropolitan city164 cited
2020Using graph structural information about flows to enhance short-term demand prediction in bike-sharing systems116 cited

Cited by

2023Forecasting Bike Sharing Demand Using Quantum Bayesian Network42 cited
2023Spatiotemporal analysis of bike-share demand using DTW-based clustering and predictive analytics36 cited
2024The association between travel demand of docked bike-sharing and the built environment: Evidence from seven US cities29 cited
2023Enhancing multistep-ahead bike-sharing demand prediction with a two-stage online learning-based time-series model: insight from Seoul19 cited
2023

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Enhancing Sustainable Transportation: AI-Driven Bike Demand Forecasting in Smart Cities

19 cited

2023Graph Neural Network-Based Design Decision Support for Shared Mobility Systems17 cited

2024Exploring Travel Mobility in Integrated Usage of Dockless Bike-Sharing and the Metro Based on Multisource Data16 cited

2024Forecasting the Usage of Bike-Sharing Systems through Machine Learning Techniques to Foster Sustainable Urban Mobility14 cited

2025Human-centered GeoAI foundation models: where GeoAI meets human dynamics13 cited

2025Spatiotemporal Data-Driven Hourly Bike-Sharing Demand Prediction Using ApexBoost Regression11 cited

2024An Adaptive Spatial-Temporal Method Capturing for Short-Term Bike-Sharing Prediction10 cited

2025Explainable Graph Neural Networks for Optimized Allocation in Spatio‐Temporal Bike Sharing Demand Prediction10 cited

2024CGA-STNet: A dockless shared bicycle demand prediction model considering multiple spatial features and time periodicity9 cited

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

2024Estimation of travel flux between urban blocks by combining spatio-temporal and purpose correlation8 cited

2024Features that influence bike sharing demand7 cited