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Machine Learning Models for Bike-Sharing Demand Forecasting

Bike-sharing use has been growing because it improves personal mobility, offers an alternative to walking, and strengthens connections to transit. Demand forecasting is crucial for bike-sharing services because it enables operators to anticipate empty stations and full docks, improve vehicle rebalan...

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Principais autores: Danesh Hosseinpanahi, Parang Zadtootaghaj, Jane Lin, Abolfazl (Kouros) Mohammadian, Bo Zou
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2026-01-01
coleção:Future Transportation
Assuntos:
demand forecasting
shared bikes
machine learning
linear regression
time series
random forest
Acesso em linha:https://www.mdpi.com/2673-7590/6/1/26
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