Data Sets
Data from Manufactured Disorder: Race, Police, and Erroneous Ticketing in Chicago
Document Type
Data
Publication Date
2022
DOI
https://doi.org/10.7290/U8BXxo63ai
Abstract
“Manufactured Disorder” is a case study of Chicago that focuses on parking tickets written under false pretenses. Multiple sources of administrative data are leveraged against one another to identify more than one in eight tickets over a six-year span were written under conditions when restrictions did not apply. The dataset reviews 3,590,005 tickets issued between August 1, 2012 and May 18, 2018, narrowing its attention to seven different types of parking restrictions that specify circumstantial conditions of compliance. These seven types of tickets were purposefully selected on the basis that their validity could be corroborated (or contested) by data routinely maintained by the City of Chicago (e.g., street cleaning schedules, residential parking zone, special event permits, etc.). The data are hierarchal insofar as they contain units of measure at the ticket-, issuing officer-, and tract- levels, although the data structure follows a partially crossed orientation (i.e., tickets are nested in officer- and tract- level units, but ticketing patterns of issuing officers are not restricted by neighborhood).
Recommended Citation
Henricks, Kasey. 2022. Manufactured Disorder: Race, Policing, and Tickets Issued in Error. Tennessee Research and Creative Exchange: University of Tennessee.
Comments
This dataset comprises 24 elements:
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