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Hierarchical Prediction Based on Network-Representation-Learning-Enhanced Clustering for Bike-Sharing System in Smart City

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References

2010Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system446 cited
2015Traffic prediction in a bike-sharing system361 cited
2009Sensing and predicting the pulse of the city through shared bicycling307 cited
2014Model-Based Count Series Clustering for Bike Sharing System Usage Mining: A Case Study with the Vélib’ System of Paris182 cited
2019Citywide Bike Usage Prediction in a Bike-Sharing System106 cited
2019Hierarchical prediction based on two-level Gaussian mixture model clustering for bike-sharing system75 cited
2020A Hybrid Machine Learning Model for Demand Prediction of Edge-Computing-Based Bike-Sharing System Using Internet of Things73 cited
2019Mobility Modeling and Data-Driven Closed-Loop Prediction in Bike-Sharing Systems49 cited

Cited by

2023Multi-objective optimal scheduling model for shared bikes based on spatiotemporal big data19 cited
2022Quantifying the comprehensive benefit of the bike-sharing system under cycling behavior differences16 cited
2023Is digital finance environmentally friendly in China? Evidence from shared-bike trips16 cited
2022A Meta-Learning Algorithm for Rebalancing the Bike-Sharing System in IoT Smart City16 cited
2024An Adaptive Spatial-Temporal Method Capturing for Short-Term Bike-Sharing Prediction10 cited

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

2021Human Origin‐Destination Flow Prediction Based on Large Scale Mobile Signal Data6 cited

2025Robust spatio-temporal demand prediction for bike-sharing systems with dynamic hierarchical structure4 cited

2025Predicting street-level distribution of bike-sharing traffic volume in metro station areas using integrated generative adversarial networks3 cited