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Model-Based Count Series Clustering for Bike Sharing System Usage Mining: A Case Study with the Vélib’ System of Paris

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Cited by

2015Understanding Spatiotemporal Patterns of Biking Behavior by Analyzing Massive Bike Sharing Data in Chicago

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2015Big Data and Cycling160 cited

2017Understanding the impacts of a public transit disruption on bicycle sharing mobility patterns: A case of Tube strike in London152 cited

2018Built environment and public bike usage for metro access: A comparison of neighborhoods in Beijing, Taipei, and Tokyo143 cited

2017The Sharing Economy in Computing130 cited

2018Understanding bike sharing travel patterns: An analysis of trip data from eight cities120 cited

2018Towards Station-Level Demand Prediction for Effective Rebalancing in Bike-Sharing Systems103 cited

2020An equality-based model for bike-sharing stations location in bicycle-public transport multimodal mobility102 cited

2021Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network100 cited

2018A comparison of users’ characteristics between station-based bikesharing system and free-floating bikesharing system: case study in Hangzhou, China96 cited

2021Intelligent management of bike sharing in smart cities using machine learning and Internet of Things88 cited

2020Understanding intra-urban human mobility through an exploratory spatiotemporal analysis of bike-sharing trajectories85 cited

2017Hybrid cluster-regression approach to model bikeshare station usage84 cited

2016Bicycle-Sharing System Analysis and Trip Prediction84 cited

2019Modeling bike counts in a bike-sharing system considering the effect of weather conditions80 cited

2019Modeling bike counts in a bike-sharing system considering the effect of weather conditions77 cited