NYC’s ‘Rare and Comprehensive’ Public Data Reveals Congestion Pricing's Success

Despite the contentious debate around New York City’s congestion pricing program — and the Trump administration’s attempts to end it — the data is clear: congestion pricing works. But where does the data come from?

In a piece for Wired, Aarian Marshall describes the growing data and analytics team working for the Metropolitan Transportation Authority, a team that increasingly helps the agency understand transit ridership patterns, traffic movement and safety, bus travel times, and other key factors that inform transportation planning decisions.

“Since 2022, the MTA’s data and analytics team has grown to 26 full-time employees, who spend their workdays centralizing information that was once scattered through the entire MTA.” According to Sarah Kaufman, director of the NYU Rudin Center for Transportation, open data “is extremely important to public transit.”

When it comes to congestion pricing, MTA’s data show that traffic entering the city has decreased and bus and car travel times have shortened. “Beyond the congestion zone, though, advocates say open data has helped them craft arguments for local law- and policymakers about improvements they’d like to see in their city.”