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The practice of proactive traffic stops

机译：积极交通停止的做法

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Purpose Empirical research suggests that traffic enforcement is the most common type of proactive activity police officers engage in on a daily basis. Further, agencies often use traffic enforcement to achieve both traffic safety and crime control. Given these goals, the purpose of this paper is to investigate whether (and to what extent) officers are accurately targeting their proactive traffic enforcement with crime and vehicle crashes in two agencies. Design/methodology/approach The study examines traffic enforcement patterns in two agencies to see whether proactive traffic enforcement aligns spatially with crime and vehicle crashes. This study employs negative binomial regression models with clustered standard errors to investigate this alignment at the micro-spatial level. Key variables of interest are measured with police calls for service data, traffic citation data and vehicle crash data from two law enforcement jurisdictions. Findings High levels of spatial association are observed between traffic accidents and crime in both agencies, lending empirical support to the underlying theories of traffic enforcement programs that also try to reduce crime (i.e. "DDACTS"). In both agencies, traffic accidents also appear to be the most prominent predictor of police proactive traffic enforcement activities, even across different times of day. However, when vehicle crashes are accounted for, the association between crime and traffic stops is weaker, even during times of day when agencies believe they are using proactive traffic enforcement as a crime deterrent. Originality/value No prior study to authors knowledge has examined the empirical association between police proactive traffic activities and crime and traffic accidents in practice. The current study seeks to fill that void by investigating the realities of traffic stops as practiced daily by police officers, and their alignment with crime and vehicle crashes. Such empirical inquiry is especially important given the prevalent use of traffic enforcement as a common proactive policing tool by police agencies to control both traffic and crime problems.
机译：目的实证研究表明，交通执法是最常见的主动活动警察每天参与。此外，机构经常使用行政执行，实现交通安全和犯罪控制。鉴于这些目标，本文的目的是调查是否（以及在多大程度上）官员是否准确地定位其在两个机构中犯罪和车辆崩溃的主动交通执法。设计/方法/方法该研究审查了两个机构中的交通执法模式，看看主动交通执法是否与犯罪和车辆崩溃在空间上对齐。本研究采用负二项式回归模型，具有集群标准误差，以研究微空间水平的这种对准。利息的关键变量由警方呼吁进行服务数据，交通引文数据和来自两项执法司法管辖区的行动数据和车辆崩溃数据。在两家机构的交通事故和犯罪之间观察到高水平的空间协会，向交通执法方案的基础理论借鉴经验支持，这也试图减少犯罪（即“Ddacts”）。在这两个机构中，交通事故也似乎是警察主动行动行动活动最突出的预测因子，即使在不同的一天中也是如此。然而，当车辆撞车犯罪时，犯罪和交通停止之间的关联是较弱的，即使在机构认为他们正在使用主动交通执照作为犯罪威慑时，即使是在一天中的次数也是较弱的。关于作者知识的原创性/价值没有研究过，在实践中审查了警察积极的交通活动和犯罪和交通事故之间的实证协会。目前的研究旨在通过调查每天由警察练习的交通停止现实以及与犯罪和车辆崩溃的一致性来填补空白。由于警察机构作为一个共同的主动警务工具，这些经验查询尤为重要，以控制交通和犯罪问题。

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