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Advanced Visual Interaction with Public Bicycle Sharing Systems
12 references·2 citing·47 second hop
Advanced Visual Interaction with Public Bicycle Sharing Systems (2021)Advanced Visual Interaction with Public B…Visual analytics of urban transportation from a bike-sharing and taxi perspective (2020)Visual analytics of urban tra…The Anatomy of the Daily Usage of Bike Sharing Systems:Elevation, Distance and Seasonality (2020)The Anatomy of the Daily Usag…The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets (2018)The station-free sharing bike…Short-term prediction for bike-sharing service using machine learning (2018)Short-term prediction for bik…Forecasting at Scale (2017)Forecasting at ScaleA forecast for bicycle rental demand based on random forests and multiple linear regression (2017)A forecast for bicycle rental…Bike sharing: A review of evidence on impacts and processes of implementation and operation (2015)Bike sharing: A review of evi…Analysing bicycle-sharing system user destination choice preferences: Chicago’s Divvy system (2015)Analysing bicycle-sharing sys…Bicycle Sharing Systems Demand (2014)Bicycle Sharing Systems DemandStudying commuting behaviours using collaborative visual analytics (2013)Studying commuting behaviours…Mining bicycle sharing data for generating insights into sustainable transport systems (2013)Mining bicycle sharing data f…SHARED BICYCLES IN A CITY: A SIGNAL PROCESSING AND DATA ANALYSIS PERSPECTIVE (2011)SHARED BICYCLES IN A CITY: A …The Effect of Gender and Age in Small Bicycle Sharing Systems: Case Study from Logroño, Spain (2023)The Effect of Gender and Age …Scalability evaluation of forecasting methods applied to bicycle sharing systems (2023)Scalability evaluation of for…The sustainable mobility paradigm (2007)Bike-sharing: History, Impacts, Models of Provision, and Future (2009)Bike Share: A Synthesis of the Literature (2013)Sharing riders: How bikesharing impacts bus ridership in New York City (2017)A review on bike-sharing: The factors affecting bike-sharing demand (2019)The link between bike sharing and subway use during the COVID-19 pandemic: The case-study of New York's Citi Bike (2020)Factors Affecting Bicycling Demand (2007)Commuting by Bicycle: An Overview of the Literature (2009)Bikesharing in Europe, the Americas, and Asia (2010)Bicycle sharing system design with capacity allocations (2018)An equality-based model for bike-sharing stations location in bicycle-public transport multimodal mobility (2020)The Bike-Sharing System as an Element of Enhancing Sustainable Mobility—A Case Study based on a City in Poland (2020)Electronic meeting systems (1991)Geographic Information Analysis (2005)Geographic Information Analysis (2010)Extracting activity patterns from taxi trajectory data: a two-layer framework using spatio-temporal clustering, Bayesian probability and Monte Carlo simulation (2019)A spatiotemporal dynamic analyses approach for dockless bike-share system (2020)Bike-Sharing Demand Prediction at Community Level under COVID-19 Using Deep Learning (2022)Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system (2010)Explaining walking distance to public transport: The dominance of public transport supply (2013)Health effects of the London bicycle sharing system: health impact modelling study (2014)Intentions to use bike-sharing for holiday cycling: An application of the Theory of Planned Behavior (2014)Evaluation of sustainable transport research in 2000–2019 (2020)MODELING THE CHOICE OF RESIDENTIAL LOCATION (1978)Bike sharing differences among Millennials, Gen Xers, and Baby Boomers: Lessons learnt from New York City’s bike share (2018)A model framework for discovering the spatio-temporal usage patterns of public free-floating bike-sharing system (2019)Examining spatiotemporal changing patterns of bike-sharing usage during COVID-19 pandemic (2021)Sensing and predicting the pulse of the city through shared bicycling (2009)Structure of Urban Movements: Polycentric Activity and Entangled Hierarchical Flows (2011)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)Statistical and Econometric Methods for Transportation Data Analysis (2003)Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto (2015)Deep learning with long short-term memory networks for financial market predictions (2017)A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data (2020)Identifying the nonlinear relationship between free-floating bike sharing usage and built environment (2020)Traffic prediction in a bike-sharing system (2015)Predictive and prescriptive performance of bike-sharing demand forecasts for inventory management (2022)Artificial intelligence for improving public transport: a mapping study (2023)On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles (2023)Season wise bike sharing demand analysis using random forest algorithm (2020)Machine Learning Approaches to Bike-Sharing Systems: A Systematic Literature Review (2021)The derived demand for advertising expenses and implications on sustainability: a comparative study using deep learning and traditional machine learning methods (2022)Fake news on Twitter during the 2016 U.S. presidential election (2019)The good, the bad and the ugly on COVID-19 tourism recovery (2020)Forecasting: theory and practice (2022)
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References

  • 2017Forecasting at Scale2,900 cited
  • 2015Bike sharing: A review of evidence on impacts and processes of implementation and operation471 cited
  • 2013Mining bicycle sharing data for generating insights into sustainable transport systems368 cited
  • 2018The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets291 cited
  • 2011SHARED BICYCLES IN A CITY: A SIGNAL PROCESSING AND DATA ANALYSIS PERSPECTIVE251 cited
  • 2015Analysing bicycle-sharing system user destination choice preferences: Chicago’s Divvy system199 cited
  • 2014Bicycle Sharing Systems Demand120 cited
  • 2018Short-term prediction for bike-sharing service using machine learning86 cited
  • 2017A forecast for bicycle rental demand based on random forests and multiple linear regression71 cited
  • 2013Studying commuting behaviours using collaborative visual analytics60 cited
  • 2020Visual analytics of urban transportation from a bike-sharing and taxi perspective12 cited
  • 2020The Anatomy of the Daily Usage of Bike Sharing Systems:Elevation, Distance and Seasonality8 cited

Cited by

  • 2023Scalability evaluation of forecasting methods applied to bicycle sharing systems5 cited
  • 2023The Effect of Gender and Age in Small Bicycle Sharing Systems: Case Study from Logroño, Spain

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4 cited