At the intersection: Race, gender, and discretion in police traffic stop outcomes

Author(s):  
Kevin Roach ◽  
Frank R. Baumgartner ◽  
Leah Christiani ◽  
Derek A. Epp ◽  
Kelsey Shoub

Abstract Racial disparities in traffic stop outcomes are widespread and well documented. Less well understood is how racial disparities may be amplified or muted in different contexts. Here we focus on one such situational factor: whether the initial traffic stop was related to a traffic safety violation or a (broadly defined) investigatory purpose. This is a salient contextual characteristic as stop type relates to different levels of assumed discretion and purpose. While all traffic stops involve some officer discretion, investigatory stops are more easily used as justifications to conduct a search based on an officer's diffuse suspicion; traffic safety stops are more often just what they seem. Using millions of traffic stops from several states, we show that black male drivers are more likely to be searched and less likely to be found with contraband and that this relationship is amplified where the initial stop purpose is investigatory. One implication of this is that one path to alleviating disparities in traffic stops for agencies is emphasizing traffic safety, rather than using stops as a supplemental investigatory tool.

2021 ◽  
Author(s):  
Pierce D. Ekstrom ◽  
Joel Michel Le Forestier ◽  
Calvin K. Lai

Disparities in the treatment of Black and White Americans in police stops are pernicious and widespread. We examine racial disparities in police traffic stops by leveraging data on traffic stops from hundreds of U.S. counties from the Stanford Open Policing Project and corresponding county-level data on implicit and explicit racial attitudes from the Project Implicit research website. We find that Black-White traffic stop disparities are associated with county-level implicit and explicit racial attitudes and that this association is attributable to racial demographics: counties with a higher proportion of White residents had larger racial disparities in police traffic stops. We also examined racial disparities in several post-stop outcomes (e.g., arrest rates) and found that they were not systematically related to racial attitudes, despite evidence of disparities. These findings indicate that racial disparities in counties’ traffic stops are reliably linked to counties’ racial attitudes and demographic compositions.


Author(s):  
Megan Welsh ◽  
Joshua Chanin ◽  
Stuart Henry

Abstract Racial disparities in police-community encounters are well documented, with people of color experiencing higher levels of police scrutiny. Far less is known about how police officers perceive the racial dynamics at play in their work. As part of a 2016 study of traffic stops in San Diego, we conducted in-depth interviews with 52 city police officers. Despite evidence of racial disparities in SDPD practices related to post-stop outcomes, officers denied, minimized, or even condemned racial profiling during traffic stops; officers described operating under a neutral policy of “colorblindness.” Our analysis identifies cognitive and discursive mechanisms which explain this complex and contradictory picture. We find that officers’ accounts excuse, justify, or otherwise negate the role of race in routine police work, yet officers’ thoughts and actions are based on racialized and, at times, dehumanizing narratives about people and communities of color. These morally neutral accounts form a pattern of micro-racialized discourse, constituting a layering of racialized processes and practices that cumulatively produce racially disparate outcomes. We argue that rejection of explicit racism alone is insufficient to address the progressive micro-racial aggression that emerges at key points during police-community encounters. We discuss the implications for law enforcement policy and practice.


2016 ◽  
Vol 52 (2) ◽  
pp. 207-235 ◽  
Author(s):  
Prudence L. Carter ◽  
Russell Skiba ◽  
Mariella I. Arredondo ◽  
Mica Pollock

Racial/ethnic stereotypes are deep rooted in our history; among these, the dangerous Black male stereotype is especially relevant to issues of differential school discipline today. Although integration in the wake of Brown v. Board of Education was intended to counteract stereotype and bias, resegregation has allowed little true integration. Thus, old patterns continue to be reinforced through the ongoing processes of implicit bias, micro-aggression, and colorblindness. Thus, to effectively address inequity, the role of race must be explicitly acknowledged in addressing racial disparities in discipline. We close with a set of recommendations for talking about and acting on racial disparities.


