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Multi-Agent System for Demand Prediction and Trip Visualization in Bike Sharing Systems
8 references·16 citing·40 second hop
Multi-Agent System for Demand Prediction and Trip Visualization in Bike Sharing Systems (2018)Multi-Agent System for Demand Prediction …Cycling towards a more sustainable transport future (2017)Cycling towards a more sustai…Comparative Assessment of Public Bike Sharing Systems (2016)Comparative Assessment of Pub…Bike sharing: A review of evidence on impacts and processes of implementation and operation (2015)Bike sharing: A review of evi…Predicting bikeshare system usage up to one day ahead (2014)Predicting bikeshare system u…Understanding Bike-Sharing Systems using Data Mining: Exploring Activity Patterns (2011)Understanding Bike-Sharing Sy…Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system (2010)Urban cycles and mobility pat…Bikesharing in Europe, the Americas, and Asia (2010)Bikesharing in Europe, the Am…Measuring the Pulse of the City through Shared Bicycle Programs (2008)Measuring the Pulse of the Ci…On the simultaneous computation of target inventories and intervals for bimodal bike-sharing systems (2024)On the simultaneous computati…Features that influence bike sharing demand (2024)Features that influence bike …Dynamic rebalancing for Bike-sharing systems under inventory interval and target predictions (2024)Dynamic rebalancing for Bike-…Are We Back to Normal? A Bike Sharing Systems Mobility Analysis in the Post-COVID-19 Era (2024)Are We Back to Normal? A Bike…Scalability evaluation of forecasting methods applied to bicycle sharing systems (2023)Scalability evaluation of for…Developing a supervised learning-based simulation method as a decision support tool for rebalancing problems in bike-sharing systems (2023)Developing a supervised learn…Predicting hourly origin–destination demand in bike sharing systems using hurdle models: Lisbon case study (2021)Predicting hourly origin–dest…Context-aware demand prediction in bike sharing systems: incorporating spatial, meteorological and calendrical context (2021)Context-aware demand predicti…Can user data improve Bike Sharing Systems demand forecasting? (2021)Can user data improve Bike Sh…Machine Learning Approach to Quantity Management for Long-Term Sustainable Development of Dockless Public Bike: Case of Shenzhen in China (2020)Machine Learning Approach to …Improving Sustainable Mobility with a Variable Incentive Model for Bike-Sharing Systems Based on Agent-Based Social Simulation (2020)Improving Sustainable Mobilit…Short-term demand forecasting for bike sharing system based on machine learning (2019)Short-term demand forecasting…Predictive Modeling for Optimization of Field Operations in Bike-Sharing Systems (2019)Predictive Modeling for Optim…A Multi-Categorical Probabilistic Approach for Short-Term Bike Sharing Usage Prediction (2019)A Multi-Categorical Probabili…Dynamic bicycle scheduling problem based on short-term demand prediction (2018)Dynamic bicycle scheduling pr…Characterizing Situations of Dock Overload in Bicycle Sharing Stations (2018)Characterizing Situations of …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)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Bikesharing, equity, and disadvantaged communities: A case study in Chicago (2020)Mobile phone data in urban bicycle-sharing: Market-oriented sub-area division and spatial analysis on emission reduction potentials (2020)Multi-task supply-demand prediction and reliability analysis for docked bike-sharing systems via transformer-encoder-based neural processes (2023)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)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Digital Footprinting: Uncovering Tourists with User-Generated Content (2008)Identifying Urban Functional Zones Using Public Bicycle Rental Records and Point-of-Interest Data (2018)Understanding intra-urban human mobility through an exploratory spatiotemporal analysis of bike-sharing trajectories (2020)Intelligent management of bike sharing in smart cities using machine learning and Internet of Things (2021)Making Cycling Irresistible: Lessons from The Netherlands, Denmark and Germany (2008)Bicycling renaissance in North America? An update and re-appraisal of cycling trends and policies (2011)Bikeshare: A Review of Recent Literature (2015)The Social Cost of Automobility, Cycling and Walking in the European Union (2019)The climate change mitigation impacts of active travel: Evidence from a longitudinal panel study in seven European cities (2021)Demand, Services and Social Aspects of Mitigation (2023)Traffic prediction in a bike-sharing system (2015)Dynamic cluster-based over-demand prediction in bike sharing systems (2016)Mobility Modeling and Prediction in Bike-Sharing Systems (2016)Generating efficient rebalancing routes for bikeshare programs using a genetic algorithm (2019)Station Importance Evaluation in Dynamic Bike-Sharing Rebalancing Optimization Using an Entropy-Based TOPSIS Approach (2021)An Intelligent Rebalance System for Tidal Phenomenon of Dockless Bicycle-Sharing (2023)Sensing and predicting the pulse of the city through shared bicycling (2009)Mobility prediction for uneven distribution of bikes in bike sharing systems (2022)Interpretable Machine Learning for Intelligent Transportation in Bike-Sharing (2023)Modelling the potential effect of shared bicycles on public transport travel times in Greater Helsinki: An open data approach (2013)Exploring the impact of built environment factors on the use of public bikes at bike stations: Case study in Zhongshan, China (2016)A modeling framework for the dynamic management of free-floating bike-sharing systems (2018)Using a hybrid method for evaluating and improving the service quality of public bike-sharing systems (2018)Bicycle Sharing: Sustainable Value Creation and Institutionalisation Strategies in Barcelona (2019)Why do companies’ institutional strategies differ across cities? A cross-case analysis of bike sharing in Shanghai & Amsterdam (2020)
this work references cited by second hop

