Name
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/CSE.2013.78 | C3S2E |
Keywords | Field | DocType |
mobile devices,urban planning,statistical distributions,user mobility patterns,region spatial-temporal feature dimensions,mobile device,regions spatial-temporal feature,urban spatial structure,region functions,cell region,massive urban sensing data,cellular radio,call data record,mobile phone subscribers,call data records,region partition,latent model,city dynamic,user mobility,generative model,mobile radio,city dynamics,mobile phone subscriber,city development,pervasive cell phone network,probabilistic distribution,town and country planning,topic model,human activities,administrative area planning,location based service,mobile computing,urban computing,cell region classification,advertising | Mobile computing,Urban spatial structure,Computer science,Computer network,Location-based service,Targeted advertising,Urban computing,Urban planning,Mobile phone,Mobile telephony | Conference |
ISSN | Citations | PageRank |
1949-0828 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Feng Xiang | 1 | 0 | 0.68 |
| Lai Tu | 2 | 69 | 8.90 |
| Benxiong Huang | 3 | 168 | 19.36 |
| Xiaojun Yin | 4 | 0 | 0.68 |