In January, Uber’s resident neuroscientist Bradley Voytek put together a visualization of the flow of people in San Francisco — the volume and direction of people traveling from one city neighborhood to another — using Uber’s ride data. Now, he’s done it for eight more US cities.
Here’s a look at the flow in Boston:
Voytek explains the networked circles and lines:
“The neighborhoods are outlined in grey and at the centroid of each neighborhood is a circle, the size of which represents the proportion of rides that flow out of that neighborhood. The circles are colored according to which statistically-identified subnetwork they belong. Every neighborhood that sends a ride in has a line of the same color as the source neighborhood connecting it to its destination. The weight of each line represents the proportion of rides that go from the source neighborhood to its target. Technically speaking, this is a weighted digraph.”
You can see Voytek’s other city flow visualizations using Uber data — including Chicago, Los Angeles, Washington D.C., New York, Philadelphia, San Diego, and Seattle — here.