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A Demand-Centric Repositioning Strategy for Bike-Sharing Systems
16 references·2 citing·47 second hopsampled
A Demand-Centric Repositioning Strategy for Bike-Sharing Systems (2022)A Demand-Centric Repositioning Strategy f…Short-Term Prediction of Bike-Sharing Demand Using Multi-Source Data: A Spatial-Temporal Graph Attentional LSTM Approach (2022)Short-Term Prediction of Bike…Bike-Sharing Demand Prediction at Community Level under COVID-19 Using Deep Learning (2022)Bike-Sharing Demand Predictio…Intelligent management of bike sharing in smart cities using machine learning and Internet of Things (2021)Intelligent management of bik…Examining spatiotemporal changing patterns of bike-sharing usage during COVID-19 pandemic (2021)Examining spatiotemporal chan…Deep Learning for Short-Term Prediction of Available Bikes on Bike-Sharing Stations (2021)Deep Learning for Short-Term …Challenges and Opportunities in Dock-Based Bike-Sharing Rebalancing: A Systematic Review (2021)Challenges and Opportunities …The demand for cycle sharing: Examining the links between weather conditions, air quality levels, and cycling demand for regular and casual users (2020)The demand for cycle sharing:…Development of a station-level demand prediction and visualization tool to support bike-sharing systems’ operators (2020)Development of a station-leve…A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data (2020)A comparison in travel patter…A review on bike-sharing: The factors affecting bike-sharing demand (2019)A review on bike-sharing: The…Understanding bike sharing travel patterns: An analysis of trip data from eight cities (2018)Understanding bike sharing tr…Towards Station-Level Demand Prediction for Effective Rebalancing in Bike-Sharing Systems (2018)Towards Station-Level Demand …Dynamic repositioning strategy in a bike-sharing system; how to prioritize and how to rebalance a bike station (2018)Dynamic repositioning strateg…A Dynamic Approach to Rebalancing Bike-Sharing Systems (2018)A Dynamic Approach to Rebalan…Incorporating the impact of spatio-temporal interactions on bicycle sharing system demand: A case study of New York CitiBike system (2016)Incorporating the impact of s…Capturing the conditions that introduce systematic variation in bike-sharing travel behavior using data mining techniques (2016)Capturing the conditions that…The Model of Relationships Between Benefits of Bike-Sharing and Infrastructure Assessment on Example of the Silesian Region in Poland (2025)The Model of Relationships Be…A Trip Purpose Inference Method Considering the Origin and Destination of Shared Bicycles (2025)A Trip Purpose Inference Meth…Specification and Estimation of Spatial Panel Data Models (2003)Bike-sharing: History, Impacts, Models of Provision, and Future (2009)Bikesharing in Europe, the Americas, and Asia (2010)Bike sharing differences among Millennials, Gen Xers, and Baby Boomers: Lessons learnt from New York City’s bike share (2018)Unravel the landscape and pulses of cycling activities from a dockless bike-sharing system (2019)Dockless bike-sharing as a feeder mode of metro commute? The role of the feeder-related built environment: Analytical framework and empirical evidence (2020)Making Cycling Irresistible: Lessons from The Netherlands, Denmark and Germany (2008)Commuting by Bicycle: An Overview of the Literature (2009)Infrastructure, programs, and policies to increase bicycling: An international review (2009)A high resolution agent-based model to support walk-bicycle infrastructure investment decisions: A case study with New York City (2017)Hybrid cluster-regression approach to model bikeshare station usage (2017)Optimal location of bike-sharing stations: A built environment and accessibility approach (2022)The Markov-modulated Poisson process (MMPP) cookbook (1993)Quantifying greenhouse gas emissions reduction from bike share systems: a model considering real-world trips and transportation mode choice patterns (2019)The rebalancing of bike-sharing system under flow-type task window (2020)Green travel mobility of dockless bike-sharing based on trip data in big cities: A spatial network analysis (2021)The impact of weather conditions on bikeshare trips in Washington, DC (2014)Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto (2015)Traffic prediction in a bike-sharing system (2015)Forecasting Bike Sharing Demand Using Quantum Bayesian Network (2023)Strategic design of public bicycle sharing systems with service level constraints (2010)An equality-based model for bike-sharing stations location in bicycle-public transport multimodal mobility (2020)A two-stage robust approach to integrated station location and rebalancing vehicle service design in bike-sharing systems (2021)The scaling laws of human travel (2006)Understanding individual human mobility patterns (2008)Modelling the scaling properties of human mobility (2010)Optimizing bike sharing systems from the life cycle greenhouse gas emissions perspective (2020)Understanding intra-urban human mobility through an exploratory spatiotemporal analysis of bike-sharing trajectories (2020)Spatial heterogeneity in distance decay of using bike sharing: An empirical large-scale analysis in Shanghai (2021)Travel and the Built Environment: A Synthesis (2001)Sustainable Mobility: A Review of Possible Actions and Policies (2020)The link between bike sharing and subway use during the COVID-19 pandemic: The case-study of New York's Citi Bike (2020)Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity (1996)Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices (2010)The effects of built environment spatial variation on bike-sharing usage: A case study of Suzhou, China (2021)Bike Share Usage and the Built Environment: A Review (2022)Spatiotemporal exploration of the non-linear impacts of accessibility on metro ridership (2022)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)A Survey of Technologies and Recent Developments for Sustainable Smart Cycling (2021)Decision support for sustainable urban mobility: A case study of the Rhine-Ruhr area (2022)The travel pattern difference in dockless micro-mobility: Shared e-bikes versus shared bikes (2024)COVID-19 and Racial/Ethnic Disparities (2020)Economic and social consequences of human mobility restrictions under COVID-19 (2020)The effect of COVID-19 and subsequent social distancing on travel behavior (2020)COVID-19, the Built Environment, and Health (2021)Cycling in the Era of COVID-19: Lessons Learnt and Best Practice Policy Recommendations for a More Bike-Centric Future (2021)Improving short-term bike sharing demand forecast through an irregular convolutional neural network (2022)
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References

