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A holistic approach for modeling and predicting bike demand
16 references·0 citing·40 second hop
A holistic approach for modeling and predicting bike demand (2022)A holistic approach for modeling and pred…Improving Customer Satisfaction in Bike Sharing Systems through Dynamic Repositioning (2019)Improving Customer Satisfacti…Modeling and Predicting Bike Demand in Large City Situations (2018)Modeling and Predicting Bike …A Dynamic Approach to Rebalancing Bike-Sharing Systems (2018)A Dynamic Approach to Rebalan…Modeling bike availability in a bike-sharing system using machine learning (2017)Modeling bike availability in…Lessons Learnt from the analysis of a bike sharing system (2017)Lessons Learnt from the analy…Robust repositioning to counter unpredictable demand in bike sharing systems (2016)Robust repositioning to count…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…Bicycle-Sharing System Analysis and Trip Prediction (2016)Bicycle-Sharing System Analys…An Internet-of-Things Enabled Connected Navigation System for Urban Bus Riders (2016)An Internet-of-Things Enabled…Traffic prediction in a bike-sharing system (2015)Traffic prediction in a bike-…Station Site Optimization in Bike Sharing Systems (2015)Station Site Optimization in …Optimizing the level of service quality of a bike-sharing system (2015)Optimizing the level of servi…Citi Bike: The First Two Years (2015)Citi Bike: The First Two YearsOptimizing the location of stations in bike-sharing programs: A GIS approach (2012)Optimizing the location of st…Cityride: A Predictive Bike Sharing Journey Advisor (2012)Cityride: A Predictive Bike S…Optimum Locations of Switching Centers and the Absolute Centers and Medians of a Graph (1964)The Location of Emergency Service Facilities (1971)THE MAXIMAL COVERING LOCATION PROBLEM (1974)Bike sharing: A review of evidence on impacts and processes of implementation and operation (2015)Modeling Bike Share Station Activity: Effects of Nearby Businesses and Jobs on Trips to and from Stations (2015)A review on bike-sharing: The factors affecting bike-sharing demand (2019)Bike-sharing: History, Impacts, Models of Provision, and Future (2009)Bikesharing in Europe, the Americas, and Asia (2010)Estimating Origin-Destination Flows Using Mobile Phone Location Data (2011)Dynamic Bike Reposition (2018)Towards Station-Level Demand Prediction for Effective Rebalancing in Bike-Sharing Systems (2018)Citywide Bike Usage Prediction in a Bike-Sharing System (2019)Infrastructure, programs, and policies to increase bicycling: An international review (2009)Learning Urban Community Structures (2018)Fuzzy-based GIS approach with new MCDM method for bike-sharing station site selection according to land-use types (2021)Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system (2010)Planning Bike Lanes based on Sharing-Bikes' Trajectories (2017)What drives car use? A grounded theory analysis of commuters’ reasons for driving (2006)Learning and inferring transportation routines (2007)Transit network design and scheduling: A global review (2008)MAC (2019)Route guidance ranking procedures with human perception consideration for personalized public transport service (2020)Sensing Technologies for Crowd Management, Adaptation, and Information Dissemination in Public Transportation Systems: A Review (2022)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)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)The Markov-modulated Poisson process (MMPP) cookbook (1993)The rebalancing of bike-sharing system under flow-type task window (2020)Green travel mobility of dockless bike-sharing based on trip data in big cities: A spatial network analysis (2021)Power-law distributions in empirical data (2018)Hierarchical prediction based on two-level Gaussian mixture model clustering for bike-sharing system (2019)An Attention-Based Deep Learning Framework for Trip Destination Prediction of Sharing Bike (2020)Predicting station level demand in a bike‐sharing system using recurrent neural networks (2020)Rebalancing Bike Sharing Systems (2016)Quantifying greenhouse gas emissions reduction from bike share systems: a model considering real-world trips and transportation mode choice patterns (2019)A review of bicycle-sharing service planning problems (2020)
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References

  • 2012Optimizing the location of stations in bike-sharing programs: A GIS approach436 cited
  • 2015Traffic prediction in a bike-sharing system361 cited
  • 2015Optimizing the level of service quality of a bike-sharing system218 cited
  • 2016Dynamic cluster-based over-demand prediction in bike sharing systems204 cited
  • 2016Mobility Modeling and Prediction in Bike-Sharing Systems190 cited
  • 2018A Dynamic Approach to Rebalancing Bike-Sharing Systems147 cited
  • 2016An Internet-of-Things Enabled Connected Navigation System for Urban Bus Riders129 cited
  • 2015Station Site Optimization in Bike Sharing Systems124 cited
  • 2012Cityride: A Predictive Bike Sharing Journey Advisor121 cited
  • 2016Bicycle-Sharing System Analysis and Trip Prediction84 cited
  • 2017Modeling bike availability in a bike-sharing system using machine learning68 cited
  • 2016Robust repositioning to counter unpredictable demand in bike sharing systems45 cited
  • 2019Improving Customer Satisfaction in Bike Sharing Systems through Dynamic Repositioning23 cited
  • 2018Modeling and Predicting Bike Demand in Large City Situations22 cited
  • 2015Citi Bike: The First Two Years22 cited

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  • 2017Lessons Learnt from the analysis of a bike sharing system6 cited
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