Rail Transit Passenger Trip Correlation Analysis Based on Travel Chain—Taking Guangzhou as an Example

Author:

Yu Zhitian,Zou Liang,He Minhui

Publisher

Springer Nature Switzerland

Reference14 articles.

1. Wang, J.B.: Analysis of bus passenger travel characteristics based on trip chain. https://kns.cnki.net/kcms2/article/abstract?v=3VGQGmUhR6GHrxUzZD6JNjVHJxsdZgh3_85rjnNGu0PmhDBttzFaZKq7Fu4ULNPCCD3OcdelqglG0AjU_mzxKlG29rRqQ5s7mE2W89LEuZRnpO6hVwrDuQ==&uniplatform=NZKPT&language=CHS. (2017). Last accessed 21 Jan 2023

2. Cao, S.H., Yuan, Z.Z., Zhang, C.Q., Zhao, L.: LOS classification for urban rail transit passengers based on passenger perceptions. J. Trans. Syst. Eng. Inf. Technol. 9(02), 99–104 (2009)

3. Gong, Y.X., Lin, Y.Y., Duan, Z.Y.: Exploring the spatiotemporal structure of dynamic urban space using metro smart card records. Comput. Environ. Urban Syst. 64, 169-183 (2017)

4. Yao, X.M., Zhao, P., Han, B.M.: Home district identification for urban rail transit travelers by mining automatic fare collection data. J. Transp. Syst. Eng. Inf. Technol. 16(05), 233–240 (2016)

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