NDLI: Region Partition Using User Mobility Patterns Based on Topic Model

Content Provider	IEEE Xplore Digital Library
Author	Feng Xiang Lai Tu Benxiong Huang Xiaojun Yin
Copyright Year	2013
Description	Author affiliation: EI Dept., Huazhong Univ. of Sci. & Technol., Wuhan, China (Feng Xiang; Lai Tu; Benxiong Huang; Xiaojun Yin)
Abstract	Urban spatial structure has long been studied by geographers and economists to understand the development of cities using the activities extracted from surveys. With the popularity of mobile devices, massive urban sensing data has brought the opportunities to study human activities and city dynamics. Location based service has enormous growth in the recent years. Such abundant information benefits a variety of applications from urban planning to targeted advertising. In this paper, we perform an in-depth analysis of the correlations of the regions by conducting experiments with trajectories of millions of mobile phone subscribers. We present a method for the classification of cell regions from call data records generated by the pervasive cell phone network. By using latent model we have reduced the dimensions of regions spatial-temporal features and represent the functions of regions with probabilistic distribution. It is shown that our algorithm partitions the city into several regions which is well in line with the administrative area planning.
Starting Page	484
Ending Page	489
File Size	951038
Page Count	6
File Format	PDF
ISBN	9780769550961
DOI	10.1109/CSE.2013.78
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-03
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	call data record Computational modeling Social network services Cities and towns Mobile communication Mobile handsets urban computing Trajectory generative model Data mining region partition
Content Type	Text
Resource Type	Article

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