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Modeling Demand for Bikesharing Systems
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/13676.2192-4384openalex-snapshot
EURO Journal on Transportation and Logistics
inferredcites →https://doi.org/10.1007/978-3-642-37198-1_11openalex-snapshot
Balancing Bicycle Sharing Systems: A Variable Neighborhood Search Approach
inferredcites →https://doi.org/10.1007/978-3-642-38516-2_16openalex-snapshot
A Hybrid ACO+CP for Balancing Bicycle Sharing Systems
inferredcites →https://doi.org/10.1007/s00704-006-0280-2openalex-snapshot
A new concept for high resolution temperature analysis over complex terrain
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/10.1007/s13676-014-0053-5openalex-snapshot
Incentives and redistribution in homogeneous bike-sharing systems with stations of finite capacity
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/10.1017/cbo9780511814365openalex-snapshot
Regression Analysis of Count Data
inferredcites →https://doi.org/10.1017/cbo9781139013567openalex-snapshot
Regression Analysis of Count Data
inferredcites →https://doi.org/10.1109/tits.2014.2303986openalex-snapshot
Dynamic Vehicle Redistribution and Online Price Incentives in Shared Mobility Systems
inferredcites →https://doi.org/10.1111/j.1467-9574.2007.00371.xopenalex-snapshot
Generalized M‐fluctuation tests for parameter instability
inferredcites →https://doi.org/10.18637/jss.v007.i02openalex-snapshot
strucchange : An R Package for Testing for Structural Change in Linear Regression Models
inferredcites →https://doi.org/10.18637/jss.v027.i08openalex-snapshot
Regression Models for Count Data in R
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/10.3141/2387-06openalex-snapshot
Station-Level Forecasting of Bikesharing Ridership
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Approximation of Queues in Bike-Sharing Systems with Finite Docks
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Charging the Unserved: Agent-Based Modelling of Charging Demand in Copenhagen with Information-Sharing Mechanisms
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Bayesian Sequential Learning and Decision Making in Bike‐Sharing Systems
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Full‐load route planning for balancing bike sharing systems by logic‐based benders decomposition
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Data-Driven Rebalancing Methods for Bike-Share Systems
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A Data Analysis Method for Estimating Balking Behavior in Bike-Sharing Systems
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Vorausschauende Politiken
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Data-Driven Approach for Defining Demand Scenarios for Shared Autonomous Cargo-Bike Fleets
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Predicting Station Occupancy of Bike-Sharing System During Events: Insights from Lisbon
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Unlock a Bike, Unlock New York: A Study of the New York Citi Bike System
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Region-based demand forecasting in bike-sharing systems using a multiple spatiotemporal fusion neural network
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PILOT, GRASP, and VNS approaches for the static balancing of bicycle sharing systems
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Predicting travel demand of a bike sharing system using graph convolutional neural networks
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Modelling Methods for Planning and Operation of Bike-Sharing Systems
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Dockless bike sharing alleviates road congestion by complementing subway travel: Evidence from Beijing
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Dynamic Lookahead Policies for Stochastic-Dynamic Inventory Routing in Bike Sharing Systems
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Causes of transportation inequality: The case of bike sharing in the U.S.
