RT Article
T1 Understanding the Multi-level Interactions Between Physical Environment and Neighborhood Characteristics in Assessing Vulnerability to Crime in Micro-places
JF Crime & delinquency
VO 68
IS 11
SP 1923
OP 1947
A1 Dugato, Marco
LA English
YR 2022
UL https://krimdok.uni-tuebingen.de/Record/1839616512
AB Spatial crime risk assessment is based on the identification of the environmental conditions that could facilitate crime. Previous applications of this approach mainly rely on single-level analyses neglecting that different contextual factors are likely to influence crime at different geographical levels and to interact with one another in defining crime risk. This study proposes to innovate this approach by using a multi-level analysis and estimating the interaction terms among environmental features and neighborhood characteristics. An empirical test is conducted in a large urban area. The results prove that this method significantly increases the predictive capacity and favors more complete interpretations of the underlying criminogenic mechanisms, thus orienting more effective consequential actions.
K1 RTM
K1 Predictive Policing
K1 Social Disorganization
K1 Spatial Analysis
K1 Urban Crime
DO 10.1177/00111287211035984