  • 2019A review on bike-sharing: The factors affecting bike-sharing demand460 cited
  • 2020A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data243 cited
  • 2016Incorporating the impact of spatio-temporal interactions on bicycle sharing system demand: A case study of New York CitiBike system235 cited
  • 2021Examining spatiotemporal changing patterns of bike-sharing usage during COVID-19 pandemic192 cited
  • 2018A Dynamic Approach to Rebalancing Bike-Sharing Systems147 cited
  • 2018Dynamic repositioning strategy in a bike-sharing system; how to prioritize and how to rebalance a bike station145 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
  • 2016Capturing the conditions that introduce systematic variation in bike-sharing travel behavior using data mining techniques93 cited
  • 2021Intelligent management of bike sharing in smart cities using machine learning and Internet of Things88 cited
  • 2022Bike-Sharing Demand Prediction at Community Level under COVID-19 Using Deep Learning57 cited
  • 2022Short-Term Prediction of Bike-Sharing Demand Using Multi-Source Data: A Spatial-Temporal Graph Attentional LSTM Approach52 cited
  • 2020Development of a station-level demand prediction and visualization tool to support bike-sharing systems’ operators

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45 cited
  • 2020The demand for cycle sharing: Examining the links between weather conditions, air quality levels, and cycling demand for regular and casual users41 cited
  • 2021Deep Learning for Short-Term Prediction of Available Bikes on Bike-Sharing Stations39 cited
  • 2021Challenges and Opportunities in Dock-Based Bike-Sharing Rebalancing: A Systematic Review36 cited
  • Cited by

    • 2025A Trip Purpose Inference Method Considering the Origin and Destination of Shared Bicycles5 cited
    • 2025The Model of Relationships Between Benefits of Bike-Sharing and Infrastructure Assessment on Example of the Silesian Region in Poland4 cited