Objective The current study proposes unique methods for apportioning existing census data in blocks to street segments and examines the effects of structural characteristics of street segments on crime. Also, this study tests if the effects of structural characteristics of street segments are similar with or distinct from those of blocks. Methods This study compiled a unique dataset in which block-level structural charac- teristics are apportioned to street segments utilizing the 2010 U.S. Census data of the cities of Anaheim, Santa Ana, and Huntington Beach in Orange County, California. Negative binomial regression models predicting crime that include measures of social disorgani- zation and criminal opportunities in street segments and blocks were estimated. Results The results show that whereas some of the coefﬁcients tested at the street segment level are similar to those aggregated to blocks, a few were quite different (most notably, racial/ethnic heterogeneity). Additional analyses conﬁrm that the imputation methods are generally valid compared to data actually collected at the street segment level. Conclusions The results from the street segment models suggest that the structural characteristics from social disorganization and criminal opportunities theories at street segments may operate as crucial settings for crime. Also the results indicate that
Journal of Quantitative Criminology – Springer Journals
Published: Sep 23, 2016
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