[HTML][HTML] A systematic review of mobile phone data in crime applications: a coherent taxonomy based on data types and analysis perspectives, challenges, and future …

M Okmi, LY Por, TF Ang, W Al-Hussein, CS Ku - Sensors, 2023 - mdpi.com
Digital technologies have recently become more advanced, allowing for the development of
social networking sites and applications. Despite these advancements, phone calls and text …

[HTML][HTML] Uncovering temporal changes in Europe's population density patterns using a data fusion approach

F Batista e Silva, S Freire, M Schiavina… - Nature …, 2020 - nature.com
The knowledge of the spatial and temporal distribution of human population is vital for the
study of cities, disaster risk management or planning of infrastructure. However, information …

Temporal monitoring of stimulants during the COVID-19 pandemic in Belgium through the analysis of influent wastewater

T Boogaerts, M Quireyns, B Pussig, H De Loof… - International Journal of …, 2022 - Elsevier
Background and aims Wastewater-based epidemiology (WBE) is a complementary
epidemiological data source to monitor stimulant consumption. The aims were to:(i) study …

On the use of data from multiple mobile network operators in Europe to fight COVID-19

M Vespe, SM Iacus, C Santamaria, F Sermi… - Data & Policy, 2021 - cambridge.org
The rapid spread of COVID-19 infections on a global level has highlighted the need for
accurate, transparent and timely information regarding collective mobility patterns to inform …

Data innovation in demography, migration and human mobility

C Bosco, S Grubanov-Boskovic, S Iacus… - arXiv preprint arXiv …, 2022 - arxiv.org
With the consolidation of the culture of evidence-based policymaking, the availability of data
has become central to policymakers. Nowadays, innovative data sources offer an …

Trusted smart statistics: Motivations and principles

F Ricciato, A Wirthmann… - Statistical Journal of …, 2019 - content.iospress.com
In this contribution we outline the concept of Trusted Smart Statistics as the natural evolution
of official statistics in the new datafied world. Traditional data sources, namely survey and …

Trusted Smart Statistics: How new data will change official statistics

F Ricciato, A Wirthmann, M Hahn - Data & Policy, 2020 - cambridge.org
In this discussion paper, we outline the motivations and the main principles of the Trusted
Smart Statistics (TSS) concept that is under development in the European Statistical System …

Modifiable Areal Unit Problem on Grided Mobile Crowd Sensing: Analysis and Restoration

Y Yao, H Zhang, F Defan, J Chen, W Li… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Aggregating crowd density in grids from big mobile datasets is a basic but critical work in
urban computing and mobile computing. The error of position estimation in raw mobile data …

Probabilistic positioning in mobile phone network and its consequences for the privacy of mobility data

A Ogulenko, I Benenson, I Omer, B Alon - Computers, Environment and …, 2021 - Elsevier
The traditional approach to mobile phone positioning is based on the assumption that the
geographical location of a cell tower recorded in a Call Details Record (CDR) is a proxy for a …

Spatial interpolation of mobile positioning data for population statistics

A Aasa, P Kamenjuk, E Saluveer… - Journal of Location …, 2021 - Taylor & Francis
Mobile positioning is recognised to be one of the most promising new sources of data for the
production of fast and cost-effective statistics regarding population and mobility …