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Cityride: A Predictive Bike Sharing Journey Advisor
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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.trd.2010.07.002openalex-snapshot
Characterizing the speed and paths of shared bicycle use in Lyon
inferredcites →https://doi.org/10.1016/j.tre.2010.09.004openalex-snapshot
Strategic design of public bicycle sharing systems with service level constraints
inferredcites →https://doi.org/10.1109/itsc.2011.6082962openalex-snapshot
Towards building an uncertainty-aware personal journey planner
inferredcites →https://doi.org/10.1109/itsc.2011.6082982openalex-snapshot
System and analytics for continuously assessing transport systems from sparse and noisy observations: Case study in Dublin
inferredcites →https://doi.org/10.1109/mprv.2011.41openalex-snapshot
Estimating Origin-Destination Flows Using Mobile Phone Location Data
inferredcites →https://doi.org/10.1142/s0219525911002950openalex-snapshot
SHARED BICYCLES IN A CITY: A SIGNAL PROCESSING AND DATA ANALYSIS PERSPECTIVE
inferredcites →https://doi.org/10.1287/trsc.1100.0347openalex-snapshot
Fleet Management for Vehicle Sharing Operations
inferredcites →https://doi.org/10.3141/2143-15openalex-snapshot
Defining a Primary Market and Estimating Demand for Major Bicycle-Sharing Program in Philadelphia, Pennsylvania
inferredcites →https://doi.org/10.3141/2143-20openalex-snapshot
Bikesharing in Europe, the Americas, and Asia
inferredcites →https://doi.org/10.5038/2375-0901.12.4.3openalex-snapshot
Bike-sharing: History, Impacts, Models of Provision, and Future
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Predicting Short-Term Bike-Sharing Demand at Station Level: A Deep Graph-Based Multi-Task Spatiotemporal Approach
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Station Status Forecasting Module for a Multi-agent Proposal to Improve Efficiency on Bike-Sharing Usage
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A Multiple Factor Bike Usage Prediction Model in Bike-Sharing System
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FGST: Fine-Grained Spatial-Temporal Based Regression for Stationless Bike Traffic Prediction
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Spatial Community-Informed Evolving Graphs for Demand Prediction
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An AI Approach to Rebalance Bike-Sharing Systems with Adaptive User Incentive
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Forecasting Bike Sharing Demand Using Fuzzy Inference Mechanism
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Public Bicycle Prediction Based on Generalized Regression Neural Network
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Bike-Sharing Prediction System
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Moment-Based Probabilistic Prediction of Bike Availability for Bike-Sharing Systems
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A Multi-agent Proposal for Efficient Bike-Sharing Usage
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Journey Data Based Arrival Forecasting for Bicycle Hire Schemes
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Predicting critical conditions in bicycle sharing systems
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Probabilistic spatio-temporal resource search
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Demand Prediction and Optimal Allocation of Shared Bikes Around Urban Rail Transit Stations
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Investigating the temporal differences among bike-sharing users through comparative analysis based on count, time series, and data mining models
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An improved general variable neighborhood search for a static bike-sharing rebalancing problem considering the depot inventory
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An experience in using machine learning for short-term predictions in smart transportation systems
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A vehicle for valorising the labour power of commuting: The politics of mobility fixing in Shanghai's Dockless Public Bike Sharing Sector
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Hierarchical prediction based on two-level Gaussian mixture model clustering for bike-sharing system
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Moment-based availability prediction for bike-sharing systems
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Large-scale trip planning for bike-sharing systems
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Intelligent management of bike sharing in smart cities using machine learning and Internet of Things
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Real-time prediction of public bike sharing system demand using generalized extreme value count model
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Relocating operational and damaged bikes in free-floating systems: A data-driven modeling framework for level of service enhancement
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Multilevel graph neural networks for bikeshare demand modeling using station and route features
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Predicting station level demand in a bike‐sharing system using recurrent neural networks
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Network and station-level bike-sharing system prediction: a San Francisco bay area case study
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Dynamic linear models to predict bike availability in a bike sharing system
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A Multi-Categorical Probabilistic Approach for Short-Term Bike Sharing Usage Prediction
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Station Importance Evaluation in Dynamic Bike-Sharing Rebalancing Optimization Using an Entropy-Based TOPSIS Approach
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AdaBoost.RDT: AdaBoost Integrated With Residual-Based Decision Tree for Demand Prediction of Bike Sharing Systems Under Extreme Demands
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Demand Estimation of Public Bike-Sharing System Based on Temporal and Spatial Correlation
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Context Aware Flow Prediction of Bike Sharing Systems
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Place Representation Based Bike Demand Prediction
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A Quantum Bayesian Approach for Bike Sharing Demand Prediction
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Predicting bikeshare system usage up to one day ahead
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Public Bicycle Flow Forecasting using Spatial and Temporal Graph Neural Network
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Optimizing the Crowdsourcing-based Bike Station Rebalancing Scheme
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Public Bicycle Demand Forecast Based on PCA-BA-GRNN Model
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Bike Usage Forecasting for Optimal Rebalancing Operations in Bike-Sharing Systems
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Distributed Trip Selection Game for Public Bike System with Crowdsourcing
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Real-time usage forecasting for bike-sharing systems: A study on random forest and convolutional neural network applicability
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A Novel Travel Adviser Based on Improved Back-Propagation Neural Network
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Uncertainty in urban mobility: Predicting waiting times for shared bicycles and parking lots
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Short-term Prediction of Bike-sharing Usage Considering Public Transport: A LSTM Approach
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Incremental Learning Models of Bike Counts at Bike Sharing Systems
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Deep Information Fusion for Electric Vehicle Charging Station Occupancy Forecasting
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Bike Sharing Demand Prediction based on Knowledge Sharing across Modes: A Graph-based Deep Learning Approach
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A Hybrid Machine Learning Model for Demand Prediction of Edge-Computing-Based Bike-Sharing System Using Internet of Things
