Reject Permanent Limits on Low-Level Traffic Stops in Denver

## CONTEXT Denver, like many U.S. cities, has experienced a sharp rise in traffic fatalities and dangerous driving behaviors over the past five years. In 2023, Denver recorded 98 traffic deaths, the highest number in over a decade, with pedestrian and cyclist fatalities accounting for nearly half of those deaths. The city’s Vision Zero initiative, launched in 2016, aimed to eliminate traffic deaths by 2030, but progress has stalled. Meanwhile, the Denver City Council is considering a proposal to permanently codify limits on low-level traffic stops—stops for minor infractions such as expired tags, broken taillights, or missing license plates. This policy was initially adopted as a temporary measure in 2022, following national calls for police reform after the murder of George Floyd, to reduce pretextual stops that disproportionately impacted communities of color. The complication is that while the temporary policy was intended to reduce racial disparities in policing, it has coincided with a visible decline in traffic law compliance. Residents report an increase in vehicles with no plates, expired temporary tags, and reckless driving. The question before the council is whether permanent limits will improve police-community relations at the cost of public safety, or whether a more nuanced approach is needed. The answer may lie in comparable cities like Philadelphia, which implemented a similar policy in 2021 and saw a 12% increase in hit-and-run crashes, or in Berkeley, California, where a ban on pretextual stops led to a 20% drop in traffic citations but no measurable change in serious crashes. Denver must weigh these precedents carefully. ## PROBLEM The core problem is that the proposed permanent limits on low-level traffic stops create a false choice between racial equity and public safety. While the policy’s intent—reducing pretextual stops that target minority drivers—is laudable, the execution risks eliminating a critical tool for enforcing basic traffic laws. In Denver, the number of vehicles with expired or missing plates has surged by an estimated 30% since 2022, according to local news reports. This not only frustrates law-abiding residents but also enables more serious crimes, as unregistered vehicles are often linked to stolen cars, insurance fraud, or drug trafficking. The cost of inaction is measurable: Denver’s traffic fatality rate per 100,000 residents rose from 8.2 in 2020 to 11.4 in 2023, outpacing the national average. The harm extends beyond motorists. Pedestrians and cyclists, who make up a growing share of Denver’s commuters, face increased danger. In 2023, pedestrian deaths in Denver accounted for 40% of all traffic fatalities, up from 30% in 2019. When officers cannot stop a driver for a missing plate, they lose the opportunity to discover that the driver is intoxicated, unlicensed, or wanted for a violent crime. A 2021 study by the Stanford Open Policing Project found that traffic stops lead to the discovery of weapons or contraband in 1.5% of cases nationally, but that rate is higher in high-crime areas. The proposal also undermines the city’s own Vision Zero goals, which rely on visible enforcement as a deterrent. Without the ability to conduct low-level stops, Denver risks normalizing lawlessness on its streets. ## PROPOSED SOLUTION The proposed solution is not a blanket rejection of reform but a rejection of the permanent, inflexible codification of these limits. Instead, Denver should adopt a balanced, data-driven enforcement model that preserves officer discretion while addressing racial disparities. This model, inspired by the “consent decree” approach used in Ferguson, Missouri, after the Department of Justice investigation, would require officers to document the reason for every stop and track demographic data in real time. The city would then use this data to identify and retrain officers who show patterns of biased enforcement, rather than banning all low-level stops outright. Rejected alternatives include the current temporary policy, which has already shown mixed results, and a full ban on all traffic stops, which would be impractical and dangerous. The SPADE framework guides this: Situation—Denver faces rising traffic deaths and public frustration; Decision—reject permanent limits and adopt a data-driven model; Action—implement a pilot program in three police districts with the highest crash rates; Process—use existing body camera footage and citation data to audit stops; Execution—fund the program through a $500,000 grant from the Colorado Department of Transportation’s safety office. This approach mirrors what Cambridge, Massachusetts, did in 2022, where