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Data-informed crime prevention at convenience stores in Atlantic City
Police Practice and Research Pub Date : 2021-04-19 , DOI: 10.1080/15614263.2021.1917399
Leslie W. Kennedy 1 , Joel M. Caplan 1 , Grant Drawve 2
Affiliation  

ABSTRACT

The Atlantic City Police Department intervened to reduce robberies with an evidence-based approach grounded in problem-oriented policing. Informed by risk terrain modeling and hot spot analysis, police commanders implemented a place-based intervention focused around convenience stores. Target areas throughout the city were reprioritized each month to create a dynamic deployment strategy that efficiently allocated resources to the most vulnerable places. Risk reduction actions, such as business checks, were favored over law enforcement against people. Robberies significantly decreased by 63% within four months. There was a significant spatial diffusion of benefits and there were fewer arrests, as should be expected with fewer crimes and a tactical place-based, not person-oriented, approach. Implications for policy and practice are discussed within the contexts of rapid evidence-based police responses to urgent crime problems, police culture, and data analytics.



中文翻译:

大西洋城便利店的数据知情犯罪预防

摘要

大西洋城警察局采用以问题为导向的警务为基础的循证方法进行干预,以减少抢劫。根据风险地形建模和热点分析,警察指挥官实施了以便利店为中心的基于地点的干预措施。整个城市的目标区域每个月都会重新划分优先级,以创建动态部署策略,将资源有效地分配到最脆弱的地方。降低风险的行动,例如业务检查,比针对人的执法更受青睐。抢劫案在四个月内显着减少了 63%。福利的空间分布显着,逮捕人数减少,正如预期的那样,犯罪减少和基于地点的战术方法,而不是以人为导向的方法。

更新日期:2021-04-19
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