FERRES, LEONARDO ADRIÁN
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FERRES, LEONARDO ADRIÁN
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Ferres, Leonardo Adrian
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lferres@udd.cl
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Scopus Author ID
14055701500

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Publication

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

2021 , Luca Pappalardo , FERRES, LEONARDO ADRIÁN , Manuel Sacasa , Ciro Cattuto , BRAVO CELEDÓN, MARÍA LORETO

Inferring mobile phone users’ home location, i.e., assigning a location in space to a user based on data generated by the mobile phone network, is a central task in leveraging mobile phone data to study social and urban phenomena. Despite its widespread use, home detection relies on assumptions that are difficult to check without ground truth, i.e., where the individual who owns the device resides. In this paper, we present a dataset that comprises the mobile phone activity of sixty-five participants for whom the geographical coordinates of their residence location are known. The mobile phone activity refers to Call Detail Records (CDRs), eXtended Detail Records (XDRs), and Control Plane Records (CPRs), which vary in their temporal granularity and differ in the data generation mechanism. We provide an unprecedented evaluation of the accuracy of home detection algorithms and quantify the amount of data needed for each stream to carry out successful home detection for each stream. Our work is useful for researchers and practitioners to minimize data requests and maximize the accuracy of the home antenna location.

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Gender gaps in urban mobility

2020 , Laetitia Gauvin , Michele Tizzoni , Simone Piaggesi , Andrew Young , Natalia Adler , Stefaan Verhulst , FERRES, LEONARDO ADRIÁN , Ciro Cattuto

Mobile phone data have been extensively used to study urban mobility. However, studies based on gender-disaggregated large-scale data are still lacking, limiting our understanding of gendered aspects of urban mobility and our ability to design policies for gender equality. Here we study urban mobility from a gendered perspective, combining commercial and open datasets for the city of Santiago, Chile. We analyze call detail records for a large cohort of anonymized mobile phone users and reveal a gender gap in mobility: women visit fewer unique locations than men, and distribute their time less equally among such locations. Mapping this mobility gap over administrative divisions, we observe that a wider gap is associated with lower income and lack of public and private transportation options. Our results uncover a complex interplay between gendered mobility patterns, socio-economic factors and urban affordances, calling for further research and providing insights for policymakers and urban planners.

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Shopping mall attraction and social mixing at a city scale

2018 , Mariano G. Beiró , BRAVO CELEDÓN, MARÍA LORETO , Diego Caro , Ciro Cattuto , FERRES, LEONARDO ADRIÁN , Eduardo Graells-Garrido

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