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TL-FCM: A hierarchical prediction model based on two-level fuzzy c-means clustering for bike-sharing system
9 references·0 citing·33 second hop
TL-FCM: A hierarchical prediction model based on two-level fuzzy c-means clustering for bike-sharing system (2021)TL-FCM: A hierarchical prediction model b…Hierarchical prediction based on two-level Gaussian mixture model clustering for bike-sharing system (2019)Hierarchical prediction based…Citywide Bike Usage Prediction in a Bike-Sharing System (2019)Citywide Bike Usage Predictio…Hierarchical Prediction Based on Two-Level Affinity Propagation Clustering for Bike-Sharing System (2018)Hierarchical Prediction Based…Factors influencing the choice of shared bicycles and shared electric bikes in Beijing (2016)Factors influencing the choic…Traffic prediction in a bike-sharing system (2015)Traffic prediction in a bike-…Model-Based Count Series Clustering for Bike Sharing System Usage Mining: A Case Study with the Vélib’ System of Paris (2014)Model-Based Count Series Clus…Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system (2010)Urban cycles and mobility pat…Bike-sharing: History, Impacts, Models of Provision, and Future (2009)Bike-sharing: History, Impact…The economic costs of road traffic congestion (2004)The economic costs of road tr…Making Cycling Irresistible: Lessons from The Netherlands, Denmark and Germany (2008)Discovering regions of different functions in a city using human mobility and POIs (2012)Big Data and Cycling (2015)Understanding Spatiotemporal Patterns of Biking Behavior by Analyzing Massive Bike Sharing Data in Chicago (2015)Understanding the impacts of a public transit disruption on bicycle sharing mobility patterns: A case of Tube strike in London (2017)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)A review on bike-sharing: The factors affecting bike-sharing demand (2019)Bikesharing in Europe, the Americas, and Asia (2010)Dynamic cluster-based over-demand prediction in bike sharing systems (2016)Rebalancing Bike Sharing Systems (2016)Planning Bike Lanes based on Sharing-Bikes' Trajectories (2017)Specification Tests for the Multinomial Logit Model (1984)Cycling towards a more sustainable transport future (2017)The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets (2018)Time Series Analysis, Forecasting and Control. (1971)An Attention-Based Deep Learning Framework for Trip Destination Prediction of Sharing Bike (2020)The Bike-Sharing System as an Element of Enhancing Sustainable Mobility—A Case Study based on a City in Poland (2020)Multi-task supply-demand prediction and reliability analysis for docked bike-sharing systems via transformer-encoder-based neural processes (2023)A Framework for Assessing Green Growth Policies (2010)A Matter of Utility? Rationalising Cycling, Cycling Rationalities (2014)Investigating ‘anywhere working’ as a mechanism for alleviating traffic congestion in smart cities (2018)Bicycling renaissance in North America? An update and re-appraisal of cycling trends and policies (2011)Bikeshare: A Review of Recent Literature (2015)Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto (2015)RST-Net: a spatio-temporal residual network based on Region-reConStruction algorithm for shared bike prediction (2022)An Adaptive Spatial-Temporal Method Capturing for Short-Term Bike-Sharing Prediction (2024)How urban form shapes bike-metro integration: A multidimensional typology of usage patterns and accessibility inequities (2025)Mobility pattern recognition based prediction for the subway station related bike-sharing trips (2021)Spatial Contiguity-Constrained Hierarchical Clustering for Traffic Prediction in Bike Sharing Systems (2021)Review of bike-sharing system studies using bibliometrics method (2022)
this work references cited by second hop

References

  • 2009Bike-sharing: History, Impacts, Models of Provision, and Future1,070 cited
  • 2016Factors influencing the choice of shared bicycles and shared electric bikes in Beijing489 cited
  • 2010Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system446 cited
  • 2015Traffic prediction in a bike-sharing system361 cited
  • 2014Model-Based Count Series Clustering for Bike Sharing System Usage Mining: A Case Study with the Vélib’ System of Paris182 cited
  • 2019Citywide Bike Usage Prediction in a Bike-Sharing System106 cited
  • 2004The economic costs of road traffic congestion88 cited
  • 2019Hierarchical prediction based on two-level Gaussian mixture model clustering for bike-sharing system75 cited
  • 2018Hierarchical Prediction Based on Two-Level Affinity Propagation Clustering for Bike-Sharing System19 cited

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