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Learning Shared Mobility-Aware Knowledge for Multiple Urban Travel Demands
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Large-Scale Trip Planning for Bike-Sharing Systems
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Online Trip Planning for Public Bike Systems
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Hybrid Bicycle Allocation for Usage Load Balancing and Lifetime Optimization in Bike-Sharing Systems
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Optimizing Rebalance Scheme for Dock-Less Bike Sharing Systems with Adaptive User Incentive
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RESGCN: RESidual Graph Convolutional Network based Free Dock Prediction in Bike Sharing System
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Analysis and Prediction of Bikesharing Traffic Flow – Citi Bike, New York
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Modeling and Predicting Bike Demand in Large City Situations
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Long Term Time Series Prediction of Bike Sharing Trips: A Cast Study of Budapest City
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Improving the Station-Level Demand Prediction by Using Feature Engineering in Bike Sharing Systems
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An Effective Data Driven Approach to Predict Bike Rental Demand
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Spatial Contiguity-Constrained Hierarchical Clustering for Traffic Prediction in Bike Sharing Systems
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A Real-Time Bike Trip Planning Policy With Self-Organizing Bike Redistribution
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Cross-Mode Knowledge Adaptation for Bike Sharing Demand Prediction Using Domain-Adversarial Graph Neural Networks
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Bike-Sharing Demand Prediction Based on Dynamic Time Warping and Spatio-Temporal Graph Attention Network
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An XGBoost-Based Three-Stage Prediction Approach for True User Demand of Bike-Sharing Systems Based on Spatio-Temporal Analysis
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Citywide Bike Usage Prediction in a Bike-Sharing System
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Locally Balanced Inductive Matrix Completion for Demand-Supply Inference in Stationless Bike-Sharing Systems
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Centralized Routing for Bike-sharing Systems
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eShare+: A Data-Driven Balancing Mechanism for Bike Sharing Systems Considering Both Quality of Service and Maintenance
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Spatial-Temporal Inventory Rebalancing for Bike Sharing Systems With Worker Recruitment
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A reliable traffic prediction approach for bike‐sharing system by exploiting rich information with temporal link prediction strategy
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Graph Neural Network-Based Design Decision Support for Shared Mobility Systems
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Integrative urban AI to expand coverage, access, and equity of urban data
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Probabilistic Forecasts of Bike-Sharing Systems for Journey Planning
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Traffic prediction in a bike-sharing system
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Mobility Modeling and Prediction in Bike-Sharing Systems
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Dynamic cluster-based over-demand prediction in bike sharing systems
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Towards Station-Level Demand Prediction for Effective Rebalancing in Bike-Sharing Systems
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Towards Efficient Sharing: A Usage Balancing Mechanism for Bike Sharing Systems
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Probing the Performance of the Edinburgh Bike Sharing System using SSTL
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A Destination Prediction Network Based on Spatiotemporal Data for Bike‐Sharing
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Short‐Term IoT Data Forecast of Urban Public Bicycle Based on the DBSCAN‐TCN Model for Social Governance
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Mobilising the dispositive: Exploring the role of dockless public bike sharing in transforming urban governance in Shanghai
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Enhancing the Accuracy of Peak Hourly Demand in Bike-Sharing Systems using a Graph Convolutional Network with Public Transit Usage Data
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The periodicity and initial evolution of micro-mobility systems: a case study of the docked bike-sharing system in New York City, USA
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Multi-Source Large Scale Bike Demand Prediction
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Excess demand prediction for bike sharing systems
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Marked Temporal Point Processes for Trip Demand Prediction in Bike Sharing Systems
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Forecasting traffic flows in irregular regions with multi-graph convolutional network and gated recurrent unit
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Predicting bike-sharing demand using light gradient boosting machine and Shapley additive explanations values: a cross-regional generalisability study
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Long-Term Prediction of Bikes Availability on Bike-Sharing Stations
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The Impact of Machine Learning Forecasting On Strategic Decision-Making for Bike Sharing Systems
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A capacitated bike sharing location-allocation problem under demand uncertainty using sample average approximation: A greedy Genetic-Particle Swarm Optimization algorithm
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Multi-Source Data-Driven Local-Global Dynamic Multi-Graph Convolutional Network for Bike-Sharing Demands Prediction
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Smart Recommendations for Renting Bikes in Bike-Sharing Systems
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Short-Term Prediction of Bike-Sharing Demand Using Multi-Source Data: A Spatial-Temporal Graph Attentional LSTM Approach
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Towards a Persuasive Recommender for Bike Sharing Systems: A Defeasible Argumentation Approach
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A Rebalancing Strategy for the Imbalance Problem in Bike-Sharing Systems
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Machine Learning Models for Bike-Sharing Demand Forecasting
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The Governance Challenge within Socio-Technical Transition Processes: Public Bicycles and Smartphone-Based Bicycles in Guangzhou, China
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A Model-Data Dual-Driven Approach for Predicting Shared Bike Flow near Metro Stations
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A crowdsourced dynamic repositioning strategy for public bike sharing systems
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Strategies for Automated Bike-Sharing Systems Leveraging ML and VLSI Approaches
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Prediction of Bike Share Demand by Machine Learning
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Understanding and Visualizing the District of Columbia Capital Bikeshare System Using Data Analysis for Balancing Purposes
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FairST: Equitable Spatial and Temporal Demand Prediction for New Mobility Systems
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Big data-driven optimization in transportation and communication networks
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A Modular Approach to Compare Optimization Methods for Bike Sharing Systems
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A bike-sharing demand prediction model based on Spatio-Temporal Graph Convolutional Networks
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