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Understanding the demand predictability of bike share systems: A station-level analysis
16 references·0 citing·45 second hop
Understanding the demand predictability of bike share systems: A station-level analysis (2023)Understanding the demand predictability o…Quantifying greenhouse gas emissions reduction from bike share systems: a model considering real-world trips and transportation mode choice patterns (2019)Quantifying greenhouse gas em…Exploring Bikesharing Travel Patterns and Trip Purposes Using Smart Card Data and Online Point of Interests (2017)Exploring Bikesharing Travel …Mobility Modeling and Prediction in Bike-Sharing Systems (2016)Mobility Modeling and Predict…Dynamic cluster-based over-demand prediction in bike sharing systems (2016)Dynamic cluster-based over-de…Understanding Spatiotemporal Patterns of Biking Behavior by Analyzing Massive Bike Sharing Data in Chicago (2015)Understanding Spatiotemporal …Traffic 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 …Bikeshare: A Review of Recent Literature (2015)Bikeshare: A Review of Recent…Proactive vehicle routing with inferred demand to solve the bikesharing rebalancing problem (2014)Proactive vehicle routing wit…Approaching the Limit of Predictability in Human Mobility (2013)Approaching the Limit of Pred…Better Understanding of Factors Influencing Likelihood of Using Shared Bicycle Systems and Frequency of Use (2012)Better Understanding of Facto…Limits of Predictability in Human Mobility (2010)Limits of Predictability in H…Bikesharing in Europe, the Americas, and Asia (2010)Bikesharing in Europe, the Am…Transportation Research Part A: Policy and Practice (2009)Transportation Research Part …Forecasting Crime Using the ARIMA Model (2008)Forecasting Crime Using the A…Automatic Time Series Forecasting: The forecast Package for R (2008)Automatic Time Series Forecas…Reality mining: sensing complex social systems (2005)The origin of bursts and heavy tails in human dynamics (2005)Understanding individual human mobility patterns (2008)Modelling the scaling properties of human mobility (2010)Friendship and mobility (2011)A universal model for mobility and migration patterns (2012)Understanding mobility based on GPS data (2008)Combining smart card data and household travel survey to analyze jobs–housing relationships in Beijing (2015)Understanding the tourist mobility using GPS: Where is the next place? (2016)Unveiling hidden migration and mobility patterns in climate stressed regions: A longitudinal study of six million anonymous mobile phone users in Bangladesh (2016)Nudge: improving decisions about health, wealth, and happiness (2008)Commuting by Bicycle: An Overview of the Literature (2009)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)Internet, Mail, and Mixed-Mode Surveys: The Tailored Design Method (2008)Internet, mail, and mixed-mode surveys: The tailored design method * (2010)Are Bikeshare Users Different from Regular Cyclists? (2013)The impact of weather conditions on bikeshare trips in Washington, DC (2014)Exploring the impact of built environment factors on the use of public bikes at bike stations: Case study in Zhongshan, China (2016)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)Another look at measures of forecast accuracy (2006)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (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)Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system (2010)Rebalancing Bike Sharing Systems (2016)Planning Bike Lanes based on Sharing-Bikes' Trajectories (2017)Stochastic Simulation (1987)Infrastructure, programs, and policies to increase bicycling: An international review (2009)A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems (2019)A spatiotemporal and graph-based analysis of dockless bike sharing patterns to understand urban flows over the last mile (2019)Using graph structural information about flows to enhance short-term demand prediction in bike-sharing systems (2020)Bicycling renaissance in North America? An update and re-appraisal of cycling trends and policies (2011)Bike Share: A Synthesis of the Literature (2013)Data envelopment analysis: The evolution of the state of the art (1978?1995) (1996)Promoting Cycling for Transport: Research Needs and Challenges (2014)Virtual Work: Bridging Research Clusters (2018)
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References

  • 2008Automatic Time Series Forecasting: The forecast Package for R3,538 cited
  • 2010Limits of Predictability in Human Mobility3,230 cited
  • 2009Transportation Research Part A: Policy and Practice2,167 cited
  • 2010Bikesharing in Europe, the Americas, and Asia1,149 cited
  • 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
  • 2013Approaching the Limit of Predictability in Human Mobility381 cited
  • 2015Traffic prediction in a bike-sharing system361 cited
  • 2012Better Understanding of Factors Influencing Likelihood of Using Shared Bicycle Systems and Frequency of Use342 cited
  • 2016Dynamic cluster-based over-demand prediction in bike sharing systems204 cited
  • 2016Mobility Modeling and Prediction in Bike-Sharing Systems190 cited
  • 2015Understanding Spatiotemporal Patterns of Biking Behavior by Analyzing Massive Bike Sharing Data in Chicago176 cited
  • 2008Forecasting Crime Using the ARIMA Model164 cited
  • 2014Proactive vehicle routing with inferred demand to solve the bikesharing rebalancing problem148 cited
  • 2017Exploring Bikesharing Travel Patterns and Trip Purposes Using Smart Card Data and Online Point of Interests

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142 cited
  • 2019Quantifying greenhouse gas emissions reduction from bike share systems: a model considering real-world trips and transportation mode choice patterns137 cited
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