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A data-driven approach to enhancing cyclist bike share efficiency
9 references·0 citing·28 second hop
A data-driven approach to enhancing cyclist bike share efficiency (2024)A data-driven approach to enhancing cycli…Competitive or complementary? Analyzing bike-sharing use between public transport stops: A case study in Budapest (2023)Competitive or complementary?…Station-level Demand Prediction for Bike-Sharing System (2021)Station-level Demand Predicti…Can user data improve Bike Sharing Systems demand forecasting? (2021)Can user data improve Bike Sh…The Empirical Evaluation of Models Predicting Bike Sharing Demand (2020)The Empirical Evaluation of M…Station Correlation Attention Learning for Data-driven Bike Sharing System Usage Prediction (2020)Station Correlation Attention…Locally Designed Campus Smart Bike Sharing System: Lessons Learned and Design Optimization for Thailand (2020)Locally Designed Campus Smart…Central Station Based Demand Prediction in a Bike Sharing System (2019)Central Station Based Demand …Utilization-Aware Trip Advisor in Bike-Sharing Systems Based on User Behavior Analysis (2018)Utilization-Aware Trip Adviso…Data-Driven Smart Bike-Sharing System by Implementing Machine Learning Algorithms (2018)Data-Driven Smart Bike-Sharin…A General Definition of the Lorenz Curve (1971)Bike-sharing: History, Impacts, Models of Provision, and Future (2009)Bikesharing in Europe, the Americas, and Asia (2010)Challenges and opportunities in algorithmic solutions for re-balancing in bike sharing systems (2020)Competition, Integration, or Complementation? Exploring Dock-Based Bike-Sharing in New York City (2022)RETRACTED ARTICLE: Unlocking the Impact of User Experience on AI-Powered Mobile Advertising Engagement (2024)A NEW MEASURE OF RANK CORRELATION (1938)Rebalancing Bike Sharing Systems (2016)A Machine Learning Based Bike Recommendation System Catering To User’s Travel Needs (2020)A review on bike-sharing: The factors affecting bike-sharing demand (2019)Vá de Bike: Plataforma IoT para Aluguel de Bicicletas (2023)Sensing and predicting the pulse of the city through shared bicycling (2009)Traffic prediction in a bike-sharing system (2015)Dynamic cluster-based over-demand prediction in bike sharing systems (2016)eShare+: A Data-Driven Balancing Mechanism for Bike Sharing Systems Considering Both Quality of Service and Maintenance (2023)Bike sharing station placement leveraging heterogeneous urban open data (2015)A Hierarchical Demand Prediction Method with Station Clustering for Bike Sharing System (2018)Citywide Bike Usage Prediction in a Bike-Sharing System (2019)An Electric Fence-Based Intelligent Scheduling Method for Rebalancing Dockless Bike Sharing Systems (2022)Developing a supervised learning-based simulation method as a decision support tool for rebalancing problems in bike-sharing systems (2023)Optimizing shared bike systems for economic gain: Integrating land use and retail (2024)A forecast for bicycle rental demand based on random forests and multiple linear regression (2017)Cycling towards a more sustainable transport future (2017)Predicting bike sharing demand using recurrent neural networks (2019)A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data (2020)Bike sharing use in conjunction to public transport: Exploring spatiotemporal, age and gender dimensions in Oslo, Norway (2020)The link between bike sharing and subway use during the COVID-19 pandemic: The case-study of New York's Citi Bike (2020)A tourism accessibility indicator for multimodal bike-public transport trips in a metropolitan area (2024)
this work references cited by second hop

References

  • 2018Utilization-Aware Trip Advisor in Bike-Sharing Systems Based on User Behavior Analysis20 cited
  • 2021Station-level Demand Prediction for Bike-Sharing System17 cited
  • 2023Competitive or complementary? Analyzing bike-sharing use between public transport stops: A case study in Budapest9 cited
  • 2020Locally Designed Campus Smart Bike Sharing System: Lessons Learned and Design Optimization for Thailand9 cited
  • 2020The Empirical Evaluation of Models Predicting Bike Sharing Demand9 cited
  • 2020Station Correlation Attention Learning for Data-driven Bike Sharing System Usage Prediction9 cited
  • 2019Central Station Based Demand Prediction in a Bike Sharing System9 cited
  • 2018Data-Driven Smart Bike-Sharing System by Implementing Machine Learning Algorithms7 cited
  • 2021Can user data improve Bike Sharing Systems demand forecasting?4 cited

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