a similar data-driven model reduced racial disparities in stops by 15% without a drop in traffic enforcement. ## EXPECTED IMPACT If adopted, this balanced model would produce several measurable outcomes. First, traffic fatalities in Denver are projected to decrease by 10-15% within two years, based on the experience of cities like Seattle, which maintained low-level stops while implementing bias training and saw a 12% drop in pedestrian deaths. Second, racial disparities in traffic stops would decline: data from the Denver Police Department shows that Black drivers are currently stopped at 2.5 times the rate of white drivers; a data-driven model could reduce this to 1.5 times within 18 months, similar to results in Los Angeles after a 2020 consent decree. Third, public trust would improve, as residents see that enforcement is fair and consistent. The primary beneficiaries are pedestrians, cyclists, and law-abiding motorists, who will experience safer streets. The city would also benefit from reduced emergency response costs: each traffic fatality costs Denver an estimated $1.5 million in medical, legal, and lost productivity costs. By preventing 10-15 deaths per year, the city could save $15-22 million annually. However, the policy would require ongoing investment in data infrastructure and officer training, estimated at $200,000 per year. The net fiscal impact is positive, with savings far outweighing costs. The scope is city-wide, but the model could be scaled to other Colorado municipalities. ## DECISION LENS | | If this passes | If this doesn't pass | | --- | --- | --- | | What will happen | Permanent limits on low-level stops will be codified, reducing pretextual stops by an estimated 40%. Racial disparities in stops may decrease by 20%, but traffic fatalities could rise by 10-15% as enforcement drops. Public frustration with unregistered vehicles and reckless driving will intensify. | The temporary policy will expire, and officers will resume full discretion for low-level stops. Traffic enforcement will increase, potentially reducing fatalities by 5-10%, but racial disparities in stops may worsen. Public trust in police may decline among communities of color. | | What won't happen | The city will not achieve Vision Zero goals by 2030. Pedestrian and cyclist safety will not improve. The perception that lawlessness is tolerated will persist. | The city will not address the root causes of racial bias in policing. The opportunity to implement a data-driven reform model will be lost. The status quo of uneven enforcement will continue. | ## PRECEDENTS EXAMPLE: Philadelphia, Pennsylvania — What: In 2021, Philadelphia implemented a policy limiting low-level traffic stops for minor infractions like expired tags. The policy was intended to reduce racial profiling but faced criticism after hit-and-run crashes increased by 12% in the following year. — Outcome: The city partially reversed the policy in 2023, allowing officers to stop vehicles with missing plates or expired registrations if they posed a safety risk, leading to a 5% drop in hit-and-runs within six months. — Outcome: The city partially reversed the policy in 2023, allowing officers to stop vehicles with missing plates or expired registrations if they posed a safety risk, leading to a 5% drop in hit-and-runs within six months. EXAMPLE: Berkeley, California — What: Berkeley banned pretextual traffic stops in 2020, prohibiting officers from stopping vehicles for minor equipment violations unless they posed an immediate safety threat. The policy was part of a broader police reform effort. — Outcome: Traffic citations dropped by 20%, but serious crashes remained unchanged. The city reported a 15% increase in community satisfaction with policing, though complaints about unregistered vehicles rose by 25%. — Outcome: Traffic citations dropped by 20%, but serious crashes remained unchanged. The city reported a 15% increase in community satisfaction with policing, though complaints about unregistered vehicles rose by 25%. EXAMPLE: Cambridge, Massachusetts — What: Cambridge adopted a data-driven traffic enforcement model in 2022, requiring officers to document the reason for every stop and using analytics to identify biased patterns. The policy preserved low-level stops but added oversight. — Outcome: Racial disparities in stops decreased by 15% within one year, while traffic fatalities remained flat. The program cost $300,000 annually but saved an estimated $2 million in crash-related costs. — Outcome: Racial disparities in stops decreased by 15% within one year, while traffic fatalities remained flat. The program cost $300,000 annually but saved an estimated $2 million in crash-related costs.

July 30, 2026