Department of Geography and Regional Studies, University of Miami, 1300 Campo Sano Ave, Coral Gables, FL, 33124, United States.
Health Place. 2020 Sep;65:102407. doi: 10.1016/j.healthplace.2020.102407. Epub 2020 Sep 10.
This study uses arrest data from the Miami-Dade County Police Department (n = 13 districts) for 2014-2017 to identify census tracts in which weapon violence arrests among young people aged 10-24 is high, and models area-level predictors of the total number of violent weapons crimes by census tract (greenness and socioeconomic status indices, population density and weapon dealers), after adjusting for arrestee-level factors (age, race and gender). Combined, handguns and firearms accounted for 23.2% (n = 1330) of all arrests (including murder and non-negligent manslaughter, rape, robbery, and aggravated assault). Arrests for weapon -related violent crime are concentrated in census tracts located in the north and south neighborhoods of Miami-Dade County. Findings indicate that arrestee factors and a neighborhood greenness index are more important than population density, weapon dealers and poverty in predicting arrests for weapon-related violent crime at the census tract level.
本研究使用 2014-2017 年迈阿密戴德县警察局(n=13 个区)的逮捕数据,确定年轻人(10-24 岁)之间武器暴力逮捕率高的普查区,并建立模型,预测普查区暴力武器犯罪总数的区域水平预测因素(绿化和社会经济地位指数、人口密度和武器贩子),同时调整被捕者水平的因素(年龄、种族和性别)。综合来看,手枪和枪支占所有逮捕案件的 23.2%(n=1330)(包括谋杀和非过失杀人、强奸、抢劫和严重攻击)。与武器相关的暴力犯罪的逮捕案件主要集中在迈阿密戴德县北部和南部社区的普查区。调查结果表明,在预测与武器相关的暴力犯罪的逮捕案件时,被捕者因素和邻里绿化指数比人口密度、武器贩子和贫困更为重要。