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Article

English

ID: <

oai:doaj.org/article:d6c20009aee545c3b76ddd7557f92c45

>

·

DOI: <

10.3390/ijgi6030065

>

Where these data come from
Linking Neighborhood Characteristics and Drug-Related Police Interventions: A Bayesian Spatial Analysis

Abstract

This paper aimed to analyze the spatial distribution of drug-related police interventions and the neighborhood characteristics influencing these spatial patterns. To this end, police officers ranked each census block group in Valencia, Spain (N = 552), providing an index of drug-related police interventions. Data from the City Statistics Office and observational variables were used to analyze neighborhood characteristics. Distance to the police station was used as the control variable. A Bayesian ecological analysis was performed with a spatial beta regression model. Results indicated that high physical decay, low socioeconomic status, and high immigrant concentration were associated with high levels of drug-related police interventions after adjustment for distance to the police station. Results illustrate the importance of a spatial approach to understanding crime.

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