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Short-term Prediction of Bike-sharing Usage Considering Public Transport: A LSTM Approach
16 references·12 citing·43 second hop
Short-term Prediction of Bike-sharing Usage Considering Public Transport: A LSTM Approach (2018)Short-term Prediction of Bike-sharing Usa…Modeling bike availability in a bike-sharing system using machine learning (2017)Modeling bike availability in…Bike share in Fargo, North Dakota: Keys to success and factors affecting ridership (2017)Bike share in Fargo, North Da…Bicycle-metro integration in a growing city: The determinants of cycling as a transfer mode in metro station areas in Beijing (2017)Bicycle-metro integration in …An empirical analysis of bike sharing usage and rebalancing: Evidence from Barcelona and Seville (2017)An empirical analysis of bike…Exploring the impact of built environment factors on the use of public bikes at bike stations: Case study in Zhongshan, China (2016)Exploring the impact of built…Optimizing the level of service quality of a bike-sharing system (2015)Optimizing the level of servi…Modeling Bike Sharing System using Built Environment Factors (2015)Modeling Bike Sharing System …Spatio-temporal patterns of a Public Bicycle Sharing Program: the effect of weather and calendar events (2014)Spatio-temporal patterns of a…Proactive vehicle routing with inferred demand to solve the bikesharing rebalancing problem (2014)Proactive vehicle routing wit…How land-use and urban form impact bicycle flows: evidence from the bicycle-sharing system (BIXI) in Montreal (2014)How land-use and urban form i…Evaluating public transit modal shift dynamics in response to bikesharing: a tale of two U.S. cities (2014)Evaluating public transit mod…Bicycle Sharing Systems Demand (2014)Bicycle Sharing Systems DemandModelling the potential effect of shared bicycles on public transport travel times in Greater Helsinki: An open data approach (2013)Modelling the potential effec…Cityride: A Predictive Bike Sharing Journey Advisor (2012)Cityride: A Predictive Bike S…Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system (2010)Urban cycles and mobility pat…Sensing and predicting the pulse of the city through shared bicycling (2009)Sensing and predicting the pu…Traffic prediction and road space optimization for the integration of dockless bike-sharing and subway (2025)Traffic prediction and road s…Toward a Holistic Bikeability Framework: Expert-Based Prioritization of Urban Cycling Criteria via AHP (2025)Toward a Holistic Bikeability…Spatiotemporal Data-Driven Hourly Bike-Sharing Demand Prediction Using ApexBoost Regression (2025)Spatiotemporal Data-Driven Ho…Assessing the impacts of transit systems and urban street features on bike-sharing ridership: A graph-based spatiotemporal analysis and prediction model (2025)Assessing the impacts of tran…Interpretable Bike-Sharing Activity Prediction with a Temporal Fusion Transformer to Unveil Influential Factors: A Case Study in Hamburg, Germany (2024)Interpretable Bike-Sharing Ac…Deep-learning-based model for prediction of crowding in a public transit system (2024)Deep-learning-based model for…A periodical decomposition-based two-stage NARX model for demand prediction of bike-sharing travel in hotspot areas (2024)A periodical decomposition-ba…Understanding cycling mobility: Bologna case study (2023)Understanding cycling mobilit…Determinants of station-based round-trip bikesharing demand (2023)Determinants of station-based…Bike Sharing Demand Prediction based on Knowledge Sharing across Modes: A Graph-based Deep Learning Approach (2022)Bike Sharing Demand Predictio…Enhancing the Accuracy of Peak Hourly Demand in Bike-Sharing Systems using a Graph Convolutional Network with Public Transit Usage Data (2021)Enhancing the Accuracy of Pea…Efficiency Comparison of Public Bike-Sharing Repositioning Strategies Based on Predicted Demand Patterns (2021)Efficiency Comparison of Publ…Making Cycling Irresistible: Lessons from The Netherlands, Denmark and Germany (2008)Bike-sharing: History, Impacts, Models of Provision, and Future (2009)Bikesharing in Europe, the Americas, and Asia (2010)How does our natural and built environment affect the use of bicycle sharing? (2016)Bicycle sharing system ‘success’ determinants (2017)Bike Share: A Synthesis of the Literature (2013)Bike sharing: A review of evidence on impacts and processes of implementation and operation (2015)Environmental benefits of bike sharing: A big data-based analysis (2018)A review on bike-sharing: The factors affecting bike-sharing demand (2019)Time Series Analysis: Forecasting and Control. (1978)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Mining bicycle sharing data for generating insights into sustainable transport systems (2013)Traffic prediction in a bike-sharing system (2015)Determinants of bicycle use: do municipal policies matter? (2004)Urban form, travel time, and cost relationships with tour complexity and mode choice (2007)Incorporating the impact of spatio-temporal interactions on bicycle sharing system demand: A case study of New York CitiBike system (2016)Dockless bike-sharing systems: what are the implications? (2020)Travel demand and the 3Ds: Density, diversity, and design (1997)Travel and the Built Environment: A Synthesis (2001)Travel and the Built Environment (2010)Bike-sharing systems and congestion: Evidence from US cities (2017)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)AN ECOLOGICAL APPROACH TO CREATING ACTIVE LIVING COMMUNITIES (2005)Commuting by Bicycle: An Overview of the Literature (2009)Mapping the bike sharing research published from 2010 to 2018: A scientometric review (2018)A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data (2020)Transport's historical, contemporary and future role in shaping urban development: Re-evaluating transit oriented development (2020)A micro-analysis of land use and travel in five neighborhoods in the San Francisco Bay Area (1997)Improving the sustainability of integrated transportation system with bike-sharing: A spatial agent-based approach (2018)Exploring travel patterns and trip purposes of dockless bike-sharing by analyzing massive bike-sharing data in Shanghai, China (2020)Identifying the nonlinear relationship between free-floating bike sharing usage and built environment (2020)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)The scaling laws of human travel (2006)Understanding Bike-Sharing Systems using Data Mining: Exploring Activity Patterns (2011)Large-Scale Vehicle Sharing Systems: Analysis of Vélib' (2012)Sharing riders: How bikesharing impacts bus ridership in New York City (2017)Built environment effects on the integration of dockless bike-sharing and the metro (2020)The link between bike sharing and subway use during the COVID-19 pandemic: The case-study of New York's Citi Bike (2020)Rebalancing Bike Sharing Systems (2016)Quantifying greenhouse gas emissions reduction from bike share systems: a model considering real-world trips and transportation mode choice patterns (2019)A review of bicycle-sharing service planning problems (2020)
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References

