Uber has released datasets of road speed data for New York City, Seattle, Cincinnati, Nairobi, and London. The datasets provide the average speed of Uber vehicles on a given road segment for each hour of each day during 2018. Governments can use this data to evaluate the impact of infrastructure investments, better understand congestion, and to inform policies to make traveling more efficient.
Tracking the Speed of Uber Rides
Michael McLaughlin is a research assistant at the Center for Data Innovation. He researches and writes about a variety of issues related to information technology and Internet policy, including digital platforms, e-government, and artificial intelligence. Michael graduated from Wake Forest University, where he majored in Communication with Minors in Politics and International Affairs and Journalism. He received his Master’s in Communication at Stanford University, specializing in Data Journalism.
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