TY - GEN
T1 - Population estimation from mobile network traffic metadata
AU - Khodabandelou, Ghazaleh
AU - Gauthier, Vincent
AU - El-Yacoubi, Mounim
AU - Fiore, Marco
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/7/26
Y1 - 2016/7/26
N2 - Smartphones and other mobile devices are today pervasive across the globe. As an interesting side effect of the surge in mobile communications, mobile network operators can now easily collect a wealth of high-resolution data on the habits of large user populations. The information extracted from mobile network traffic data is very relevant in the context of population mapping: it provides a tool for the automatic and live estimation of population densities, overcoming the limitations of traditional data sources such as censuses and surveys. In this paper, we propose a new approach to infer population densities at urban scales, based on aggregated mobile network traffic metadata. Our approach allows estimating both static and dynamic populations, achieves a significant improvement in terms of accuracy with respect to state-of-the-art solutions in the literature, and is validated on different city scenarios.
AB - Smartphones and other mobile devices are today pervasive across the globe. As an interesting side effect of the surge in mobile communications, mobile network operators can now easily collect a wealth of high-resolution data on the habits of large user populations. The information extracted from mobile network traffic data is very relevant in the context of population mapping: it provides a tool for the automatic and live estimation of population densities, overcoming the limitations of traditional data sources such as censuses and surveys. In this paper, we propose a new approach to infer population densities at urban scales, based on aggregated mobile network traffic metadata. Our approach allows estimating both static and dynamic populations, achieves a significant improvement in terms of accuracy with respect to state-of-the-art solutions in the literature, and is validated on different city scenarios.
UR - https://www.scopus.com/pages/publications/84983800347
U2 - 10.1109/WoWMoM.2016.7523554
DO - 10.1109/WoWMoM.2016.7523554
M3 - Conference contribution
AN - SCOPUS:84983800347
T3 - WoWMoM 2016 - 17th International Symposium on a World of Wireless, Mobile and Multimedia Networks
BT - WoWMoM 2016 - 17th International Symposium on a World of Wireless, Mobile and Multimedia Networks
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2016
Y2 - 21 June 2016 through 24 June 2016
ER -