Identification of spatial and functional interactions in Beijing based on trajectory data
The spatial interactions in a city help us understand how the city spaces are structured. Human needs change constantly throughout the day, leading to changing functions of urban space and spatial interactions. Most existing studies on spatial interaction are confined to static interaction, which does not reflect the dynamic spatial interactions and urban space functions. Taxis are an important means of urban transportation, and their trajectories are time sensitive. The clusters of pick-up and drop-off points of taxis directly reflect the spatiotemporal human mobility pattern in a city, and their implicit semantic information can be used to infer the passengers’ activities. Using Beijing as a case study, this paper employs taxi origin and destination trajectory data to explore the dynamic spatial and functional interaction patterns. First, the authors apply tensor decomposition to obtain the spatial and temporal patterns of human mobility. Second, geotagged Weibo texts are incorporated to extract the dynamic urban functional areas. Then, the authors obtain the spatial and functional interactions by trajectory clustering and visualization. The results reveal two daily patterns and four hourly patterns of human mobility. The spatial interactions and the functional interaction reveal the spatial patterns and semantics of human taxi travel behaviors in different time periods.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/01436228
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Supplemental Notes:
- © 2022 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Xu, Jun
- Liu, Ju
- Xu, Yang
- Lv, Yunshuo
- Pei, Tao
- Du, Yunyan
- Zhou, Chenghu
- Publication Date: 2022-8
Language
- English
Media Info
- Media Type: Web
- Features: Figures; Maps; References; Tables;
- Pagination: 102744
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Serial:
- Applied Geography
- Volume: 145
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 0143-6228
- Serial URL: http://www.sciencedirect.com/science/journal/01436228
Subject/Index Terms
- TRT Terms: Geospatial data; Origin and destination; Spatial analysis; Taxicabs; Travel patterns; Vehicle trajectories
- Geographic Terms: Beijing (China)
- Subject Areas: Data and Information Technology; Highways; Passenger Transportation; Planning and Forecasting;
Filing Info
- Accession Number: 01855927
- Record Type: Publication
- Files: TRIS
- Created Date: Aug 24 2022 3:05PM