Communities, Streets, and People: A Multi-level Study of the Correlates of Victimization.
Communities, Streets, and People: A Multi-level Study of the Correlates of Victimization.
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DOI：
10.1080/15564886.2021.2018079
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发表时间：
2022
影响因子：
2.2
通讯作者：
Ready, Justin
中科院分区：
文献类型：
--
作者：
White, Clair;Weisburd, David;Wire, Sean;Dong, Beidi;Ready, Justin
关键词：
目前的研究增加了直接的微地理环境（衡量的街道段）的个人受害的研究。使用住宅调查和物理观测数据收集的449个街道段嵌套在53个社区在巴尔的摩，MD，我们采用多层次逻辑回归模型来研究个人的危险生活方式，街道的微观地理环境，社区水平的措施影响自我报告的财产和暴力犯罪受害。结果证实了以前的研究表明，危险的生活方式发挥了关键作用，在理解财产和暴力犯罪受害，和社区指标的不利发挥了作用，在解释暴力犯罪受害。同时，我们的模型表明，街道段（微观地理）水平增加了显着的解释，我们的受害的理解，这表明三个层次的模型应该用来解释个人受害。对财产犯罪而言，街头犯罪的影响尤为突出。
The current study adds the context of the immediate microgeographic environment (measured as the street segment) to the study of individual victimization. Using residential survey and physical observation data collected on 449 street segments nested within 53 communities in Baltimore, MD, we employ multilevel logistic regression models to examine how individual risky lifestyles, the microgeographic context of the street, and community level measures influence self-reported property and violent crime victimization. Results confirm prior studies that show that risky lifestyles play a key role in understanding both property and violent crime victimization, and community indicators of disadvantage play a role in explaining violent crime victimization. At the same time, our models show that the street segment (micro-geographic) level adds significant explanation to our understanding of victimization, suggesting that three level models should be used in explaining individual victimization. The impact of the street segment is particularly salient for property crime.
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DOI：
10.1177/0022427816680681
发表时间：
2017-03
期刊：
The Journal of research in crime and delinquency
影响因子：
--
作者：
Bernasco W;Ruiter S;Block R
通讯作者：
Block R
影响因子：
3.2
作者：
Andresen, Martin A.;Malleson, Nicolas
通讯作者：
Malleson, Nicolas
影响因子：
5.8
作者：
Bellair, PE
通讯作者：
Bellair, PE
影响因子：
2.1
作者：
Armstrong, Todd A.;Katz, Charles M.;Schnebly, Stephen M.
通讯作者：
Schnebly, Stephen M.
影响因子：
5.8
作者：
Berg, Mark T.;Stewart, Eric A.;Simons, Ronald L.
通讯作者：
Simons, Ronald L.