This blog posts delves into the anonymization and aggregation techniques for mobility data for govtech,
This blog posts delves into the mobility data and trip hop movement patterns for the largest metropolitan regions in Italy and the largest metropolitan regions in Brazil.
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CITYDATA holds fresh, accurate, anonymized, crowdsourced mobility data for approximately 46.1 million devices in Italy's Macro Regions, one of the densest and largest contiguous urban areas in the European Union. With the changes in people-behaviors due to COVID-19, municipalities, transportation agencies, and academic researchers are in need of a reliable baseline for measuring the variations in mobility patterns over time.
September tends to be the preferred month for baselining mobility data. To that end, we have computed the mobility trip hops for India's National Capital Region for the month of September. The video at the below link shows the pre-COVID mobility patterns for 3000 devices and 466256 trip hops, visualized with a time series animation.
In Brazil, the Great Rio de Janeiro metropolitan area stretches across 12 contiguous counties making it one of the largest metropolitan mega regions in the Americas. CITYDATA holds fresh, accurate, anonymized, crowdsourced mobility data for approximately 6.89 million devices in the Greater Rio metro. The video at the below link shows the mobility patterns for 5000 devices and 871083 trip hops, visualized with a time series animation.
Reach out to us if you'd like to access the full mobility dataset with trip hops for Italy or Brazil. Our mobility patterns are available for 1568 cities and metro areas across 60 countries.