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How to Use Data to Fight For Safe Streets and Stop Super Speeders
['Akash Lal', 'Dave Colon', 'David Meyer', 'Sophia Lebowitz', 'Gersh Kuntzman', 'Akash Lal Is A Student At Stevens Institute Of Technology Studying Computer Science.']
Streetsblog New York City
In December, we joined — and won — a "hack-a-thon" dedicated to using data in the fight for safe streets, organized by Data Science for Social Good, BetaNYC, Families for Safe Streets and Transportation Alternatives.
The Stop Super Speeders bill (S.4045/A.2299) requires the most reckless super speeders — those with 16 or more speed safety camera tickets, or who have accrued 11 or more points on their license related to speed — to install speed limiters to prevent their vehicles traveling more than 5 mph above the speed limit.
There’s a lot of data about super speeders — but it’s dispersed among hundreds of datasets from dozens of places.
These are core technical issues that will need to be addressed when Stop Super Speeders becomes law, and we wanted to help write the first draft of history.
Speeding is preventable, not inevitable, and we will stop super speeders.