Coupling travel characteristics identifying and deep learning for demand forecasting on car‐hailing tourists: A case study of Beijing, China

Coupling travel characteristics identifying and deep learning for demand forecasting on car‐hailing tourists: A case study of Beijing, China

Abstract Online car‐hailing, with its advantages of convenience and efficiency, has quickly become popular among tourists, playing a crucial role in the accessibility of scenic spots. Due to the particularities of tourist travel behaviour and the complexity of travel supply and demand around scenic...

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Bibliographic Details
Main Authors:	Zile Liu, Xiaobing Liu, Yun Wang, Xuedong Yan
Format:	Article
Language:	English
Published:	Wiley 2024-04-01
Series:	IET Intelligent Transport Systems
Subjects:	big data demand forecasting ITS policy smart cities traffic and demand managing
Online Access:	https://doi.org/10.1049/itr2.12463

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