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Scalability evaluation of forecasting methods applied to bicycle sharing systems
16 references·0 citing·39 second hop
Scalability evaluation of forecasting methods applied to bicycle sharing systems (2023)Scalability evaluation of forecasting met…The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets (2018)The station-free sharing bike…Investigation on the effects of weather and calendar events on bike-sharing according to the trip patterns of bike rentals of stations (2018)Investigation on the effects …Forecasting at Scale (2017)Forecasting at ScaleTraffic prediction in a bike-sharing system (2015)Traffic prediction in a bike-…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 …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…The impact of weather conditions on bikeshare trips in Washington, DC (2014)The impact of weather conditi…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…Health effects of the London bicycle sharing system: health impact modelling study (2014)Health effects of the London …Station-Level Forecasting of Bikesharing Ridership (2013)Station-Level Forecasting of …Models for Effective Deployment and Redistribution of Bicycles Within Public Bicycle-Sharing Systems (2013)Models for Effective Deployme…Use of a New Public Bicycle Share Program in Montreal, Canada (2011)Use of a New Public Bicycle S…SHARED BICYCLES IN A CITY: A SIGNAL PROCESSING AND DATA ANALYSIS PERSPECTIVE (2011)SHARED BICYCLES IN A CITY: A …Sensing and predicting the pulse of the city through shared bicycling (2009)Sensing and predicting the pu…Forecasting principles and practiceForecasting principles and pr…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)Bikesharing in Europe, the Americas, and Asia (2010)Environmental benefits of bike sharing: A big data-based analysis (2018)Statistical and Econometric Methods for Transportation Data Analysis (2003)Walking, Bicycling, and Urban Landscapes: Evidence From the San Francisco Bay Area (2003)Bikeshare trip generation in New York City (2016)Built environment effects on the integration of dockless bike-sharing and the metro (2020)Public health benefits of strategies to reduce greenhouse-gas emissions: urban land transport (2009)Do the Health Benefits of Cycling Outweigh the Risks? (2010)Cycling as a Part of Daily Life: A Review of Health Perspectives (2015)Does More Cycling Mean More Diversity in Cycling? (2015)Health Impacts of Active Transportation in Europe (2016)Travel and the Built Environment: A Synthesis (2001)Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures (2003)Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system (2010)Dynamic cluster-based over-demand prediction in bike sharing systems (2016)Rebalancing Bike Sharing Systems (2016)Planning Bike Lanes based on Sharing-Bikes' Trajectories (2017)Deep learning with long short-term memory networks for financial market predictions (2017)A model framework for discovering the spatio-temporal usage patterns of public free-floating bike-sharing system (2019)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)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)The scaling laws of human travel (2006)Understanding individual human mobility patterns (2008)Understanding Bike-Sharing Systems using Data Mining: Exploring Activity Patterns (2011)Large-Scale Vehicle Sharing Systems: Analysis of Vélib' (2012)Modelling the potential effect of shared bicycles on public transport travel times in Greater Helsinki: An open data approach (2013)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)A Comparison of ARIMA and LSTM in Forecasting Time Series (2018)The Performance of LSTM and BiLSTM in Forecasting Time Series (2019)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)
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References

  • n.d.Forecasting principles and practice4,364 cited
  • 2017Forecasting at Scale2,900 cited
  • 2015Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto570 cited
  • 2014How land-use and urban form impact bicycle flows: evidence from the bicycle-sharing system (BIXI) in Montreal486 cited
  • 2015Bike sharing: A review of evidence on impacts and processes of implementation and operation471 cited
  • 2014Health effects of the London bicycle sharing system: health impact modelling study382 cited
  • 2015Traffic prediction in a bike-sharing system361 cited
  • 2014The impact of weather conditions on bikeshare trips in Washington, DC330 cited
  • 2009Sensing and predicting the pulse of the city through shared bicycling307 cited
  • 2018The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets291 cited
  • 2013Station-Level Forecasting of Bikesharing Ridership277 cited
  • 2011SHARED BICYCLES IN A CITY: A SIGNAL PROCESSING AND DATA ANALYSIS PERSPECTIVE251 cited
  • 2013Models for Effective Deployment and Redistribution of Bicycles Within Public Bicycle-Sharing Systems248 cited
  • 2015Analysing bicycle-sharing system user destination choice preferences: Chicago’s Divvy system199 cited

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  • 2011Use of a New Public Bicycle Share Program in Montreal, Canada190 cited
  • 2018Investigation on the effects of weather and calendar events on bike-sharing according to the trip patterns of bike rentals of stations174 cited
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