URBANA POLICE DEPARTMENT: 2017 TRAFFIC STOP UPDATE
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1 URBANA POLICE DEPARTMENT: 2017 TRAFFIC STOP UPDATE URBANA POLICE DEPARTMENT CRIME ANALYSIS PRESENTERS: Melissa Haynes Crime Analyst, Sylvia Morgan Chief,
2 Traffic Stop Task Force Recommendations Update Completed Recommendations 1.1 Traffic stop category (motivation for stop) 1.2 Ongoing police implicit bias training 1.3 Traffic stop training 2.1 Hire crime analyst 2.2 Open data portal 2.3 City Council review traffic stop data bi-annually 2.4 Analysis of arrests from traffic stops 3.1 Examine disparity in outcomes from traffic stops 4.1 Cops Corner educational video (13:40 18:00) 4.2 Walk as One 4.4 Encourage participation in ride-alongs and Citizen Police Academy TRAFFIC STOP DATA OVERVIEW 2
3 Traffic Stop Task Force Recommendations Update Other Progress Reduced Urbana City Code fines for possession of cannabis and paraphernalia Extended the length of time available to pay minimum fines in Section 1-18 of City Code, from 14 days to 60 days Random supervisory review of traffic stop videos Addition of Beyond Scope checkbox TRAFFIC STOP DATA OVERVIEW Community Outreach Specialist Collaboration with CU Fresh Start 3
4 Traffic Stop Data Overview Overview of statistical methods Quarterly dashboard Number of stops Reason and motivation Disparity ratio Outcomes Maps TRAFFIC STOP DATA OVERVIEW 4
5 Measures of Dispersion Range Variance Standard Deviation z-score Normal Curve Normalized standard deviation 5MEASURES OF DISPERSION
6 Number of Traffic Stops z = NUMBER OF TRAFFIC STOPS Q1 & Q2 5-year Average Q1 & Q
7 STEP Traffic Stops 100% 90% 80% 70% Not STEP STEP TRAFFIC STOPS 60% STEP 50% 40% 30% 20% 70.49% 29.51% 58.21% 41.79% z = % 0% Q1 & Q2 5-year Average Q1 & Q
8 Reason for Stop % 90.00% 80.00% 70.00% 60.00% 50.00% 40.00% Moving Violation z = 0.32 Equipment Violation z = License/ Registration Violation z = REASON FOR STOP 30.00% 20.00% 10.00% 0.00% 70.89% 20.17% 8.95% 72.01% 20.10% 8.14% Q1 & Q2 5-year Average Q1 & Q
9 Motivation for Stop % 90.00% 80.00% 70.00% Traffic Issue 60.00% 50.00% 40.00% 30.00% 20.00% 10.00% 0.00% 71.55% 23.49% 4.95% 79.46% 19.10% 1.69% Q1 & Q Q1 & Q Community Caretaking Targeted Patrol 9MOTIVATION FOR STOP
10 Disparity Ratios Defined % of Drivers Stopped, By Race DISPARITY RATIOS % of Drivers on Street, By Race 10
11 Disparity Ratios, as Reported by IDOT DISPARITY RATIOS Minority Drivers YTD
12 Traffic Stops by Race % 90.00% 80.00% 70.00% 60.00% 50.00% 40.00% 30.00% Caucasian African American Asian Hispanic Accidents by Race % 90.00% 80.00% 70.00% 60.00% 50.00% 40.00% 30.00% Caucasian African American Asian Hispanic RACE OF DRIVERS OF STOPS AND ACCIDENTS 20.00% 20.00% 10.00% 10.00% 0.00% %
13 Disparity Ratios DISPARITY RATIOS 1.5 African American Hispanic 1 Asian Caucasian YTD
14 Disparity Ratio African American z = DISPARITY RATIO Hispanic z = Asian z = Caucasian z = Q1 & Q2 5-year Average Q1 & Q
15 Outcomes of Stops % 90.00% OUTCOMES 80.00% 70.00% 60.00% 50.00% Citation z = 0.64 Warning z = More Serious z = % 30.00% 20.00% 10.00% 0.00% 52.38% 42.37% 5.25% 55.92% 39.57% 4.51% Q1 & Q2 5-year Average Q1 & Q
16 Disparity Ratio of Outcomes Citation Asian 9.29% (83) African American 29.68% (265) Hispanic 4.37% (39) Caucasian 56.55% (505) Warning 10.76% (68) 27.22% (172) 2.85% (18) 58.86% (372) More Serious 2.78% (2) 55.56% (40) 2.78% (2) 38.89% (28) All Stops 9.58% (153) 29.87% (477) 3.69% (59) 56.67% (905) OUTCOMES Citation Warning Only More Serious z-score z-score z-score Asian African American Hispanic Caucasian
17 Disparity Ratio, Race All STEP Non-STEP African American Asian Caucasian Hispanic Number of Stops DISPARITY RATIOS 17
18 All Traffic Stops: MAPS OF TRAFFIC STOPS 18
19 Density of All Traffic Stops: MAPS OF TRAFFIC STOPS 19
20 Density of Traffic Stops by Race, African American Drivers Caucasian Drivers MAPS OF TRAFFIC STOPS 20
21 Density of Non-STEP Traffic Stops, MAPS OF TRAFFIC STOPS 21
22 Density of Non-STEP Traffic Stops by Race, African American Drivers Caucasian Drivers MAPS OF TRAFFIC STOPS 22
23 Density of Citizen-Initiated Calls for Service, MAPS OF TRAFFIC STOPS 23
24 Density of Citizen-Initiated Calls for Service and Census Percent African American, MAPS OF TRAFFIC STOPS 24
25 Density of Citizen-Initiated Calls for Service and Non-STEP Traffic Stops, MAPS OF TRAFFIC STOPS 25
26 Density of Citizen-Initiated Calls for Service and Non-STEP Traffic Stops by Race, African American Drivers Caucasian Drivers MAPS OF TRAFFIC STOPS 26
27 Summary 2017 YTD Fewer traffic stops Higher percentage of STEP traffic stops No meaningful change in motivation for stop, reason for stop No meaningful change in disparity ratio for stop Fluctuations in disparity ratio for outcomes, but remain close to 1.00 SUMMARY , spatially High concentration of traffic stops on thoroughfares Non-STEP stops are more broadly distributed Non-STEP African American stops are more broadly distributed Higher concentration in areas with more calls for service Concentration of calls for service in Census tracts with higher percentage of the population that is African American 27
28 Next Steps Urbana Police Follow-up meetings with council members, if requested Mayor Solicit recommendations from city council and staff for any further changes in city practices/policies to reduce racial disparities related to traffic stops NEXT STEPS Scheduling neighborhood meetings with African-American community in September and October Report back to City Council with recommendations and feedback 28
29 URBANA POLICE DEPARTMENT: 2017 TRAFFIC STOP UPDATE URBANA POLICE DEPARTMENT CRIME ANALYSIS QUESTIONS MAY BE DIRECTED TO: Melissa Haynes, Crime Analyst at
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