Inferring Long-Term Demand of Newly Established Stations for Expansion Areas in Bike Sharing System

Research on flourishing public bike-sharing systems has been widely discussed in recent years. In these studies, many existing works focus on accurately predicting individual stations in a short time. This work, therefore, aims to predict long-term bike rental/drop-off demands at given bike station...

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Bibliographic Details
Main Authors: Hsun-Ping Hsieh, Fandel Lin, Jiawei Jiang, Tzu-Ying Kuo, Yu-En Chang
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/15/6748