Peer-Reviewed Journal Details
Mandatory Fields
Doyle, J;Hung, P;Farrell, R;McLoone, S
2014
April
Journal of Urban Technology
Population Mobility Dynamics Estimated from Mobile Telephony Data
Published
20 ()
Optional Fields
POSITIONING DATA COMMUNICATION-NETWORKS SPEECH RECOGNITION CELL PHONES VARIABILITY ESTONIA MODELS SPACES
21
109
132
In the last decade, mobile phones and mobile devices using mobile cellular telecommunication network connections have become ubiquitous. In several developed countries, the penetration of such devices has surpassed 100 percent. They facilitate communication and access to large quantities of data without the requirement of a fixed location or connection. Assuming mobile phones usually are in close proximity with the user, their cellular activities and locations are indicative of the user's activities and movements. As such, those cellular devices may be considered as a large scale distributed human activity sensing platform. This paper uses mobile operator telephony data to visualize the regional flows of people across the Republic of Ireland. In addition, the use of modified Markov chains for the ranking of significant regions of interest to mobile subscribers is investigated. Methodology is then presented which demonstrates how the ranking of significant regions of interest may be used to estimate national population, results of which are found to have strong correlation with census data.
ABINGDON
1063-0732
10.1080/10630732.2014.888904
Grant Details