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Human mobility from GSM data - A valid alternative to GPS?

Presentation held at Nokia Mobile Data Challenge 2012 Workshop, June 18-19, 2012, Newcastle, UK
 
: Schulz, Daniel; Bothe, Sebastian; Körner, Christine

:
Volltext urn:nbn:de:0011-n-2070012 (881 KByte PDF)
MD5 Fingerprint: 3181e286ef673e965abce074cbcba964


2012, 4 pp.
Mobile Data Challenge Workshop (MDC) <2012, Newcastle>
English
Presentation, Electronic Publication
Fraunhofer IAIS ()
GSM; GPS; comparative study; mobility quantities

Abstract
Characteristics of human mobility are a valuable source of information in many applications. In this paper we evaluate the usability of call detail records for the extraction of mobility quantities. We derive several quantities from the simultaneously collected GPS and GSM mobility data of the Nokia Mobile Data Challenge. Our analyses show that GSM activity data underestimates average daily travel distance and radius of gyration when derived straightforward from the data. In addition, they indicate that the correlation between mobile phone usage and movement quantities is biased when using GSM activity data. Finally, our analyses confirm that long-term GSM activity data is well suited to detect frequent stop locations.

: http://publica.fraunhofer.de/documents/N-207001.html