Purpose

Real-Time Crime Centers (RTCCs) integrate a variety of technologies and information with the goal of helping police to more efficiently identify and respond to crime. A growing number of law enforcement agencies have implemented RTCCs in recent years, but few studies have evaluated their impact on crime control or investigative outcomes. This study uses a quasi-experimental design to examine whether RTCCs improve rates of case clearance for violent, property, and overall crime in Chicago, IL.

Methods

RTCCs were established in different police districts over the course of a three-year period. Difference-in-differences estimation with Poisson panel regression models are used to estimate the effect of RTCCs on case clearance, while controlling for other policing factors and neighborhood characteristics that may influence case clearance at the district level.

Results

On average, RTCCs were associated with a 5% increase in clearance rates for violent crime (IRR = 1.05, p = .004), a 12% increase for property crime (IRR = 1.12, p = .003), and an 11% increase for overall crime (IRR = 1.11, p < .001). These findings were robust across various model specifications.

Conclusions

RTCCs may provide investigative benefits to police through the integration of technologies and data, thus enhancing case solvability.

中文翻译：

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实时犯罪中心能否提高案件侦破速度？对芝加哥战略决策支持中心的考察

目的

实时犯罪中心 (RTCC) 集成了各种技术和信息，旨在帮助警方更有效地识别和应对犯罪。近年来，越来越多的执法机构实施了 RTCC，但很少有研究评估其对犯罪控制或调查结果的影响。本研究采用准实验设计来检验 RTCC 是否可以提高伊利诺伊州芝加哥市暴力犯罪、财产犯罪和整体犯罪案件的破案率。

方法

RTCC 历时三年在不同警区建立。使用泊松面板回归模型的双重差分估计用于估计 RTCC 对案件清除的影响，同时控制可能影响地区一级案件清除的其他警务因素和社区特征。

结果

平均而言，RTCC 与暴力犯罪破案率增加 5%（IRR = 1.05，p  = .004）、财产犯罪破案率增加 12%（IRR = 1.12，p  = .003）以及 11%相关。总体犯罪率增加（IRR = 1.11，p  < .001）。这些发现在各种模型规格中都是稳健的。

结论

RTCC 可以通过技术和数据的整合为警方提供调查服务，从而提高案件的解决能力。