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Forecasting the Usage of Bike-Sharing Systems through Machine Learning Techniques to Foster Sustainable Urban Mobility
16 references·1 citing·48 second hopsampled
Forecasting the Usage of Bike-Sharing Systems through Machine Learning Techniques to Foster Sustainable Urban Mobility (2024)Forecasting the Usage of Bike-Sharing Sys…Improving short-term bike sharing demand forecast through an irregular convolutional neural network (2022)Improving short-term bike sha…Short-Term Forecast of Bicycle Usage in Bike Sharing Systems: A Spatial-Temporal Memory Network (2021)Short-Term Forecast of Bicycl…Using weather forecasts to forecast whether bikes are used (2020)Using weather forecasts to fo…Using graph structural information about flows to enhance short-term demand prediction in bike-sharing systems (2020)Using graph structural inform…Season wise bike sharing demand analysis using random forest algorithm (2020)Season wise bike sharing dema…Development of a station-level demand prediction and visualization tool to support bike-sharing systems’ operators (2020)Development of a station-leve…Is Bicycle Sharing an Environmental Practice? Evidence from a Life Cycle Assessment Based on Behavioral Surveys (2019)Is Bicycle Sharing an Environ…Impact of Weather Conditions and Built Environment on Public Bikesharing Trips in Beijing (2019)Impact of Weather Conditions …Understanding the usage of dockless bike sharing in Singapore (2018)Understanding the usage of do…The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets (2018)The station-free sharing bike…Integration of a Multilevel Transport System Model into Sustainable Urban Mobility Planning (2018)Integration of a Multilevel T…A modeling framework for the dynamic management of free-floating bike-sharing systems (2018)A modeling framework for the …Bike share in Fargo, North Dakota: Keys to success and factors affecting ridership (2017)Bike share in Fargo, North Da…Mobility Modeling and Prediction in Bike-Sharing Systems (2016)Mobility Modeling and Predict…Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto (2015)Effects of built environment …Bikeshare: A Review of Recent Literature (2015)Bikeshare: A Review of Recent…Leveraging causal AI to uncover the dynamics in sustainable urban transport: A bike sharing time-series study (2025)Leveraging causal AI to uncov…Nudge: improving decisions about health, wealth, and happiness (2008)Commuting by Bicycle: An Overview of the Literature (2009)Bikesharing in Europe, the Americas, and Asia (2010)Factors influencing the choice of shared bicycles and shared electric bikes in Beijing (2016)Cycling towards a more sustainable transport future (2017)The link between bike sharing and subway use during the COVID-19 pandemic: The case-study of New York's Citi Bike (2020)Travel and the Built Environment: A Synthesis (2001)Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures (2003)Bike-sharing: History, Impacts, Models of Provision, and Future (2009)Environmental benefits of bike sharing: A big data-based analysis (2018)A review on bike-sharing: The factors affecting bike-sharing demand (2019)Built environment effects on the integration of dockless bike-sharing and the metro (2020)Friendship and mobility (2011)A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems (2019)A model framework for discovering the spatio-temporal usage patterns of public free-floating bike-sharing system (2019)Using data mining techniques for bike sharing demand prediction in metropolitan city (2020)Bike Share: A Synthesis of the Literature (2013)Factors influencing the acceptance and use of a bicycle sharing system: Applying an extended Unified Theory of Acceptance and Use of Technology (UTAUT) (2020)Examining factors associated with bike-and-ride (BnR) activities around metro stations in large-scale dockless bikesharing systems (2021)Bike Share Usage and the Built Environment: A Review (2022)Strategic design of public bicycle sharing systems with service level constraints (2010)Understanding Bike-Sharing Systems using Data Mining: Exploring Activity Patterns (2011)Optimizing the location of stations in bike-sharing programs: A GIS approach (2012)Mapping the bike sharing research published from 2010 to 2018: A scientometric review (2018)A review of bicycle-sharing service planning problems (2020)On the Formation of Travel Demand Models and Economic Evaluation Measures of User Benefit (1977)The sustainable mobility paradigm (2007)Modelling Transport (2011)Sustainable Urban Mobility Plans: How Do They Work? (2019)“Sustainable Urban Mobility Plans”: Key Concepts and a Critical Revision on SUMPs Guidelines (2020)Evaluating the public acceptance of sustainable mobility interventions responding to Covid-19: The case of the Great Walk of Athens and the importance of citizen engagement (2022)How Accessibility Shapes Land Use (1959)Travel and the Built Environment (2010)Understanding intention and behavior toward sustainable usage of bike sharing by extending the theory of planned behavior (2019)A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data (2020)Dockless bike-sharing systems: what are the implications? (2020)Statistical and Econometric Methods for Transportation Data Analysis (2003)Deep learning with long short-term memory networks for financial market predictions (2017)Identifying the nonlinear relationship between free-floating bike sharing usage and built environment (2020)A Computer Movie Simulating Urban Growth in the Detroit Region (1970)Bike Sharing and Urban Mobility in a Post-Pandemic World (2020)Simulation, Optimization, and Machine Learning in Sustainable Transportation Systems: Models and Applications (2021)Sustainable transportation and quality of life (2004)Issues in sustainable transportation (2006)Urban sustainable transportation indicators for global comparison (2011)Forecasting Bike Sharing Demand Using Quantum Bayesian Network (2023)Spatiotemporal analysis of bike-share demand using DTW-based clustering and predictive analytics (2023)The association between travel demand of docked bike-sharing and the built environment: Evidence from seven US cities (2024)
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References

  • 2015Bikeshare: A Review of Recent Literature879 cited
  • 2015Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto570 cited
  • 2018Understanding the usage of dockless bike sharing in Singapore421 cited
  • 2018The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets291 cited
  • 2018A modeling framework for the dynamic management of free-floating bike-sharing systems269 cited
  • 2016Mobility Modeling and Prediction in Bike-Sharing Systems190 cited
  • 2018Integration of a Multilevel Transport System Model into Sustainable Urban Mobility Planning133 cited
  • 2020Using graph structural information about flows to enhance short-term demand prediction in bike-sharing systems116 cited
  • 2017Bike share in Fargo, North Dakota: Keys to success and factors affecting ridership101 cited
  • 2022Improving short-term bike sharing demand forecast through an irregular convolutional neural network98 cited
  • 2020Season wise bike sharing demand analysis using random forest algorithm64 cited
  • 2019Impact of Weather Conditions and Built Environment on Public Bikesharing Trips in Beijing64 cited
  • 2019Is Bicycle Sharing an Environmental Practice? Evidence from a Life Cycle Assessment Based on Behavioral Surveys62 cited
  • 2021

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Short-Term Forecast of Bicycle Usage in Bike Sharing Systems: A Spatial-Temporal Memory Network
51 cited
  • 2020Development of a station-level demand prediction and visualization tool to support bike-sharing systems’ operators45 cited
  • 2020Using weather forecasts to forecast whether bikes are used44 cited
  • Cited by

    • 2025Leveraging causal AI to uncover the dynamics in sustainable urban transport: A bike sharing time-series study12 cited