2012 ◽  
Vol 2012 ◽  
pp. 1-18 ◽  
Author(s):  
Rami Harb ◽  
Essam Radwan ◽  
Vinayak V. Dixit

Traffic safety and mobility of roadway work zones have been considered to be one of the major concerns in highway traffic safety and operations in Florida. Dynamic lane merging (DLM) systems—ITS-based lane management technology—were introduced by several states in an attempt to enhance both safety and mobility of roadway work zones. Two forms of lane merging, namely, the early merge and the late merge were designed to advise drivers on definite merging locations. Up to date, there are no studies that contrast both merging schemes under matching work zone settings. This study simulates a two-to-one work zone lane closure configuration under three different Maintenance of Traffic (MOT) plans in VISSIM. The first MOT is the conventional plans used in Florida’s work zones, the second MOT is a simplified dynamic early merging system (early SDLMS), and the third MOT is a simplified dynamic late merging systems (late SDLMSs). Field data was collected to calibrate and validate the simulation models. Simulation results indicated that overall, under different levels of drivers’ compliance rate and different percentages of trucks in the traffic composition, the early SLDMS outperformed the conventional MOT and the late SDLMS in terms of travel times and throughputs.


2005 ◽  
Vol 35 (2) ◽  
pp. 244-269 ◽  
Author(s):  
Anesh Sukhai ◽  
Mohamed Seedat ◽  
Esmé Jordaan ◽  
Debra Jackson

Road rage and aggressive driving behaviours are reported to be huge public problems. There is a paucity of scientific South African data on driver aggression. Accordingly, a cross-sectional descriptive study was undertaken to determine the nature, extent and profile of aggressive and other hazardous road behaviours. The different categories of aggressive road behaviours were located on a continuum comprising four levels. Together with other hazardous driving behaviours, they were measured using a modified semantic differential on a scale of 1 to 10. Additionally, multiple linear regression modelling was used to identify various predictor variables for the different levels of aggressive road behaviour. The high prevalence data as well as many of the predictors of aggressive road behaviours that were found in the study are consistent with international findings. The utility of the data is discussed as part of a recommended ecological and health promotion approach for the prevention of aggressive road behaviours.


2017 ◽  
Vol 114 (25) ◽  
pp. 6521-6526 ◽  
Author(s):  
Rob Voigt ◽  
Nicholas P. Camp ◽  
Vinodkumar Prabhakaran ◽  
William L. Hamilton ◽  
Rebecca C. Hetey ◽  
...  

Using footage from body-worn cameras, we analyze the respectfulness of police officer language toward white and black community members during routine traffic stops. We develop computational linguistic methods that extract levels of respect automatically from transcripts, informed by a thin-slicing study of participant ratings of officer utterances. We find that officers speak with consistently less respect toward black versus white community members, even after controlling for the race of the officer, the severity of the infraction, the location of the stop, and the outcome of the stop. Such disparities in common, everyday interactions between police and the communities they serve have important implications for procedural justice and the building of police–community trust.


2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Mike Dolan Fliss ◽  
Frank Baumgartner ◽  
Paul Delamater ◽  
Steve Marshall ◽  
Charles Poole ◽  
...  

Author(s):  
Yu Zang ◽  
Wei ShangGuan ◽  
Bai-Gen Cai ◽  
Hua-Shen Wang ◽  
Lovlesh Kaushik ◽  
...  

The on-board system is the core part of a train control system that ensures traffic safety and improves operational efficiency. At present, fault data processing methods for on-board systems do not show the degradation of components, subsystems, or the system over time, but only focus on identifying faults after a failure has occurred, so fault prognosis cannot be realized. This paper applies a multilevel flow model based on system-level failure mode and effect analysis. The model defines the primary and secondary alarms, divides the failure modes into different levels, and ranks the risk priority numbers at different levels. The Balise transmission system is then used as an example to demonstrate the system-level fault prognosis methodology, and the variables from different levels are combined through the component model, subsystem model, and system model. The results are verified according to the actual operation manual.


2021 ◽  
Author(s):  
Marleen Stelter ◽  
Iniobong Essien ◽  
Carsten Sander ◽  
Juliane Degner

Racial disparities in policing are well documented, but the reasons for such disparities are often debated. The current research weighs in on this debate using a regional-level bias framework: We investigate the link between racial disparities in police traffic stops and regional-level racial bias, employing data from over 130 million police traffic stops in 1,413 US counties and county-level measures of racial bias from over 2 million online participants. Compared to county demographics, Black drivers were stopped at disproportionate rates in the majority of counties. Crucially, disproportionate stopping of Black drivers was higher in counties with higher levels of racial prejudice by White residents (rs = 0.07 -0.36). Furthermore, county-level aggregates of Whites’ threat-related stereotypes were less consistent in predicting disproportionate stopping (rs = 0.00 -0.19). These observed relationships between regional-level bias and racial disparities in policing highlight the importance of context in which police operate.


Sign in / Sign up

Export Citation Format

Share Document