Please use this identifier to cite or link to this item:
https://doi.org/10.1080/19475683.2023.2241526
Title: | Revealing intra-urban hierarchical spatial structure through representation learning by combining road network abstraction model and taxi trajectory data | Authors: | Sheng Hu Song Gao Wei Luo Liang Wu Tianqi Li Yongyang Xu Ziwei Zhang |
Issue Date: | 31-Jul-2023 | Publisher: | Taylor & Francis | Citation: | Sheng Hu, Song Gao, Wei Luo, Liang Wu, Tianqi Li, Yongyang Xu, Ziwei Zhang (2023-07-31). Revealing intra-urban hierarchical spatial structure through representation learning by combining road network abstraction model and taxi trajectory data. Annals of GIS 29 (04) : 499-516. ScholarBank@NUS Repository. https://doi.org/10.1080/19475683.2023.2241526 | Source Title: | Annals of GIS | URI: | https://scholarbank.nus.edu.sg/handle/10635/246442 | ISSN: | 1947-5683 | DOI: | 10.1080/19475683.2023.2241526 |
Appears in Collections: | Elements Staff Publications |
Show full item record
Files in This Item:
File | Description | Size | Format | Access Settings | Version | |
---|---|---|---|---|---|---|
10.108019475683.2023.2241526.zip | 29.08 MB | ZIP | OPEN | None | View/Download |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.