DocumentCode
3444366
Title
Analyzing urban population´s space-time evolution and characteristics based on cell-phone location data — A case study in Shenzhen, China
Author
Xianrui Xu ; Xiaojie Li ; Zhongren Peng
Author_Institution
Sch. of Transp. Eng., Tongji Univ., Shanghai, China
fYear
2013
fDate
20-22 June 2013
Firstpage
1
Lastpage
7
Abstract
This paper analyzes characteristics of population distribution and movements of the city of Shenzhen in southern China by using mobile phone position data, and visualizes the distribution and movements of population in Shenzhen. Nowadays, positioning information of calling activity records of cell phones is more and more feasible with popularity of cell phones and development of the cell network. The tremendous advantages of positioning data in massive data samples, real-time and coverage guarantee it can be a significant supplement tool to monitor population dynamics. The experimental results display a vivid visual representation of population distribution and their movements through space and time. This paper´s analytical method and results can potentially contribute to a better understanding of the surrounding city and further benefits to urban planning and management.
Keywords
data visualisation; mobile handsets; radionavigation; China; Shenzhen; cell phone popularity; cell-phone location data; distribution visualization; mobile phone position data; population distribution; population dynamics monitoring; population movements; positioning information; urban planning; urban population space-time evolution; visual representation; Base stations; Cellular phones; Cities and towns; Computer architecture; Microprocessors; Sociology; Statistics; cell-phone location data; evolution of population distribution; flow peculiarity of population; urban management and planning; visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on
Conference_Location
Kaifeng
ISSN
2161-024X
Type
conf
DOI
10.1109/Geoinformatics.2013.6626032
Filename
6626032
Link To Document