Mobility

Authors: Takahiro Yabe, Bernardo García Bulle Bueno, Xiaowen Dong, Alex Pentland & Esteban Moro Publication: Nature Communications volume 14, Article number: 2310 (2023) LINK Abstract: Diversity of physical encounters in urban environments is known to spur economic productivity while also fostering social capital. However, mobility restrictions during the pandemic have forced people to reduce urban encounters, raising questions about the social implications of behavioral changes. In this paper, we study how individual income diversity of urban encounters changed during the pandemic, using a large-scale, privacy-enhanced mobility dataset of more than one million anonymized mobile phone users in Boston, Dallas, Los Angeles, and Seattle, across three years spanning before and during the pandemic. ...

Authors: Esteban Moro, Dan Calacci, Xiaowen Dong & Alex Pentland. Publication: Nature Communications 12, 4633 (2021). Link Abstract: Traditional understanding of urban income segregation is largely based on static coarse grained residential patterns. However, these do not capture the income segregation experience implied by the rich social interactions that happen in places that may relate to individual choices, opportunities, and mobility behavior. Using a large-scale high-resolution mobility data set of 4. ...

Map art makes beautiful posters. You can find them all over the internet and buy them even framed for your favorite city, area or country. Those posters' beauty relies on the intricate and beautiful pattern of roads, buildings, parks, rivers, etc., which shape our cities and our mobility. In my research I constantly use those maps as the hardware fabric in which humans interact, move or encounter in urban settings. ...

Authors: Alberto Aleta, David Martíın-Corral, Ana Pastore y Piontti, Marco Ajelli, Maria Litvinova, Matteo Chinazzi, Natalie E. Dean, M. Elizabeth Halloran, Ira M. Longini, Jr., Stefano Merler, Alex Pentland, Alessandro Vespignani, Esteban Moro & Yamir Moreno Publication: Nature Human Behavior(2020). Link Abstract: While severe social-distancing measures have proven effective in slowing the coronavirus disease 2019 (COVID-19) pandemic, second-wave scenarios are likely to emerge as restrictions are lifted. Here we integrate anonymized, geolocalized mobility data with census and demographic data to build a detailed agent-based model of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission in the Boston metropolitan area. ...

Authors:Alejandro Llorente, Manuel García-Herránz, Manuel Cebrián and Esteban Moro Journal: PLoS ONE 10(5): e0128692 (2014) LINK Summary: Publicly available social media data can be used to quantify deviations from typical patterns of behavior and uncover how these deviations signal the socio-economical status of regions. Using data from geolocalized Twitter messages, we find that unemployment is correlated with technology adoption, daily activity, diversity in mobility patterns and correctness in communication style. These behavioral metrics serve to build simple, interpretable, and cost-effective socio-economical predictors from these novel digital datasets. ...