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Joint Resource Optimization of Shared Electric Bicycles in Smart Cities
6 references·0 citing·24 second hop
Joint Resource Optimization of Shared Electric Bicycles in Smart Cities (2017)Joint Resource Optimization of Shared Ele…Trip Route Planning for Bicycle-Sharing Systems (2016)Trip Route Planning for Bicyc…Dynamic cluster-based over-demand prediction in bike sharing systems (2016)Dynamic cluster-based over-de…Traffic prediction in a bike-sharing system (2015)Traffic prediction in a bike-…Bike sharing station placement leveraging heterogeneous urban open data (2015)Bike sharing station placemen…Strategic and Operational Planning of Bike-Sharing Systems by Data Mining – A Case Study (2011)Strategic and Operational Pla…Bike Rental Station Deployment Planning in Wuhan (2009)Bike Rental Station Deploymen…Infrastructure, programs, and policies to increase bicycling: An international review (2009)Bikesharing in Europe, the Americas, and Asia (2010)Discovering regions of different functions in a city using human mobility and POIs (2012)A review on bike-sharing: The factors affecting bike-sharing demand (2019)Machine learning for spatial analyses in urban areas: a scoping review (2022)Bike-sharing: History, Impacts, Models of Provision, and Future (2009)Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system (2010)How land-use and urban form impact bicycle flows: evidence from the bicycle-sharing system (BIXI) in Montreal (2014)Driving with knowledge from the physical world (2011)DNN-based prediction model for spatio-temporal data (2016)Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Stochastic Simulation (1987)Bike flow prediction with multi-graph convolutional networks (2018)Predicting station-level hourly demand in a large-scale bike-sharing network: A graph convolutional neural network approach (2018)A spatiotemporal and graph-based analysis of dockless bike sharing patterns to understand urban flows over the last mile (2019)Power-Law Distributions in Empirical Data (2009)Power-law distributions in empirical data (2018)Statistical patterns of human mobility in emerging Bicycle Sharing Systems (2018)A Real-Time Bike Trip Planning Policy With Self-Organizing Bike Redistribution (2021)Potentials and Prospects of Bicycle Sharing System in Smart Cities: A Review (2022)Method on Layout Optimizing of Public Bicycle Rental Stations Based on Complex Network Theory (2011)An Optimization Model of the Layout of Public Bike Rental Stations Based on B+R Mode (2013)Sustainable bike-sharing systems: characteristics and commonalities across cases in urban China (2014)
this work references cited by second hop

References

  • 2015Traffic prediction in a bike-sharing system366 cited
  • 2016Dynamic cluster-based over-demand prediction in bike sharing systems204 cited
  • 2015Bike sharing station placement leveraging heterogeneous urban open data125 cited
  • 2011Strategic and Operational Planning of Bike-Sharing Systems by Data Mining – A Case Study79 cited
  • 2016Trip Route Planning for Bicycle-Sharing Systems14 cited
  • 2009Bike Rental Station Deployment Planning in Wuhan11 cited

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