Equity in transportation
Page 40 of 74 fees, fines, and fares
Traffic violation fines have disproportionate impacts
In 2018, municipal police departments and county sheriffs in the CMAP region performed
1,613,832 traffic stops.
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Sixty percent were for moving violations, which include speeding,
traffic signal, and lane violations, among others.
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After stopping a motorist, a law enforcement
officer may issue a verbal warning, written warning, or a citation. Data analysis found that
traffic stops resulted in a motorist receiving a citation 31 percent of the time — with the majority
of citations for moving violations. Speeding led as the most common reason for both a stop and
a moving violation citation, although speeding was more likely to lead to a citation than other
moving violations.
Some national survey research suggests an association between higher income and speeding;
drivers with household income exceeding $100,000 are more likely to report speeding than
drivers in lower-income households ($30,000 or less).
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However, this association is complicated
by the fact a subset of respondents reporting high household incomes are young drivers who
still live with their parents — a population at higher risk for speeding.
Disaggregating the data by race and ethnicity indicates motorists identified as Black are
stopped at a substantially higher rate than other racial and ethnic groups; motorists identified
as Black make up 31.2 percent of those stopped in the data while comprising only 16.7 percent
of the region’s population.
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However, motorists identified by law enforcement as Black were
less likely to receive a citation once stopped -- receiving a citation in 22.8 percent of stops,
compared to roughly 35 percent of stops for all other racial and ethnicity groups
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Overall,
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CMAP analysis of 2018 IDOT Traffic Stop Study data. It should be noted that from 2017 to 2018, the Chicago Police
Department, which makes up the largest share of law enforcement traffic stops in the region, increased traffic stops
by more than 70 percent. At the same time, citations issued by the Chicago Police Department were largely flat. Matt
Masterson, “ACLU Report Finds Chicago Police Traffic Stops Jumped by 200K in 2018,” WTTW, December 19, 2019,
https://news.wttw.com/2019/12/19/aclu-report-finds-chicago-police-traffic-stops-jumped-200k-2018
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IDOT Illinois Traffic Stop Study data divide the reason for traffic stops into four categories: moving violations,
equipment, license plate/registration, and commercial vehicle.
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National Highway Traffic Safety Administration, 2011 National Survey of Speeding Attitudes and Behaviors, December
2013,
https://www.nhtsa.gov/sites/nhtsa.dot.gov/files/2011_n_survey_of_speeding_attitudes_and_behaviors_811865.pdf
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There are a number of limitations to using census racial and ethnic share of residential population data as a
benchmark for comparison. One major issue is that driver population likely differs from the residential population.
Utilization of census residential population figures does not account for the fact non-residents of the region also use
the roadways and are stopped by law enforcement. Additionally, members of different racial and ethnic groups in
the region drive at different rates, as indicated by prior CMAP analysis that show white workers in the region drive
alone as their commute mode at a higher rate than Black workers. Chicago Metropolitan Agency for Planning, Travel
Trends: Understanding how our region moves, 2016, https://www.cmap.illinois.gov/documents/10180/517201/FY17-
0012+Travel+Trends+Snapshot/
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The Illinois Traffic Stop Study data rely on law enforcement officers to identify the race and ethnicity of stopped
drivers, which may not align with driver racial and ethnic self-identification. Additionally, there is no differentiation
in the data between race and ethnicity, with a single option for “Hispanic or Latino.”