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A Dynamical Network View of Lyon’s Vélo’v Shared Bicycle System
7 references·13 citing·44 second hop
A Dynamical Network View of Lyon’s Vélo’v Shared Bicycle System (2013)A Dynamical Network View of Lyon’s Vélo’v…Measuring the impact of opening the London shared bicycle scheme to casual users (2012)Measuring the impact of openi…Large-Scale Vehicle Sharing Systems: Analysis of Vélib' (2012)Large-Scale Vehicle Sharing S…Structure of Urban Movements: Polycentric Activity and Entangled Hierarchical Flows (2011)Structure of Urban Movements:…SHARED BICYCLES IN A CITY: A SIGNAL PROCESSING AND DATA ANALYSIS PERSPECTIVE (2011)SHARED BICYCLES IN A CITY: A …Characterizing the speed and paths of shared bicycle use in Lyon (2010)Characterizing the speed and …Sensing and predicting the pulse of the city through shared bicycling (2009)Sensing and predicting the pu…Measuring the Pulse of the City through Shared Bicycle Programs (2008)Measuring the Pulse of the Ci…Analyzing the Spatial Interaction Characteristics of Urban Area Shared Bicycle Systems: A Case Study of Beijing’s Central Area (2023)Analyzing the Spatial Interac…Spatial-temporal network analysis of the public bicycle sharing system in Medellín, Colombia (2022)Spatial-temporal network anal…Forecasting public bicycle rental demand using an optimized eXtreme Gradient Boosting model (2021)Forecasting public bicycle re…Examining spatio-temporal mobility patterns of bike-sharing systems: the case of BiciMAD (Madrid) (2021)Examining spatio-temporal mob…Deep Learning for Short-Term Prediction of Available Bikes on Bike-Sharing Stations (2021)Deep Learning for Short-Term …A Balanced Strategy for the FFBS Operator Integrating Dispatch Area, Route, and Depot Based on Multimodel Technologies (2021)A Balanced Strategy for the F…Who benefits most from Lyon’s bike sharing system? (2020)Who benefits most from Lyon’s…Modelling Time-varying Mobility Flows Using Function-on-Function Regression: Analysis of a Bike Sharing System in the City of Milan (2020)Modelling Time-varying Mobili…Towards Efficient Sharing: A Usage Balancing Mechanism for Bike Sharing Systems (2019)Towards Efficient Sharing: A …A Spatio-Temporal Flow Model of Urban Dockless Shared Bikes Based on Points of Interest Clustering (2019)A Spatio-Temporal Flow Model …A Spatio-Temporal Flow Model of Dockless Shared Bikes (2019)A Spatio-Temporal Flow Model …Exploring Activity Patterns of The Taipei Public Bikesharing System (2015)Exploring Activity Patterns o…Clustering the Vélib׳ dynamic Origin/Destination flows using a family of Poisson mixture models (2014)Clustering the Vélib׳ dynamic…Bikesharing in Europe, the Americas, and Asia (2010)Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system (2010)Incentives and redistribution in homogeneous bike-sharing systems with stations of finite capacity (2014)Exploring the impact of built environment factors on the use of public bikes at bike stations: Case study in Zhongshan, China (2016)Sharing riders: How bikesharing impacts bus ridership in New York City (2017)The Spatial Economy (1999)The scaling laws of human travel (2006)Understanding individual human mobility patterns (2008)From mobile phone data to the spatial structure of cities (2014)Uncovering Patterns of Inter-Urban Trip and Spatial Interaction from Social Media Check-In Data (2014)Revealing travel patterns and city structure with taxi trip data (2015)The London congestion charge: a tentative economic appraisal (2005)Understanding Spatiotemporal Patterns of Biking Behavior by Analyzing Massive Bike Sharing Data in Chicago (2015)Examining usage patterns of a bike-sharing scheme in a medium sized city (2017)Bicycle Commuting and Facilities in Major U.S. Cities: If You Build Them, Commuters Will Use Them (2003)Making Cycling Irresistible: Lessons from The Netherlands, Denmark and Germany (2008)Smart card data use in public transit: A literature review (2011)Mining Ticketing Logs for Usage Characterization with Nonnegative Matrix Factorization (2016)Understanding bike trip patterns leveraging bike sharing system open data (2016)Strength-weighted flow cluster method considering spatiotemporal contiguity to reveal interregional association patterns (2023)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Digital Footprinting: Uncovering Tourists with User-Generated Content (2008)Identifying Urban Functional Zones Using Public Bicycle Rental Records and Point-of-Interest Data (2018)Understanding intra-urban human mobility through an exploratory spatiotemporal analysis of bike-sharing trajectories (2020)Intelligent management of bike sharing in smart cities using machine learning and Internet of Things (2021)Washington DC - USA (2008)Big Data and Cycling (2015)Exploring bikesharing travel time and trip chain by gender and day of the week (2015)Bike sharing use in conjunction to public transport: Exploring spatiotemporal, age and gender dimensions in Oslo, Norway (2020)Mining bicycle sharing data for generating insights into sustainable transport systems (2013)Cycling towards a more sustainable transport future (2017)Associations of built environments with spatiotemporal patterns of shared scooter use: A comparison with shared bike use (2022)Quantifying the comprehensive benefit of the bike-sharing system under cycling behavior differences (2022)Bike-sharing systems for sustainable cities: Demand prediction using graph neural networks and spatial aggregation (2025)Strategic design of public bicycle sharing systems with service level constraints (2010)Environmental benefits of bike sharing: A big data-based analysis (2018)Enhancing multistep-ahead bike-sharing demand prediction with a two-stage online learning-based time-series model: insight from Seoul (2023)Investigating the temporal differences among bike-sharing users through comparative analysis based on count, time series, and data mining models (2023)A bike-sharing demand prediction model based on Spatio-Temporal Graph Convolutional Networks (2024)Incentivizing Users for Balancing Bike Sharing Systems (2015)Incorporating the impact of spatio-temporal interactions on bicycle sharing system demand: A case study of New York CitiBike system (2016)An empirical analysis of bike sharing usage and rebalancing: Evidence from Barcelona and Seville (2017)Understanding Bike-Sharing Systems using Data Mining: Exploring Activity Patterns (2011)Modelling the potential effect of shared bicycles on public transport travel times in Greater Helsinki: An open data approach (2013)
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References

