Kuritegevuse paikneme, ümberpaiknemine, hajusus, kontsentratsioon jms on kriminoloogia (ja nt sotsiaalpsühholoogia, valitsemise, jt) valdkondade kesksete uurimisteemade nimistus alati kõrgel kohal. Siin üks artikkel, kus demonstreeritakse Gini kordaja kasutamist kuritegevuse paiknemise määratlemisel. Gini kordaja on ühiskonna tulude jaotuse ebavõrdsuse näitaja. Mida suurem on Gini kordaja, seda ebavõrdsem on tulude jaotus. (vt riikide võrdlust näiteks siit)

Konteksti avamisel märgitakse:

Taken as a whole, the substantial geographic concentration of crime suggests that the social and physical features of the urban landscape might potentially play an important role in the crime production function and therefore that crime hot spots are an appropriate target over which a social planner can focus resources and ultimately intervene.

Seosed varasemate uuringutega:

Weisburd further notes the extent to which crime is concentrated among the most crime-ridden street segments is remarkably consistent across cities and proposes that this empirical regularity is sufficiently strong to be characterized as a “law of crime concentration.”

PS! Vt David Weisburd’i tekste nt siit ja üht huvitavat kommentaari siit.

Artikli ambtitsioon:

In this article, we propose a different way to measure crime concentration that is simple, easily interpreted and which fully addresses the concerns outlined above. In particular, we compare actual concentration – for instance, the share of street segments accounting for 25 percent or 50 percent of the crimes – to a counterfactual level of crime concentration that is constructed by randomly assigning crimes to street segments, with replacement.

Mõned järeldused:

Our proposed solution – comparing the actual distribution of crimes to a distribution of crimes under the randomization with replacement – allows us to generate a corrected measure of crime concentration that is robust to problems posed by sparse crime data. […] we present a graphical representation of marginal crime concentration that offers a more interpretable analog to the Gini coefficient. […] we find considerable evidence that crimes are concentrated among the cities we study and, accordingly, we provide additional support for the law of crime concentration.

Chalfin, A., Kaplan, J., & Cuellar, M. (2021). Measuring Marginal Crime Concentration: A New Solution to an Old Problem. Journal of Research in Crime and Delinquency, 58(4), 467–504. https://doi.org/10.1177/0022427820984213