AI Article Synopsis

  • Researchers analyzed over 11 billion geolocated cell phone records from 33 million devices in Greater Mexico City to study mobility patterns across a 15-month period, including the impact of COVID-19.
  • The analysis focuses on daily movement networks, using statistical geographic areas designated by INEGI, which serves as a framework for integrating mobility data with socio-economic indicators.
  • The findings can help uncover travel patterns, assess socio-economic conditions, and conduct studies on segregation within the metropolitan area.

Article Abstract

Based on more than 11 billion geolocated cell phone records from 33 million different devices, daily mobility networks were constructed over a 15-month period for Greater Mexico City, one of the largest and most diverse metropolitan areas globally. The time frame considered spans the entire year of 2020 and the first three months of 2021, enabling the analysis of population movement dynamics before, during, and after the COVID-19 health contingency. The nodes within the 456 networks represent the basic statistical geographic areas (AGEBs) established by the National Institute of Statistics, Geography, and Informatics (INEGI) in Mexico. This framework facilitates the integration of mobility data with numerous indicators provided by INEGI. Edges connecting these nodes represent movement between AGEBs, with edge weights indicating the volume of trips from one AGEB to another. This extensive dataset allows researchers to uncover travel patterns, cross-reference data with socio-economic indicators, and conduct segregation studies, among other potential analyses.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10796321PMC
http://dx.doi.org/10.1038/s41597-023-02880-yDOI Listing

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