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Data-informed crime prevention at convenience stores in Atlantic City
Journal article   Open access   Peer reviewed

Data-informed crime prevention at convenience stores in Atlantic City

Joel M Caplan
Police practice and research
2021

Abstract

Hot Spot Mapping Risk Terrain Modeling Police Crime Prevention Violence
The Atlantic City Police Department intervened to reduce robberies with an evidence-based approach. 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 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.
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https://www.tandfonline.com/doi/full/10.1080/15614263.2021.1917399View
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