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The Anatomy of the Daily Usage of Bike Sharing Systems:Elevation, Distance and Seasonality · Study

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ArticleThe Anatomy of the Daily Usage of Bike Sharing Systems:Elevation, Distance and Seasonality

Injung Kim2020

Article2020

The Anatomy of the Daily Usage of Bike Sharing Systems:Elevation, Distance and Seasonality

Injung Kim · Konstantinos Pelechrinis

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Urban Transport and Accessibility Transportation Planning and Optimization Transportation and Mobility Innovations

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References

2018Towards Station-Level Demand Prediction for Effective Rebalancing in Bike-Sharing Systems 2015Predicting Bike Usage for New York City's Bike Sharing System 2002Planning for cycling : principles, practice and solutions for urban planners 2018Where Will Dockless Shared Bikes be Stacked?

Cited by

2024Features that influence bike sharing demand 2024Are We Back to Normal? A Bike Sharing Systems Mobility Analysis in the Post-COVID-19 Era 2021Advanced Visual Interaction with Public Bicycle Sharing Systems 2023Scalability evaluation of forecasting methods applied to bicycle sharing systems 2021Advanced Visual Interaction with Public Bicycle Sharing Systems

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2023Forecasting Bike Sharing Demand Using Quantum Bayesian Networkarticle · 2 shared references 2020Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systemsarticle · 2 shared references 2023Understanding the demand predictability of bike share systems: A station-level analysisarticle · 2 shared references 2020A Quantum Bayesian Approach for Bike Sharing Demand Predictionother · 2 shared references 2022Practical method to improve usage efficiency of bike‐sharing systemsarticle · 2 shared references 2022Short-Term Prediction of Bike-Sharing Demand Using Multi-Source Data: A Spatial-Temporal Graph Attentional LSTM Approacharticle · 1 shared reference

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Year2020

Typearticle

Published2020-07-01

Languageen

Citations8

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ShelfUrban Transport and Accessibility

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openalex_workW3126986946

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