#Mobility #Mobile phone data #Data Science #food #nutrition #accessibility #environments #Human behavior

Effect of mobile food environments on fast food visits

Authors: Bernardo Garcia-Bulle, Abigail L. Horn, Brooke M. Bell, Mohsen Bahrami, Burcin Bozkaya, Alex Pentland, Kayla de la Haye, and Esteban Moro Publication: Nature Communications 15, article number: 2291. LINK Abstract: Poor diets are a leading cause of morbidity and mortality. Exposure to low-quality food environments saturated with fast food outlets is hypothesized to negatively impact diet. However, food environment research has predominantly focused on static food environments around home neighborhoods and generated mixed findings. ...

#Mobile phone data #Segregation #food #machine learning

A city is not a static tree: understanding urban areas through the lens of real-time behavioral data

Authors:Esteban Moro Publication: ZARCH, 19, 28–39. 2023 LINK Abstract: Cities are the main ground on which our society and culture develop today and will evolve in the future. Against the traditional understanding of cities as physical spaces mostly around our neighborhoods, recent use of large-scale mobility datasets has enabled the study of our behavior at unprecedented spatial and temporal scales, much beyond our static residential spaces. Here we show how it is possible to use these datasets to investigate the role that human behavior plays in traditional urban problems like segregation, public health, or epidemics. ...

#food #nutrition #Data Science

Behavioral-network determinants of health outcomes.

Our behavior conditions our health. Exposure to infections depends on our and other people’s mobility. Exposure to healthy environments or habits depends on our choices and opportunities. Although human behavior is highly adaptive and dynamic, most social determinants of health are restricted to static aggregated representations of socio-demographic groups or residential environments. We have started a program to understand behavioral-network determinants of health outcomes by modeling physical exposure between people and environments using large datasets of human mobility and activity and multilayer networks. ...