This blog post discusses the application of crowdsourced GPS-based mobility datasets for cybersecurity incident investigations.
This blog posts delves into the mobility data and trip hop movement patterns for one of the largest metropolitan regions in the United States.
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CITYDATA holds fresh, accurate, anonymized, crowdsourced mobility data for 1569 cities and metropolitan areas on a global scale.
With the changes in people-behaviors due to COVID-19, urban planners, transportation agencies, municipal leaders, and academic researchers are in need of a reliable baseline for measuring the variations in mobility patterns over time.
The Greater New York metropolitan area is the most populous urban agglomeration in the United States. The metro stretches across 23 contiguous counties, spans a total area of 6732 square miles, and host 20.31 million inhabitants, making it the tenth largest metropolitan mega region in the world.
CITYDATA curates daily mobility patterns for approximately 7.58 million devices or 37.29% of the population of in the Greater New York metro. September tends to be the preferred month for baselining mobility data. To that end, we have computed the mobility trip hops for the Greater New York metro for the month of September. The video at the below link shows the mobility patterns for 5000 devices and 952174 trip hops, visualized with a time series animation.
Reach out to us if you'd like to access the mobility datasets with trip hops for any of the top 1000 cities and metro areas in United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, Peru. Our mobility patterns are available for all cities, districts, states, and countries in the Americas.