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Towards Efficient Sharing: A Usage Balancing Mechanism for Bike Sharing Systems
16 references·6 citing·40 second hop
Towards Efficient Sharing: A Usage Balancing Mechanism for Bike Sharing Systems (2019)Towards Efficient Sharing: A Usage Balanc…The Sharing Economy in Computing (2017)The Sharing Economy in Comput…Analyzing Uber's Ride-sharing Economy (2017)Analyzing Uber's Ride-sharing…Who Benefits from the "Sharing" Economy of Airbnb? (2016)Who Benefits from the "Sharin…Rebalancing Bike Sharing Systems (2016)Rebalancing Bike Sharing Syst…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…Traffic prediction in a bike-sharing system (2015)Traffic prediction in a bike-…Bike sharing station placement leveraging heterogeneous urban open data (2015)Bike sharing station placemen…Public Bikesharing in North America during a Period of Rapid Expansion: Understanding Business Models, Industry Trends, and User Impacts (2014)Public Bikesharing in North A…Model-Based Count Series Clustering for Bike Sharing System Usage Mining: A Case Study with the Vélib’ System of Paris (2014)Model-Based Count Series Clus…Measuring the impact of opening the London shared bicycle scheme to casual users (2012)Measuring the impact of openi…Large-Scale Vehicle Sharing Systems: Analysis of Vélib' (2012)Large-Scale Vehicle Sharing S…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…Bike-sharing: History, Impacts, Models of Provision, and Future (2009)Bike-sharing: History, Impact…Estimating and modeling spontaneous mobility changes during the COVID-19 pandemic without stay-at-home orders (2024)Estimating and modeling spont…eShare+: A Data-Driven Balancing Mechanism for Bike Sharing Systems Considering Both Quality of Service and Maintenance (2023)eShare+: A Data-Driven Balanc…Mobility prediction for uneven distribution of bikes in bike sharing systems (2022)Mobility prediction for uneve…: Mobility-Driven Integration of Heterogeneous Urban Cyber-Physical Systems Under Disruptive Events (2021): Mobility-Driven Integration…Mobile Cyber-Physical Systems for Smart Cities (2020)Mobile Cyber-Physical Systems…Information Fusion for (Re)Configuring Bike Station Networks With Crowdsourcing (2020)Information Fusion for (Re)Co…Making Cycling Irresistible: Lessons from The Netherlands, Denmark and Germany (2008)Discovering regions of different functions in a city using human mobility and POIs (2012)Big Data and Cycling (2015)Understanding Spatiotemporal Patterns of Biking Behavior by Analyzing Massive Bike Sharing Data in Chicago (2015)Understanding the impacts of a public transit disruption on bicycle sharing mobility patterns: A case of Tube strike in London (2017)Bikesharing in Europe, the Americas, and Asia (2010)Incentives and redistribution in homogeneous bike-sharing systems with stations of finite capacity (2014)Exploring the impact of built environment factors on the use of public bikes at bike stations: Case study in Zhongshan, China (2016)Sharing riders: How bikesharing impacts bus ridership in New York City (2017)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)A review on bike-sharing: The factors affecting bike-sharing demand (2019)Spatial Autocorrelation: Trouble or New Paradigm? (1993)Bowling alone: the collapse and revival of American community (2000)Happiness: Lessons from a New Science (2005)Consumer valuation of Airbnb listings: a hedonic pricing approach (2017)The “sharing” economy: labor, inequality, and social connection on for‐profit platforms (2017)Platform economies and urban planning: Airbnb and regulated deregulation in London (2018)Optimizing the location of stations in bike-sharing programs: A GIS approach (2012)Dynamic Bike Reposition (2018)Citywide Bike Usage Prediction in a Bike-Sharing System (2019)A Hybrid Machine Learning Model for Demand Prediction of Edge-Computing-Based Bike-Sharing System Using Internet of Things (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)Stochastic Simulation (1987)Infrastructure, programs, and policies to increase bicycling: An international review (2009)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)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)Modelling the potential effect of shared bicycles on public transport travel times in Greater Helsinki: An open data approach (2013)Bicycling renaissance in North America? An update and re-appraisal of cycling trends and policies (2011)Bikeshare: A Review of Recent Literature (2015)Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto (2015)Planning Bike Lanes based on Sharing-Bikes' Trajectories (2017)
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References

  • 2009Bike-sharing: History, Impacts, Models of Provision, and Future1,070 cited
  • 2010Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system446 cited
  • 2015Traffic prediction in a bike-sharing system361 cited
  • 2009Sensing and predicting the pulse of the city through shared bicycling307 cited
  • 2012Large-Scale Vehicle Sharing Systems: Analysis of Vélib'291 cited
  • 2016Who Benefits from the "Sharing" Economy of Airbnb?275 cited
  • 2016Dynamic cluster-based over-demand prediction in bike sharing systems204 cited
  • 2016Rebalancing Bike Sharing Systems194 cited
  • 2016Mobility Modeling and Prediction in Bike-Sharing Systems190 cited
  • 2014Model-Based Count Series Clustering for Bike Sharing System Usage Mining: A Case Study with the Vélib’ System of Paris182 cited
  • 2012Measuring the impact of opening the London shared bicycle scheme to casual users176 cited
  • 2017The Sharing Economy in Computing130 cited
  • 2015Bike sharing station placement leveraging heterogeneous urban open data125 cited
  • 2017Analyzing Uber's Ride-sharing Economy124 cited
  • 2012Cityride: A Predictive Bike Sharing Journey Advisor

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121 cited
  • 2014Public Bikesharing in North America during a Period of Rapid Expansion: Understanding Business Models, Industry Trends, and User Impacts102 cited
  • Cited by

    • 2021: Mobility-Driven Integration of Heterogeneous Urban Cyber-Physical Systems Under Disruptive Events12 cited
    • 2024Estimating and modeling spontaneous mobility changes during the COVID-19 pandemic without stay-at-home orders11 cited
    • 2022Mobility prediction for uneven distribution of bikes in bike sharing systems9 cited
    • 2020Information Fusion for (Re)Configuring Bike Station Networks With Crowdsourcing8 cited
    • 2023eShare+: A Data-Driven Balancing Mechanism for Bike Sharing Systems Considering Both Quality of Service and Maintenance4 cited
    • 2020Mobile Cyber-Physical Systems for Smart Cities3 cited