Models confirmed links of focal jurisdiction socioeconomic status and residential stability with sub-region classification. Models with spatially lagged predictors show powerful impacts of spatially lagged racial composition. Findings extend work on racial concentration effects and the basic systemic model to metropolitan sub-regions. Implications for shifting spatial inequalities in metropolitan structure and questions about responsible dynamics merit attention. A LISA analysis was used to identify violent crime clusters for 355 jurisdictions in the Philadelphia (PA)-Camden (NJ) primary metropolitan area over a 9-year period. Multinomial logit hierarchical/mixed effects models were used to predict cluster classification using focal and lagged structural covariates. (Publisher abstract modified)
Metropolitan Local Crime Clusters: Structural Concentration Effects and the Systemic Model
NCJ Number
249377
Journal
Journal of Criminal Justice Volume: 43 Issue: 3 Dated: June 2015 Pages: 186-194
Date Published
June 2015
Length
9 pages
Annotation
Using community structure and the racial-spatial divide as a framework, this study examined whether geographic sub-regions of violent crime existed in a large metropolitan area, and whether the systemic model of crime can predict them; in addition, surrounding social structure measures were included to determine whether they demonstrate the same violent crime links seen in recent work on concentration impacts.
Abstract
Date Published: June 1, 2015