Analysis and Prediction of Dockless Shared Bike Demand Evolving Around Urban Rail Transit Stations: Case Study in Shenzhen, China

Analysis and Prediction of Dockless Shared Bike Demand Evolving Around Urban Rail Transit Stations: Case Study in Shenzhen, China

Abstract The emergence of dockless shared bikes (DSB) has led to their use as an important transfer mode to urban rail transit (URT) stations. However, in highly populated areas such as subway stations in peak hours, there is increasing concern about the imbalance between the demand and supply of sh...

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Bibliographic Details
Main Authors: Yingping Zhao, Yiling Wu, Xinfeng Zhang, Yaowei Wang, Zhenduo Zhang, Hongyu Lu, Dongfang Ma
Format: Article
Language:English
Published: SpringerOpen 2023-11-01
Series:Urban Rail Transit
Subjects:
Urban rail transit
First-/last-mile transfer trips
Dockless shared bikes
Demand prediction
Deep learning
Adaptive graph convolutional recurrent network
Online Access:https://doi.org/10.1007/s40864-023-00204-2

Internet

https://doi.org/10.1007/s40864-023-00204-2

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