首页> 外文期刊>Journal of studies on alcohol and drugs. >Not in My Back Yard: A Comparative Analysis of Crime Around Publicly Funded Drug Treatment Centers, Liquor Stores, Convenience Stores, and Corner Stores in One Mid-Atlantic City
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Not in My Back Yard: A Comparative Analysis of Crime Around Publicly Funded Drug Treatment Centers, Liquor Stores, Convenience Stores, and Corner Stores in One Mid-Atlantic City

机译:不在我的后院:大西洋中部一个城市的政府资助的毒品治疗中心,酒类商店,便利店和转角商店周围的犯罪比较分析

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Objective: This research examined whether publicly funded drug treatment centers (DTCs) were associated with violent crime in excess of the violence happening around other commercial businesses. Method: Violent crime data and locations of community entities were geocoded and mapped. DTCs and other retail outlets were matched based on a Neighborhood Disadvantage score at the census tract level. Street network buffers ranging from 100 to 1,400 feet were placed around each location. Negative binomial regression models were used to estimate the relationship between the count of violent crimes and the distance from each business type. Results: Compared with the mean count of violent crime around drug treatment centers, the mean count of violent crime (M = 2.87) was significantly higher around liquor stores (M = 3.98; t test; p < .01) and corner stores (M = 3.78; t test; p < .01), and there was no statistically significant difference between the count around convenience stores (M = 2.65; t test; p = .32). In the adjusted negative binomial regression models, there was a negative and significant relationship between the count of violent crime and the distance from drug treatment centers ((3 = -.069, p < .01), liquor stores (beta = -.081, p < .01), corner stores ((3 = -.116, p < .01), and convenience stores ((3 = -.154, p < .01). Conclusions: Violent crime associated with drug treatment centers is similar to that associated with liquor stores and is less frequent than that associated with convenience stores and corner stores.
机译:目的:这项研究检查了公共资助的戒毒中心(DTC)是否与暴力犯罪相关,而这种犯罪超过了其他商业企业周围发生的暴力。方法:对暴力犯罪数据和社区实体的位置进行地理编码和映射。 DTC和其他零售店根据人口普查区域中的Neighbourhood Disadvantage得分进行匹配。在每个位置周围放置了100到1,400英尺不等的街道网络缓冲区。负二项式回归模型用于估计暴力犯罪的数量与每种业务类型之间的距离之间的关系。结果:与毒品治疗中心附近的暴力犯罪的平均计数相比,在酒类商店(M = 3.98; t检验; p <.01)和拐角处(M = 2.87),暴力犯罪的平均计数(M = 2.87)显着更高= 3.78; t检验; p <.01),便利店之间的计数之间没有统计学上的显着差异(M = 2.65; t检验; p = .32)。在调整后的负二项式回归模型中,暴力犯罪数量与距药物治疗中心的距离((3 = -.069,p <.01),酒类商店(beta = -.081)之间存在负显着关系。 ,p <.01),街角商店((3 = -.116,p <.01)和便利店((3 = -.154,p <.01))。结论:与毒品治疗中心相关的暴力犯罪是与酒类商店相关,与便利店和街角商店相关的频率较低。

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