Title :
A decision model for spatial site selection by criminals: a foundation for law enforcement decision support
Author :
Xue, Yifei ; Brown, Donald E.
Author_Institution :
Dept. of Syst. & Inf. Eng., Univ. of Virginia, Charlottesville, VA, USA
Abstract :
Crime analysis uses past crime data to predict future crime locations and times. Typically this analysis relies on hot spot models that show clusters of criminal events based on past locations of these events. It does not consider the decision making processes of criminals as human initiated events susceptible to analysis using spatial choice models. This paper analyzes criminal incidents as spatial choice processes. Spatial choice analysis can be used to discover the distribution of people´s behaviors in space and time. Two adjusted spatial choice models that include models of decision making processes are presented. The comparison results show that adjusted spatial choice models provide efficient and accurate predictions of future crime patterns and can be used as the basis for a law enforcement decision support system. This paper also extends spatial choice modeling to include the class of problems where the decision makers´ preferences are derived indirectly through incident reports rather than directly through survey instruments.
Keywords :
data mining; decision making; decision support systems; law administration; police data processing; crime analysis; criminal incidents; decision making; decision model; feature selection; law enforcement decision support; preference mining; spatial choice models; spatial site selection; Aggregates; Cities and towns; Data analysis; Decision making; Decision support systems; Humans; Instruments; Law enforcement; Pattern analysis; Predictive models;
Journal_Title :
Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on
DOI :
10.1109/TSMCC.2003.809867