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1. primit+Xg[view] [source] 2020-06-02 00:03:40
>>cpasca+(OP)
I submitted a FOIA request last year for all parking citations issued in San Francisco. The data was truly extraordinary and showed clearly how simple street sweeping citations could lead to a car being towed, auctioned, and the owner (whose name/license plate is publicly listed if they overpaid or paid a citation twice [1]) losing their business and eventually moving elsewhere. I decided against publishing my research out of fear of encroaching on the privacy of those involved.

One story that comes to mind is the license plate HPPYPPS, a plumber whose company Happy Pipes provided service around SF. He was subject to numerous citations on the order of $1k a month. When his van was towed, he likely did not have the funds to retrieve it, and it was subsequently auctioned. He now does business under the same name, but in Utah. It is interesting to think of how much tax revenue the city actually lost by fining a small business out of existence, which was likely much greater than the total punitive fines levied against him.

In the process of looking up companies that owned vehicles, S1 filings, and high-end cars that seem to accrue tens of thousands of dollars of fines every year, I grew exhausted and demoralized by the project and it has sat on my back burner for a year now. If anyone is interested in taking this up while respecting the privacy of those involved, let me know how to contact you and I'll share my data.

1. https://www.sfmta.com/sites/default/files/reports-and-docume...

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2. philmc+Mm[view] [source] 2020-06-02 00:53:57
>>primit+Xg
Lately I've been looking for data sets like this. I was hoping to do an analysis of citations, related to race, related to race of arresting officer, all against the backdrop of the racial profile of the county/city.

I have my preconceived notions of what I'd find, but I think it'd be better to let the data speak for itself.

My email address is just philip at mccarty at gmail, and I would be happy to talk to you on phone/skype/zoom so you can see if you feel comfortable with me using the data for that purpose.

Or we could find a way to anonymize the data, as the personally identifying information isn't necessary for my analysis at all.

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