6 papers
The power law in human mobility is a mixture artifact: evidence from a pandemic natural experiment
Leo Ferres, Bruno Gonçalves
For nearly two decades, human mobility has been read as scale free. Displacement distributions follow heavy tails that look like truncated power laws, traced to individual Lévy fli…
Correcting socioeconomic bias in mobile phone mobility estimates using multilevel regression and poststratification
Leo Ferres, Laetitia Gauvin
Call detail records (CDR) from mobile phone networks are widely used to study human mobility however CDR data from a single mobile operator are inherently biased because the observ…
Unequal changes in commuting patterns across socio-economic strata in response to pandemic restrictions
Cristiano Marinelli, Leo Ferres, Niccolò Comini +2
Commuting patterns are a central component of urban dynamics and many societal activities. Exogenous shocks, such as a pandemic, might drastically modify them inducing heterogeneou…
Non-traditional data in pandemic preparedness and response: identifying and addressing first and last-mile challenges
Mattia Mazzoli, Irma Varela-Lasheras, Sonia Namorado +10
The pandemic served as an important test case of complementing traditional public health data with non-traditional data (NTD) such as mobility traces, social media activity, and we…
When Proximity Falls Short: Inequalities in Commuting and Accessibility by Public Transport in Santiago, Chile
Cesar Marin-Flores, Leo Ferres, Henrikki Tenkanen
Traditional measures of urban accessibility often rely on static models or survey data. However, location information from mobile networks now enables large-scale, dynamic analyses…
Characterizing User Behavior: The Interplay Between Mobility Patterns and Mobile Traffic
Anne Josiane Kouam, Aline Carneiro Viana, Mariano G. Beiró +2
Mobile devices have become essential for capturing human activity, and eXtended Data Records (XDRs) offer rich opportunities for detailed user behavior modeling, which is useful fo…