This image is a chart of the data compiled on street cleaning parking ticket times of issuance

Can you Predict Your Next NYC Parking Ticket?

This image is a pattern just like the parking ticket warriors show a pattern in issuing street cleaning parking tickets

NYC parking ticket warriors reveal a pattern of issuing street cleaning tickets

Here’s the mission of I Quant in the author’s own words. “Quantitative Analysis of NYC Data: Every data set that the city releases tells a story. This blog is all about telling those stories, one data set at a time”_Professor Ben Wellington. But, can the good professor predict your next NYC parking ticket?

Using Open Data to predict parking tickets

Professor Wellington wanted to learn how ticketing worked in his neighborhood, Carroll Gardens. We’ve got a “No Parking, Street Cleaning, 11:30AM-1:00PM” sign on our block. So, he decided to research about the way tickets were given during that time period.”

Here’s one particularly interesting finding. And the excellent visualization of the data.

“What we see here is that officers are honoring the 5 minute grace period put in place by the City Council last 7 months.

We also see that there have been no tickets given in the last 10 minutes of street cleaning in the neighborhood in the lat 6 months.

If you are one of those people who sit in their car every Thursday, and you are willing to bet that this pattern will continue, you just saved about 10% of your wait time, (assuming of course that the Street Sweeper has already passed.)”

This image is a chart of the data compiled on street cleaning parking ticket times of issuance

More street cleaning parking data

Here’s a link to the article that includes all of the findings of Professor Wellington. His findings are not only fascinating, but will help you save money and your valuable time  baby-sitting your chariot on street cleaning days.

Commentary

Ben Wellington (the author)  is a Visiting Assistant Professor in the City & Regional Planning program at the Pratt Institute in Brooklyn, NY, where he teaches a statistics course based upon real NYC open data.  A heartfelt thank you to Professor Wellington for investing his valuable time and sharing his findings with us.

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