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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chaogui Kang Song Gao Xing Lin Yu Xiao Yihong Yuan Yu Liu Xiujun Ma |
| Copyright Year | 2010 |
| Description | Author affiliation: Key Laboratory of Machine Perception (Minister of Education), Peking University, Beijing, China 100871 (Xiujun Ma) || Department of Geography, University of California, Santa Barbara, CA 93106, USA (Yihong Yuan) || Institute of Remote Sensing and Geographical Information Systems, Peking University, Beijing, China 100871 (Chaogui Kang; Song Gao; Xing Lin; Yu Xiao; Yu Liu) |
| Abstract | Understanding the dynamics of the individuals' daily mobility patterns is very important in a wide range of fields. However, lacking of tools to monitor the time-resolved location of individuals makes this research consume both tremendous time and money in the past. Nowadays, the rapidly developing ability to collect space-time activity (STA) data through new information technologies such as cellular phones, WiFi, and GPS methods is improving the quantity and quality of these data and reducing their cost. Also, “People-Based GIS” gives us a new perspective for analyzing and visualizing these data. In this paper, we introduce several preprocessing and spatiotemporal analysis methods for such new ICT data in individual human mobility patterns mining and urban analysis under the time geography framework. By using millions of raw mobile call records of a large city in China, we compute statistical characteristic of cell phone usage both at different time of a day and on different days of a week to derive aggregated mobility patterns for millions of mobile phone users and individual mobility patterns for different groups which are divided by some selected social factors, such as gender and age. The research methods and results also illustrate how to make 3D or 2D graphic representations of individual activities patterns and their evolution through space and time. |
| Starting Page | 1 |
| Ending Page | 7 |
| File Size | 2139202 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424473014 |
| e-ISBN | 9781424473038 |
| DOI | 10.1109/GEOINFORMATICS.2010.5567857 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Mobile call records Time geography Spatio-temporal data mining Poles and towers Humans Geo-visualization Cities and towns Mobile communication Mobile handsets Three dimensional displays Trajectory Individual mobility patterns |
| Content Type | Text |
| Resource Type | Article |
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