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Influence of service quality in sharing economy: Understanding customers’ continuance intention of bicycle sharing
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The role of EV fast charging in the urban context: An agent-based model approach
inferred← citeshttps://doi.org/10.1016/j.inffus.2026.104216openalex-snapshot
Knowledge graph-augmented stacking for accurate bike-sharing demand forecasting: The ridegraph framework
inferred← citeshttps://doi.org/10.1016/j.ins.2022.07.054openalex-snapshot
Hyper-clustering enhanced spatio-temporal deep learning for traffic and demand prediction in bike-sharing systems
inferred← citeshttps://doi.org/10.1016/j.jclepro.2020.125530openalex-snapshot
Sustainable e-bike sharing recycling supplier selection: An interval-valued Pythagorean fuzzy MAGDM method based on preference information technology
inferred← citeshttps://doi.org/10.1016/j.jcmr.2024.100025openalex-snapshot
Natural barriers facing female cyclists and how to overcome them: A cross national examination of bikesharing schemes
inferred← citeshttps://doi.org/10.1016/j.jtrangeo.2016.06.008openalex-snapshot
Incorporating the impact of spatio-temporal interactions on bicycle sharing system demand: A case study of New York CitiBike system
inferred← citeshttps://doi.org/10.1016/j.jtrangeo.2016.11.014openalex-snapshot
Exploring the impact of built environment factors on the use of public bikes at bike stations: Case study in Zhongshan, China
inferred← citeshttps://doi.org/10.1016/j.jtrangeo.2021.103155openalex-snapshot
How does weather affect bikeshare use? A comparative analysis of forty cities across climate zones
inferred← citeshttps://doi.org/10.1016/j.retrec.2015.10.015openalex-snapshot
A study on use and location of community cycle stations
inferred← citeshttps://doi.org/10.1016/j.retrec.2021.101032openalex-snapshot
Using multivariate adaptive regression splining (MARS) to identify factors affecting the performance of dock-based bikesharing: The case of Chicago’s Divvy system
inferred← citeshttps://doi.org/10.1016/j.rtbm.2024.101237openalex-snapshot
A periodical decomposition-based two-stage NARX model for demand prediction of bike-sharing travel in hotspot areas
inferred← citeshttps://doi.org/10.1016/j.scs.2018.08.018openalex-snapshot
Modelling bicycle availability in bicycle sharing systems: A case study from Montreal
inferred← citeshttps://doi.org/10.1016/j.scs.2019.101882openalex-snapshot
A review on bike-sharing: The factors affecting bike-sharing demand
inferred← citeshttps://doi.org/10.1016/j.tbs.2019.05.004openalex-snapshot
Bikesharing in Philadelphia: Do lower-income areas generate trips?
inferred← citeshttps://doi.org/10.1016/j.tra.2016.08.030openalex-snapshot
Bikeshare trip generation in New York City
inferred← citeshttps://doi.org/10.1016/j.tra.2019.01.004openalex-snapshot
Do new bike share stations increase member use: A quasi-experimental study
inferred← citeshttps://doi.org/10.1016/j.tra.2019.07.018openalex-snapshot
Effect of built environment on shared bicycle reallocation: A case study on Nanjing, China
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A framework for estimating bikeshare origin destination flows using a multiple discrete continuous system
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Factors influencing the usage of shared E-scooters in Chicago
inferred← citeshttps://doi.org/10.1016/j.tra.2022.10.013openalex-snapshot
Effect of dockless bike-sharing scheme on the demand for London Cycle Hire at the disaggregate level using a deep learning approach
inferred← citeshttps://doi.org/10.1016/j.trb.2014.10.003openalex-snapshot
A 3-step math heuristic for the static repositioning problem in bike-sharing systems
inferred← citeshttps://doi.org/10.1016/j.trc.2018.02.008openalex-snapshot
A static free-floating bike repositioning problem with multiple heterogeneous vehicles, multiple depots, and multiple visits
inferred← citeshttps://doi.org/10.1016/j.trc.2020.102648openalex-snapshot
A review of bicycle-sharing service planning problems
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Estimating latent demand of shared mobility through censored Gaussian Processes
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Improving the fate of a Bike: A Usage-Continuity-Driven predictive framework for Bike-Sharing rebalancing under sparse demand
inferred← citeshttps://doi.org/10.1016/j.trd.2025.105097openalex-snapshot
Enhancing bikeshare systems with e-bikes in semi-hilly Cities: Insights from Washington D.C
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A static bike repositioning model in a hub-and-spoke network framework
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Toward sustainable travel: An analysis of campus bikeshare use
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Portraying perceptions of bike-sharing schemes (BSS) in Santiago, Chile: What both regular users and pedestrians tell us
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Predicting Trip Duration and Distance in Bike-Sharing Systems Using Dynamic Time Warping
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Framework for hourly demand forecasting of bike-sharing stations: case study of the four main gate areas in Seoul
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Network and station-level bike-sharing system prediction: a San Francisco bay area case study
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Stochastic fleet deployment models for public bicycle rental systems
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Understanding the spatiotemporal patterns of public bicycle usage: A case study of Hangzhou, China
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Dynamic linear models to predict bike availability in a bike sharing system
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A comparative analysis of e-scooter and e-bike usage patterns: Findings from the City of Austin, TX
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Examining the impact of sample size in the analysis of bicycle-sharing systems
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Demand-driven multi-period dual-cost rebalancing for bike-sharing systems
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Rental Prediction in Bicycle-Sharing System Using Recurrent Neural Network
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Predicting Travel Demand of a Docked Bikesharing System Based on LSGC-LSTM Networks
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What is the Best Design Goal for a DBSS: Throughput, Dock Availability or User Dissatisfaction?
