RT Article
T1 Communities, Streets, and People: A Multi-level Study of the Correlates of Victimization
JF Victims & offenders
VO 17
IS 8
SP 1116
OP 1146
A1 Uding, Clair
A2 Weisburd, David 1954-
A2 Wire, Sean
A2 Dong, Beidi
A2 Ready, Justin
LA English
YR 2022
UL https://krimdok.uni-tuebingen.de/Record/1823691161
AB 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.
K1 Victimization
K1 street segments
K1 Concentrated disadvantage
K1 Routine Activities
K1 Risky lifestyles
K1 Microgeographic places
DO 10.1080/15564886.2021.2018079