  • 2014How land-use and urban form impact bicycle flows: evidence from the bicycle-sharing system (BIXI) in Montreal486 cited
  • 2010Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system446 cited
  • 2014Evaluating public transit modal shift dynamics in response to bikesharing: a tale of two U.S. cities361 cited
  • 2009Sensing and predicting the pulse of the city through shared bicycling307 cited
  • 2013Modelling the potential effect of shared bicycles on public transport travel times in Greater Helsinki: An open data approach271 cited
  • 2016Exploring the impact of built environment factors on the use of public bikes at bike stations: Case study in Zhongshan, China258 cited
  • 2014Spatio-temporal patterns of a Public Bicycle Sharing Program: the effect of weather and calendar events257 cited
  • 2017Bicycle-metro integration in a growing city: The determinants of cycling as a transfer mode in metro station areas in Beijing249 cited
  • 2017An empirical analysis of bike sharing usage and rebalancing: Evidence from Barcelona and Seville239 cited
  • 2015Optimizing the level of service quality of a bike-sharing system218 cited
  • 2015Modeling Bike Sharing System using Built Environment Factors152 cited
  • 2014Proactive vehicle routing with inferred demand to solve the bikesharing rebalancing problem148 cited
  • 2012Cityride: A Predictive Bike Sharing Journey Advisor121 cited

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  • 2014Bicycle Sharing Systems Demand120 cited
  • 2017Bike share in Fargo, North Dakota: Keys to success and factors affecting ridership101 cited
  • 2017Modeling bike availability in a bike-sharing system using machine learning68 cited
  • Cited by

    • 2021Enhancing the Accuracy of Peak Hourly Demand in Bike-Sharing Systems using a Graph Convolutional Network with Public Transit Usage Data26 cited
    • 2022Bike Sharing Demand Prediction based on Knowledge Sharing across Modes: A Graph-based Deep Learning Approach21 cited
    • 2023Determinants of station-based round-trip bikesharing demand11 cited
    • 2025Spatiotemporal Data-Driven Hourly Bike-Sharing Demand Prediction Using ApexBoost Regression11 cited
    • 2021Efficiency Comparison of Public Bike-Sharing Repositioning Strategies Based on Predicted Demand Patterns11 cited
    • 2024Deep-learning-based model for prediction of crowding in a public transit system10 cited
    • 2025Traffic prediction and road space optimization for the integration of dockless bike-sharing and subway8 cited
    • 2025Assessing the impacts of transit systems and urban street features on bike-sharing ridership: A graph-based spatiotemporal analysis and prediction model7 cited
    • 2024Interpretable Bike-Sharing Activity Prediction with a Temporal Fusion Transformer to Unveil Influential Factors: A Case Study in Hamburg, Germany7 cited
    • 2025Toward a Holistic Bikeability Framework: Expert-Based Prioritization of Urban Cycling Criteria via AHP5 cited
    • 2023Understanding cycling mobility: Bologna case study5 cited
    • 2024A periodical decomposition-based two-stage NARX model for demand prediction of bike-sharing travel in hotspot areas3 cited