Identifying and understanding road-constrained areas of interest (AOIs) through spatiotemporal taxi GPS data: A case study in New York City

Liu, Yunzhe ORCID: 0000-0002-7189-3323, Singleton, Alex, Arribas-bel, Daniel and Chen, Meixu ORCID: 0000-0003-2712-5551 (2021) Identifying and understanding road-constrained areas of interest (AOIs) through spatiotemporal taxi GPS data: A case study in New York City. COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 86.

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Item Type:	Article
Uncontrolled Keywords:	Areas of interest, ST-DBSCAN, Public transit, Taxi GPS, Urban analytics, Mobility
Divisions:	Faculty of Science and Engineering > School of Environmental Sciences
Depositing User:	Symplectic Admin
Date Deposited:	17 Aug 2021 07:17
Last Modified:	14 May 2022 07:17
DOI:	10.1016/j.compenvurbsys.2020.101592
Open Access URL:	https://doi.org/10.1016/j.compenvurbsys.2020.10159...
Related URLs:	Author
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3133764

Available Versions of this Item

• Identifying and understanding road-constrained areas of interest (AOIs) through spatiotemporal taxi GPS data: A case study in New York City. (deposited 11 Feb 2021 14:06)
  • Identifying and understanding road-constrained areas of interest (AOIs) through spatiotemporal taxi GPS data: A case study in New York City. (deposited 17 Aug 2021 07:17) [Currently Displayed]