Discovering urban functional zones using latent activity trajectories

Yuan, Nicholas Jing, Zheng, Yu, Xie, Xing, Wang, Yingzi, Zheng, Kai and Xiong, Hui (2015) Discovering urban functional zones using latent activity trajectories. IEEE Transactions on Knowledge and Data Engineering, 27 3: 712-725. doi:10.1109/TKDE.2014.2345405

Author Yuan, Nicholas Jing
Zheng, Yu
Xie, Xing
Wang, Yingzi
Zheng, Kai
Xiong, Hui
Title Discovering urban functional zones using latent activity trajectories
Journal name IEEE Transactions on Knowledge and Data Engineering   Check publisher's open access policy
ISSN 1041-4347
Publication date 2015-03-01
Year available 2015
Sub-type Article (original research)
DOI 10.1109/TKDE.2014.2345405
Open Access Status Not yet assessed
Volume 27
Issue 3
Start page 712
End page 725
Total pages 14
Place of publication Piscataway, NJ United States
Publisher Institute of Electrical and Electronics Engineers
Language eng
Abstract The step of urbanization and modern civilization fosters different functional zones in a city, such as residential areas, business districts, and educational areas. In a metropolis, people commute between these functional zones every day to engage in different socioeconomic activities, e.g., working, shopping, and entertaining. In this paper, we propose a data-driven framework to discover functional zones in a city. Specifically, we introduce the concept of latent activity trajectory (LAT), which captures socioeconomic activities conducted by citizens at different locations in a chronological order. Later, we segment an urban area into disjointed regions according to major roads, such as highways and urban expressways. We have developed a topic-modeling-based approach to cluster the segmented regions into functional zones leveraging mobility and location semantics mined from LAT. Furthermore, we identify the intensity of each functional zone using Kernel Density Estimation. Extensive experiments are conducted with several urban scale datasets to show that the proposed framework offers a powerful ability to capture city dynamics and provides valuable calibrations to urban planners in terms of functional zones.
Keyword Functional zones
Human mobility
Latent activity trajectories
Points of interest
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2016 Collection
School of Information Technology and Electrical Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 40 times in Thomson Reuters Web of Science Article | Citations
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