uberdata

9 JAN

Meet Andrew: Operations & Logistics Manager

Have you ever thought about the ways and reasons people move around a city? Andrew is a data-obsessed master of understanding how and why we use Uber to get around NYC (have you read his blog post about Brooklyn?). With his help, we’re able to ensure there are cars where you want them, when you need them, and improve the way New Yorkers move around the city. Read on for more about Andrew!

17 SEP

Uberdata: Brooklyn

Brooklyn, how do you love uberX? Let us count the ways... Using Uber data to show how and why Brooklyn loves uberX.

10 JUN

That’s one dense apple! A study of taxi e-hails in NYC

Team Science looks at e-hail request density in NYC and how the Uber app helps fill the shift-change gap.

4 MAR

Uberdata: Economics of Car Ownership

How do the economics of car ownership in San Francisco compare to using Uber? The results are fairly surprising!

12 DEC

Uberdata: Comparing Apples to Googles (to Bings to MapQuests)

Uber critically relies on accurate geolocation to get your from point A to point B. In this post we put different geolocation services to the test and compare Apple, Google, Bing, and MapQuest.

12 NOV

Uberdata: Mapping a city’s flow using Uber’s ridership data

Some neighborhoods have some kind of "activity gravity" that keeps people within them and using Uber's data we can quantify and visualize this effect.

23 JUN

Uberdata: Building the Perfect Uber Party City

How is San Francisco's Financial District like New York? What neighborhood tells us the most about DC's lifestyle? In this post we use #uberdata to get a feel for each neighborhood's unique style.

9 JAN

Uberdata: Mapping the San Franciscome

9 AUG

Putting Our Pricing to the Test

How math, scientific method and beer are helping Uber lower prices.