References

  • 2010Bikesharing in Europe, the Americas, and Asia1,149 cited
  • 2015Bike sharing: A review of evidence on impacts and processes of implementation and operation471 cited
  • 2017Cycling towards a more sustainable transport future454 cited
  • 2010Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system446 cited
  • 2011Understanding Bike-Sharing Systems using Data Mining: Exploring Activity Patterns307 cited
  • 2008Measuring the Pulse of the City through Shared Bicycle Programs90 cited
  • 2014Predicting bikeshare system usage up to one day ahead71 cited
  • 2016Comparative Assessment of Public Bike Sharing Systems50 cited

Cited by

  • 2018Dynamic bicycle scheduling problem based on short-term demand prediction18 cited
  • 2019A Multi-Categorical Probabilistic Approach for Short-Term Bike Sharing Usage Prediction18 cited
  • 2023Developing a supervised learning-based simulation method as a decision support tool for rebalancing problems in bike-sharing systems14 cited
  • 2021Predicting hourly origin–destination demand in bike sharing systems using hurdle models: Lisbon case study12 cited
  • 2024Features that influence bike sharing demand7 cited
  • 2020Machine Learning Approach to Quantity Management for Long-Term Sustainable Development of Dockless Public Bike: Case of Shenzhen in China

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7 cited
  • 2024Are We Back to Normal? A Bike Sharing Systems Mobility Analysis in the Post-COVID-19 Era6 cited
  • 2019Short-term demand forecasting for bike sharing system based on machine learning6 cited
  • 2018Characterizing Situations of Dock Overload in Bicycle Sharing Stations6 cited
  • 2024On the simultaneous computation of target inventories and intervals for bimodal bike-sharing systems5 cited
  • 2023Scalability evaluation of forecasting methods applied to bicycle sharing systems5 cited
  • 2021Context-aware demand prediction in bike sharing systems: incorporating spatial, meteorological and calendrical context5 cited
  • 2019Predictive Modeling for Optimization of Field Operations in Bike-Sharing Systems4 cited
  • 2020Improving Sustainable Mobility with a Variable Incentive Model for Bike-Sharing Systems Based on Agent-Based Social Simulation4 cited
  • 2021Can user data improve Bike Sharing Systems demand forecasting?4 cited
  • 2024Dynamic rebalancing for Bike-sharing systems under inventory interval and target predictions3 cited