DocumentCode
74392
Title
Capturing Urban Dynamics with Scarce Check-In Data
Author
Komninos, Andreas ; Stefanis, V. ; Plessas, A. ; Besharat, Jeries
Volume
12
Issue
4
fYear
2013
fDate
Oct.-Dec. 2013
Firstpage
20
Lastpage
28
Abstract
The authors describe their analysis of three months´ worth of collected human-physical environment interactions (Foursquare check-in) data for a medium-sized city in Greece. Their analysis shows that although the data generated by the citizens is scarce (on average, fewer than 10 users checked in at any time during the day), they could use it to build a good model of the city´s dynamics. The authors discuss how this information can be used to guide visitors in the city or to provide innovative services for the city´s inhabitants using the cloud.
Keywords
cloud computing; data analysis; social networking (online); social sciences computing; Foursquare; Greece; city dynamics; cloud computing; human-physical environment interactions; scarce check-in data; urban dynamics; Atmospheric measurements; Cities and towns; Cloud computing; Context awareness; Environmental factors; Media; Mobile communication; Mobile radio mobility management; Smart phones; Ubiquitous computing; Urban areas; Web 2.0; Web services; augmented reality; context-aware services; pervasive computing; ubiquitous computing;
fLanguage
English
Journal_Title
Pervasive Computing, IEEE
Publisher
ieee
ISSN
1536-1268
Type
jour
DOI
10.1109/MPRV.2013.42
Filename
6519226
Link To Document