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Shared Cycling Demand Prediction during COVID-19 Combined with Urban Computing and Spatiotemporal Residual Network
16 references·0 citing·47 second hopsampled
Shared Cycling Demand Prediction during COVID-19 Combined with Urban Computing and Spatiotemporal Residual Network (2022)Shared Cycling Demand Prediction during C…The Influence of Public Transportation Stops on Bike-Sharing Destination Trips: Spatial Analysis of Budapest City (2022)The Influence of Public Trans…Quantifying the impact of COVID-19 on non-motorized transportation: A Bayesian structural time series model (2021)Quantifying the impact of COV…Modeling the competitiveness of a bike-sharing system using bicycle GPS and transit smartcard data (2020)Modeling the competitiveness …Diffusion of public bicycle systems: Investigating influences of users’ perceived risk and switching intention (2020)Diffusion of public bicycle s…Estimating the parking demand of free-floating bike sharing: A journey-data-based study of Nanjing, China (2019)Estimating the parking demand…Electric Bicycle-Sharing: A New Competitor in the Urban Transportation Market? An Empirical Analysis of Transaction Data (2019)Electric Bicycle-Sharing: A N…A model framework for discovering the spatio-temporal usage patterns of public free-floating bike-sharing system (2019)A model framework for discove…The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets (2018)The station-free sharing bike…Electric fence planning for dockless bike-sharing services (2018)Electric fence planning for d…A Hierarchical Demand Prediction Method with Station Clustering for Bike Sharing System (2018)A Hierarchical Demand Predict…A Bimodal Gaussian Inhomogeneous Poisson Algorithm for Bike Number Prediction in a Bike-Sharing System (2018)A Bimodal Gaussian Inhomogene…Modeling bike availability in a bike-sharing system using machine learning (2017)Modeling bike availability in…Modeling bike availability in a bike-sharing system using machine learning (2017)Modeling bike availability in…Mobility Modeling and Prediction in Bike-Sharing Systems (2016)Mobility Modeling and Predict…Exploring the impact of built environment factors on the use of public bikes at bike stations: Case study in Zhongshan, China (2016)Exploring the impact of built…Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto (2015)Effects of built environment …Travel and the Built Environment: A Synthesis (2001)Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures (2003)Bike-sharing: History, Impacts, Models of Provision, and Future (2009)A review on bike-sharing: The factors affecting bike-sharing demand (2019)Built environment effects on the integration of dockless bike-sharing and the metro (2020)Bikesharing in Europe, the Americas, and Asia (2010)Friendship and mobility (2011)A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems (2019)Using data mining techniques for bike sharing demand prediction in metropolitan city (2020)Travel demand and the 3Ds: Density, diversity, and design (1997)Travel and the Built Environment (2010)Bike-sharing systems and congestion: Evidence from US cities (2017)Unravel the landscape and pulses of cycling activities from a dockless bike-sharing system (2019)Dockless bike-sharing as a feeder mode of metro commute? The role of the feeder-related built environment: Analytical framework and empirical evidence (2020)Statistical and Econometric Methods for Transportation Data Analysis (2003)Deep learning with long short-term memory networks for financial market predictions (2017)A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data (2020)Identifying the nonlinear relationship between free-floating bike sharing usage and built environment (2020)Location-Allocation Problems (1963)Environmental benefits of bike sharing: A big data-based analysis (2018)A spatiotemporal and graph-based analysis of dockless bike sharing patterns to understand urban flows over the last mile (2019)The sharing economy promotes sustainable societies (2019)Demand, Services and Social Aspects of Mitigation (2023)Simple diagnostic tests for spatial dependence (1996)Bikeshare: A Review of Recent Literature (2015)Expanding a(n) (electric) bicycle-sharing system to a new city: Prediction of demand with spatial regression and random forests (2020)Lessons from Implementing a Metropolitan Electric Bike Sharing System (2020)Bikeability and Emerging Phenomena in Cycling: Exploratory Analysis and Review (2021)Understanding individual human mobility patterns (2008)Power-Law Distributions in Empirical Data (2009)Power-law distributions in empirical data (2018)Exploring travel patterns and trip purposes of dockless bike-sharing by analyzing massive bike-sharing data in Shanghai, China (2020)First-mover firms in the transition towards the sharing economy in metallic natural resource-intensive industries: Implications for the circular economy and emerging industry 4.0 technologies (2020)Who Belongs in the Family? (1953)Understanding the determinants of young commuters’ metro-bikeshare usage frequency using big data (2020)What factors influence ridership of station-based bike sharing and free-floating bike sharing at rail transit stations? (2021)Comparison of station-based and free-floating bikeshare systems as feeder modes to the metro (2023)Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system (2010)Machine Learning Approaches to Bike-Sharing Systems: A Systematic Literature Review (2021)Mobility pattern recognition based prediction for the subway station related bike-sharing trips (2021)Bike-Sharing Demand Prediction at Community Level under COVID-19 Using Deep Learning (2022)Forecasting, Structural Time Series Models and the Kalman Filter (1990)How COVID-19 and the Dutch ‘intelligent lockdown’ change activities, work and travel behaviour: Evidence from longitudinal data in the Netherlands (2020)Modal share changes due to COVID-19: The case of Budapest (2020)Exploring the impact of COVID-19 on individual's travel mode choice in China (2021)The potential stickiness of pandemic-induced behavior changes in the United States (2021)Analysis and modeling of changes in online shopping behavior due to Covid-19 pandemic: A Florida case study (2022)
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References

  • 2015Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto570 cited
  • 2018The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets291 cited
  • 2016Exploring the impact of built environment factors on the use of public bikes at bike stations: Case study in Zhongshan, China258 cited
  • 2019A model framework for discovering the spatio-temporal usage patterns of public free-floating bike-sharing system195 cited
  • 2016Mobility Modeling and Prediction in Bike-Sharing Systems190 cited
  • 2018Electric fence planning for dockless bike-sharing services180 cited
  • 2019Electric Bicycle-Sharing: A New Competitor in the Urban Transportation Market? An Empirical Analysis of Transaction Data122 cited
  • 2021Quantifying the impact of COVID-19 on non-motorized transportation: A Bayesian structural time series model105 cited
  • 2019Estimating the parking demand of free-floating bike sharing: A journey-data-based study of Nanjing, China77 cited
  • 2017Modeling bike availability in a bike-sharing system using machine learning68 cited
  • 2020Diffusion of public bicycle systems: Investigating influences of users’ perceived risk and switching intention56 cited
  • 2017Modeling bike availability in a bike-sharing system using machine learning45 cited
  • 2018A Hierarchical Demand Prediction Method with Station Clustering for Bike Sharing System

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45 cited
  • 2018A Bimodal Gaussian Inhomogeneous Poisson Algorithm for Bike Number Prediction in a Bike-Sharing System38 cited
  • 2020Modeling the competitiveness of a bike-sharing system using bicycle GPS and transit smartcard data35 cited
  • 2022The Influence of Public Transportation Stops on Bike-Sharing Destination Trips: Spatial Analysis of Budapest City23 cited
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