智能手机数据揭示了社区警察存在的种族差异

M. Keith Chen, Katherine L. Christensen, Elicia John, Emily Owens, Yilin Zhuo
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引用次数: 2

摘要

对警务的研究主要集中在记录在案的行动,如拦截和逮捕,而对巡逻和存在的了解较少。我们利用匿名智能手机数据绘制了美国21个最大城市近万名警官的社区活动地图。黑人居民每增加一个百分点,警察在社区的时间就会增加0.36%。在控制了人口密度、社会经济和犯罪驱动的治安需求之后,这种社区层面的差距仍然存在,在黑人警察主管(但不是警察)较多的城市,这种差距可能会更小。从统计数据来看,警察存在的模式解释了黑人社区57%的高逮捕率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smartphone Data Reveal Neighborhood-Level Racial Disparities in Police Presence
Abstract Research on policing has focused on documented actions such as stops and arrests—less is known about patrols and presence. We map the neighborhood movement of nearly ten thousand officers across 21 of America's largest cities using anonymized smartphone data. Police spend 0.36% more time in neighborhoods for each percentage point increase in Black residents. This neighborhood-level disparity persists after controlling for density, socioeconomic, and crime-driven demand for policing, and may be lower in cities with more Black police supervisors (but not officers). Patterns of police presence statistically explain 57% of the higher arrest rate in more Black neighborhoods.
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