Remapping gang turf: Math model shows crimes cluster on borders between rivals

For the Criminology study, the team used Lotka–Volterra equations, which were designed to model the population dynamics of species competing for common resources. Since the 1930s, ecologists have used the equations to study the relationships between competing groups as diverse as bee colonies, troops of chimpanzees and prides of lions.


P. Jeffrey Brantingham

A mathematical model that has been used for more than 80 years to determine the hunting range of animals in the wild holds promise for mapping the territories of street gangs, a UCLA-led team of social scientists reports in a new study.

“The way gangs break up their neighborhoods into unique territories is a lot like the way lions or honey bees break up space,” said lead author P. Jeffrey Brantingham, a professor of anthropology at UCLA.

Further, the research demonstrates that the most dangerous place to be in a neighborhood packed with gangs is not deep within the territory of a specific gang, as one might suppose, but on the border between two rival gangs. In fact, the highest concentration of conflict occurs within less than two blocks of gang boundaries, the researchers discovered.

The findings appear online today in Criminology, a peer-reviewed scholarly journal published by the American Society of Criminology, the world’s largest society of scholars conducting research on crime.

“Maps of gang territories provide police with a better understanding of how to allocate resources,” said research co-author George E. Tita, an associate professor of criminology, law and society at UC Irvine. “So figuring out the most accurate approach is really important for effectively deploying law enforcement.”

Currently, law enforcement agencies map gang territories based on police observation of such clues as graffiti and where gang members hang out. In these maps, geographic features like streets, parks and schoolyards typically delineate gang territories.

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Original source.


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