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 ORCID: 0000-0002-6274-1619 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. p. 101592.

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Abstract

Urban areas of interest (AOIs) represent areas within the urban environment featuring high levels of public interaction, with their understanding holding utility for a wide range of urban planning applications. Within this context, our study proposes a novel space-time analytical framework and implements it to the taxi GPS data for the extent of Manhattan, NYC to identify and describe 31 road-constrained AOIs in terms of their spatiotemporal distribution and contextual characteristics. Our analysis captures many important locations, including but not limited to primary transit hubs, famous cultural venues, open spaces, and some other tourist attractions, prominent landmarks, and commercial centres. Moreover, we respectively analyse these AOIs in terms of their dynamics and contexts by performing further clustering analysis, formulating five temporal clusters delineating the dynamic evolution of the AOIs and four contextual clusters representing their salient contextual characteristics.

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:	18 Jan 2023 21:33
DOI:	10.1016/j.compenvurbsys.2020.101592
Open Access URL:	https://doi.org/10.1016/j.compenvurbsys.2020.10159...
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3133764

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• 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]