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Incremental Learning Models of Bike Counts at Bike Sharing Systems
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Bike Sharing Demand Prediction based on Knowledge Sharing across Modes: A Graph-based Deep Learning Approach
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Usage Mining of the London Santander Bike-Sharing System
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Hybrid Bicycle Allocation for Usage Load Balancing and Lifetime Optimization in Bike-Sharing Systems
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A Systematic Literature Review on Machine Learning in Shared Mobility
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Multiobjective Bike Repositioning in Bike-Sharing Systems via a Modified Artificial Bee Colony Algorithm
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Spatial Contiguity-Constrained Hierarchical Clustering for Traffic Prediction in Bike Sharing Systems
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Quality of Service Measure for Bike Sharing Systems
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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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Life cycle assessment to quantify the impact of technology improvements in bike‐sharing systems
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Predicting Demand of Distributed Product Service Systems by Binomial Parameter Mapping: A Case Study of Bike Sharing Station Expansion
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Towards Station-Level Demand Prediction for Effective Rebalancing in Bike-Sharing Systems
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Modelling of User Behaviour for Static Rebalancing of Bike Sharing System: Transfer of Demand from Bike-Shortage Stations to Neighbouring Stations
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The Reliability Model for Bike‐Sharing Dispatch Based on Hotspot Detection and Hypothesis Test: A Case Study in Beijing
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Use of Deep Learning to Predict Daily Usage of Bike Sharing Systems
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Optimal Relocation Strategy for Public Bike System with Selective Pick-Up and Delivery
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Modeling Destination Choice Behavior of the Dockless Bike Sharing Service Users
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Efficiency Comparison of Public Bike-Sharing Repositioning Strategies Based on Predicted Demand Patterns
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Modeling the Demand for Shared E-Scooter Services
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Relationships between Shared Bicycle Demand and Precipitation
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Predicting demand for a bike-sharing system with station activity based on random forest
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The Impact of Machine Learning Forecasting On Strategic Decision-Making for Bike Sharing Systems
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Learning from Imbalanced Datasets: The Bike-Sharing Inventory Problem Using Sparse Information
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Data-Driven Approach for Defining Demand Scenarios for Shared Autonomous Cargo Bike Fleets
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Tripartite Dynamic Game among Government, Bike-Sharing Enterprises, and Consumers under the Influence of Seasons and Quota
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Ebike Sharing vs. Bike Sharing: Demand Prediction Using Deep Neural Networks and Random Forests
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Divide-and-train: A new approach to improve the predictive tasks of bike-sharing systems
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Bike-sharing usage : mining on the trip data of bike-sharing users
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Demand Forecasting in Bike-sharing Systems Based on A Multiple Spatiotemporal Fusion Network
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Impact of land use on bicycle usage: A big data-based spatial approach to inform transport planning
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Travel demand analytics of Shared E-Scooter using econometric models
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A Modular Approach to Compare Optimization Methods for Bike Sharing Systems
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