References

• 2011Understanding Bike-Sharing Systems using Data Mining: Exploring Activity Patterns307 cited
• 2015Bike-sharing stations: A maximal covering location approach240 cited
• 2011A hub location inventory model for bicycle sharing system design: Formulation and solution231 cited
• 2017Bicycle sharing system ‘success’ determinants201 cited
• 2014Model-Based Count Series Clustering for Bike Sharing System Usage Mining: A Case Study with the Vélib’ System of Paris182 cited
• 2018A Dynamic Approach to Rebalancing Bike-Sharing Systems147 cited
• 2019Citywide Bike Usage Prediction in a Bike-Sharing System106 cited
• 2008Measuring the Pulse of the City through Shared Bicycle Programs90 cited
• 2020A Hybrid Machine Learning Model for Demand Prediction of Edge-Computing-Based Bike-Sharing System Using Internet of Things73 cited
• 2019Bicycle Sharing: Sustainable Value Creation and Institutionalisation Strategies in Barcelona55 cited
• 2018The Shared Bicycle and Its Network—Internet of Shared Bicycle (IoSB): A Review and Survey48 cited
• 2018A Hierarchical Demand Prediction Method with Station Clustering for Bike Sharing System45 cited
• 2018Travelers or locals? Identifying meaningful sub-populations from human movement data in the absence of ground truth41 cited

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