TY  - JOUR
PY  - 2015//
TI  - Space-time clustering of crime events and neighborhood characteristics in Houston
JO  - Criminal justice review
A1  - Zhang, Yan
A1  - Zhao, Jihong
A1  - Ren, Ling
A1  - Hoover, Larry T.
SP  - 340
EP  - 360
VL  - 40
IS  - 3
N2  - Spatial-temporal interaction analysis is employed to identify repeat and near-repeat patterns of crime in time and space. Most research to date addresses burglary and shooting incidents. Using the Knox method for space-time interaction, this study analyzes crime data in 12 "super neighborhoods" located in Houston's crime-heavy southwest quadrant to explore spatial-temporal clustering of three types of crime, namely, residential burglary, street robbery, and aggravated assault. The findings suggest that each type of crime event has a unique clustering signature. Residential burglaries show significant space-time clustering in a relatively longer time range (up to 90 days) and distance interval (up to 1.55 miles). In contrast, street robberies present significant clustering only up to 6 days and a quarter of a mile. For aggravated assault, the clusters of pairs occur within the interval of 7 days and within a little more than 1 mile of an initial assault. Examination of the socioeconomic characteristics of the neighborhoods indicates that crime events cluster more often in low income and racially/ethnically diverse neighborhoods. Significant spatial correlations of crime clusters are detected. The findings offer insight into potential suppression of crime events that are time and space correlated.<p />  <p>Language: en</p>
LA  - en
SN  - 0734-0168
UR  - http://dx.doi.org/10.1177/0734016815573309
ID  - ref1
ER  -