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The Impact of Machine Learning Forecasting On Strategic Decision-Making for Bike Sharing Systems

https://doi.org/10.2139/ssrn.5066640
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inferredcites →https://doi.org/10.1007/s10489-021-02586-xopenalex-snapshot
Monte carlo tree search for dynamic bike repositioning in bike-sharing systems
inferredcites →https://doi.org/10.1007/s13676-012-0017-6openalex-snapshot
Static repositioning in a bike-sharing system: models and solution approaches
inferredcites →https://doi.org/10.1016/j.cie.2022.108489openalex-snapshot
A simulation framework for a station-based bike-sharing system
inferredcites →https://doi.org/10.1016/j.ejor.2018.02.053openalex-snapshot
Inventory rebalancing through pricing in public bike sharing systems
inferredcites →https://doi.org/10.1016/j.knosys.2019.04.020openalex-snapshot
Hierarchical prediction based on two-level Gaussian mixture model clustering for bike-sharing system
inferredcites →https://doi.org/10.1016/j.omega.2015.09.007openalex-snapshot
Optimizing the level of service quality of a bike-sharing system
inferredcites →https://doi.org/10.1016/j.pmcj.2010.07.002openalex-snapshot
Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system
inferredcites →https://doi.org/10.1016/j.procs.2019.01.217openalex-snapshot
Predicting bike sharing demand using recurrent neural networks
inferredcites →https://doi.org/10.1016/j.procs.2019.08.055openalex-snapshot
Multi Features and Multi-time steps LSTM Based Methodology for Bike Sharing Availability Prediction
inferredcites →https://doi.org/10.1016/j.tra.2020.02.001openalex-snapshot
Real-time prediction of public bike sharing system demand using generalized extreme value count model
inferredcites →https://doi.org/10.1016/j.trc.2020.102648openalex-snapshot
A review of bicycle-sharing service planning problems
inferredcites →https://doi.org/10.1016/j.trc.2022.103571openalex-snapshot
Predictive and prescriptive performance of bike-sharing demand forecasts for inventory management
inferredcites →https://doi.org/10.1016/j.trc.2022.103984openalex-snapshot
Improving short-term bike sharing demand forecast through an irregular convolutional neural network
inferredcites →https://doi.org/10.1016/j.trd.2020.102647openalex-snapshot
Dynamic bike sharing traffic prediction using spatiotemporal pattern detection
inferredcites →https://doi.org/10.1016/j.tre.2014.10.005openalex-snapshot
Proactive vehicle routing with inferred demand to solve the bikesharing rebalancing problem
inferredcites →https://doi.org/10.1016/j.trpro.2018.11.029openalex-snapshot
Short-term prediction for bike-sharing service using machine learning
inferredcites →https://doi.org/10.1080/15568318.2019.1611976openalex-snapshot
Dynamic linear models to predict bike availability in a bike sharing system
inferredcites →https://doi.org/10.1109/access.2019.2923766openalex-snapshot
A Multi-Categorical Probabilistic Approach for Short-Term Bike Sharing Usage Prediction
inferredcites →https://doi.org/10.1109/bigdata.2018.8621918openalex-snapshot
Context Aware Flow Prediction of Bike Sharing Systems
inferredcites →https://doi.org/10.1109/bigdata47090.2019.9005986openalex-snapshot
Practical End-to-End Repositioning Algorithm for Managing Bike-Sharing System
inferredcites →https://doi.org/10.1109/compsac.2018.10213openalex-snapshot
A Deep Learning Approach for Estimating Inventory Rebalancing Demand in Bicycle Sharing Systems
inferredcites →https://doi.org/10.1109/itsc.2018.8569726openalex-snapshot
Short-term Prediction of Bike-sharing Usage Considering Public Transport: A LSTM Approach
inferredcites →https://doi.org/10.1109/mdm.2012.16openalex-snapshot
Cityride: A Predictive Bike Sharing Journey Advisor
inferredcites →https://doi.org/10.1109/percom.2018.8444588openalex-snapshot
Modeling and Predicting Bike Demand in Large City Situations
inferredcites →https://doi.org/10.1109/tits.2021.3097240openalex-snapshot
Short-Term Forecast of Bicycle Usage in Bike Sharing Systems: A Spatial-Temporal Memory Network
inferredcites →https://doi.org/10.1111/tgis.12560openalex-snapshot
A reliable traffic prediction approach for bike‐sharing system by exploiting rich information with temporal link prediction strategy
inferredcites →https://doi.org/10.1145/2820783.2820837openalex-snapshot
Traffic prediction in a bike-sharing system
inferredcites →https://doi.org/10.1145/2906388.2906408openalex-snapshot
Mobility Modeling and Prediction in Bike-Sharing Systems
inferredcites →https://doi.org/10.1145/3356995.3364543openalex-snapshot
Bike-Share Demand Prediction using Attention based Sequence to Sequence and Conditional Variational AutoEncoder
inferredcites →https://doi.org/10.1155/2018/8028714openalex-snapshot
A Markov Chain Based Demand Prediction Model for Stations in Bike Sharing Systems
inferredcites →https://doi.org/10.1177/0361198120912232openalex-snapshot
Optimal Relocation Strategy for Public Bike System with Selective Pick-Up and Delivery
inferredcites →https://doi.org/10.1371/journal.pone.0220782openalex-snapshot
Graph convolutional network approach applied to predict hourly bike-sharing demands considering spatial, temporal, and global effects
inferredcites →https://doi.org/10.1609/aaai.v29i1.9245openalex-snapshot
Data Analysis and Optimization for (Citi)Bike Sharing
inferredcites →https://doi.org/10.1613/jair.5308openalex-snapshot
Dynamic Repositioning to Reduce Lost Demand in Bike Sharing Systems
inferredcites →https://doi.org/10.1680/jmuen.20.00001openalex-snapshot
Predicting demand for a bike-sharing system with station activity based on random forest
inferredcites →https://doi.org/10.2139/ssrn.4032616openalex-snapshot
Improving Short-Term Bike Sharing Demand Forecast Through an Irregular Convolutional Neural Network
inferredcites →https://doi.org/10.3141/2387-06openalex-snapshot
Station-Level Forecasting of Bikesharing Ridership
inferredcites →https://doi.org/10.3141/2430-01openalex-snapshot
Modeling Demand for Bikesharing Systems
inferredcites →https://doi.org/10.3390/s22155580openalex-snapshot
A Demand-Centric Repositioning Strategy for Bike-Sharing Systems
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