RT Article
T1 Understanding the Predictors of Street Robbery Hot Spots: A Matched Pairs Analysis and Systematic Social Observation
JF Crime & delinquency
VO 67
IS 9
SP 1319
OP 1352
A1 Connealy, Nathan T.
LA English
YR 2021
UL https://krimdok.uni-tuebingen.de/Record/1764034546
AB This study examines the environmental predictors that classify street robbery hot spots and control street segments in Indianapolis. Empirical controls were generated by matching each hot spot to a corresponding set of zero-crime control and low-crime control units. Then, units were evaluated based on the presence of crime generators and attractors, which were downloaded from open data sources and spatially joined to the street segments, and disorder indicators obtained via systematic social observation using Google Street View. The findings provide information about the influence environmental predictors have on the presence of street robbery hot spots, and whether the composition of hot spots significantly differs from that of similar places that experienced no crime or low counts of crime.
K1 Environmental Criminology
K1 Hot Spots
K1 Propensity score matching
K1 Quasi-experiment
K1 Systematic Social Observation
DO 10.1177/0011128720926116