Linking Neighborhood Characteristics and Drug-Related Police Interventions: A Bayesian Spatial Analysis

ISPRS International Journal of Geo-Information

Miriam Marco¹  Enrique Gracia¹  Antonio López-Quílez² 

[1] Department of Social Psychology, University of Valencia, Avda. Blasco Ibáñez, 21, 46010 Valencia, Spain;Department of Statistics and Operations Research, University of Valencia, Dr. Moliner, 50, Burjassot, 46100 Valencia, Spain;

关键词: drug-related police interventions;    neighborhoods;    Bayesian spatial modeling;    small-area variations;    risk maps;   

DOI  :  10.3390/ijgi6030065

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown