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Data-Informed and Place-Based Violent Crime Prevention: The Kansas City, Missouri Risk-Based Policing Initiative
Police Quarterly ( IF 2.9 ) Pub Date : 2021-03-17 , DOI: 10.1177/10986111211003205
Joel M. Caplan 1 , Leslie W. Kennedy 1 , Grant Drawve 2 , Jonas H. Baughman 3
Affiliation  

The Kansas City, Missouri Police Department sought to reduce violent crime with an evidence-based approach to problem analysis and intervention planning. Informed by hot spot analysis and risk terrain modeling, police and their community partners implemented a place-based crime intervention program focused on key attractors and generators of the environmental backcloth. Target and comparison areas were selected for an outcome evaluation. During the 1-year program time period, violent crimes decreased significantly by over 22%. There was both a significant spatial diffusion of benefits and significantly fewer police officer-initiated actions resulting in arrests or citations. Crime prevention was achieved without an abundance of law enforcement actions against people located at the target areas. Implications for policy and practice are discussed within the contexts of police responses to urgent crime problems and data analytics.



中文翻译:

数据知情和基于地点的暴力犯罪预防:密苏里州堪萨斯城基于风险的警务倡议

密苏里州堪萨斯城警察局试图通过基于证据的问题分析和干预计划来减少暴力犯罪。在热点分析和风险地形建模的指导下,警察及其社区合作伙伴实施了一项以地点为基础的犯罪干预计划,重点关注环境底布的主要吸引者和产生者。选择目标区域和比较区域进行结果评估。在为期1年的计划期内,暴力犯罪大幅下降了22%以上。利益在空间上的扩散很大,而警察采取的行动却很少,从而导致了逮捕或被引用。在没有针对目标地区人民采取大量执法行动的情况下实现了预防犯罪。

更新日期:2021-03-18
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