Large-scale mobile traffic analysis: a survey

D Naboulsi, M Fiore, S Ribot… - … Surveys & Tutorials, 2015 - ieeexplore.ieee.org
This article surveys the literature on analyses of mobile traffic collected by operators within
their network infrastructure. This is a recently emerged research field, and, apart from a few …

Data from mobile phone operators: A tool for smarter cities?

J Steenbruggen, E Tranos, P Nijkamp - Telecommunications Policy, 2015 - Elsevier
The use of mobile phone data provides new spatio-temporal tools for improving urban
planning, and for reducing inefficiencies in present-day urban systems. Data from mobile …

[HTML][HTML] Utilizing cloud computing to address big geospatial data challenges

C Yang, M Yu, F Hu, Y Jiang, Y Li - Computers, environment and urban …, 2017 - Elsevier
Big Data has emerged with new opportunities for research, development, innovation and
business. It is characterized by the so-called four Vs: volume, velocity, veracity and variety …

Prediction of socioeconomic levels using cell phone records

V Soto, V Frias-Martinez, J Virseda… - User Modeling, Adaption …, 2011 - Springer
The socioeconomic status of a population or an individual provides an understanding of its
access to housing, education, health or basic services like water and electricity. In itself, it is …

A characterization of the COVID-19 pandemic impact on a mobile network operator traffic

A Lutu, D Perino, M Bagnulo, E Frias-Martinez… - Proceedings of the …, 2020 - dl.acm.org
During early 2020, the SARS-CoV-2 virus rapidly spread worldwide, forcing many
governments to impose strict lock-down measures to tackle the pandemic. This significantly …

Evaluation of home detection algorithms on mobile phone data using individual-level ground truth

L Pappalardo, L Ferres, M Sacasa, C Cattuto… - EPJ data …, 2021 - epjds.epj.org
Inferring mobile phone users' home location, ie, assigning a location in space to a user
based on data generated by the mobile phone network, is a central task in leveraging …

Assessing the quality of home detection from mobile phone data for official statistics

M Vanhoof, F Reis, T Ploetz… - Journal of official …, 2018 - journals.sagepub.com
Mobile phone data are an interesting new data source for official statistics. However,
multiple problems and uncertainties need to be solved before these data can inform, support …

A data-driven approach for origin–destination matrix construction from cellular network signalling data: a case study of Lyon region (France)

M Fekih, T Bellemans, Z Smoreda, P Bonnel, A Furno… - Transportation, 2021 - Springer
Spatiotemporal data, and more specifically origin–destination matrices, are critical inputs to
mobility studies for transportation planning and urban management purposes. Traditionally …

On the relationship between socio-economic factors and cell phone usage

V Frias-Martinez, J Virseda - … of the fifth international conference on …, 2012 - dl.acm.org
The ubiquitous presence of cell phones in emerging economies has brought about a wide
range of cell phone-based services for low-income groups. Often times, the success of such …

[HTML][HTML] Exploring night and day socio-spatial segregation based on mobile phone data: The case of Medellin (Colombia)

B Moya-Gómez, M Stępniak… - … Environment and Urban …, 2021 - Elsevier
Social segregation research has a long tradition in urban studies. Usually, these studies
focus on the residential dimension, using official registries (eg, census data), which show …