  • 2011Structure of Urban Movements: Polycentric Activity and Entangled Hierarchical Flows457 cited
  • 2009Sensing and predicting the pulse of the city through shared bicycling307 cited
  • 2012Large-Scale Vehicle Sharing Systems: Analysis of Vélib'291 cited
  • 2011SHARED BICYCLES IN A CITY: A SIGNAL PROCESSING AND DATA ANALYSIS PERSPECTIVE251 cited
  • 2010Characterizing the speed and paths of shared bicycle use in Lyon196 cited
  • 2012Measuring the impact of opening the London shared bicycle scheme to casual users176 cited
  • 2008Measuring the Pulse of the City through Shared Bicycle Programs90 cited

Cited by

  • 2021Deep Learning for Short-Term Prediction of Available Bikes on Bike-Sharing Stations39 cited
  • 2021Examining spatio-temporal mobility patterns of bike-sharing systems: the case of BiciMAD (Madrid)38 cited
  • 2014Clustering the Vélib׳ dynamic Origin/Destination flows using a family of Poisson mixture models26 cited
  • 2019Towards Efficient Sharing: A Usage Balancing Mechanism for Bike Sharing Systems22 cited
  • 2019A Spatio-Temporal Flow Model of Urban Dockless Shared Bikes Based on Points of Interest Clustering13 cited
  • 2022Spatial-temporal network analysis of the public bicycle sharing system in Medellín, Colombia10 cited
  • 2023Analyzing the Spatial Interaction Characteristics of Urban Area Shared Bicycle Systems: A Case Study of Beijing’s Central Area

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8 cited
  • 2020Modelling Time-varying Mobility Flows Using Function-on-Function Regression: Analysis of a Bike Sharing System in the City of Milan7 cited
  • 2015Exploring Activity Patterns of The Taipei Public Bikesharing System6 cited
  • 2021A Balanced Strategy for the FFBS Operator Integrating Dispatch Area, Route, and Depot Based on Multimodel Technologies5 cited
  • 2020Who benefits most from Lyon’s bike sharing system?4 cited
  • 2021Forecasting public bicycle rental demand using an optimized eXtreme Gradient Boosting model4 cited
  • 2019A Spatio-Temporal Flow Model of Dockless Shared Bikes3 cited