Modesto Sees Double-Digit Drop in Property Crime with PredPol
Predictive Policing in Modesto
Modesto police officials say they’ve seen a double-digit drop in burglaries, robberies and vehicle thefts in the past 10 months, and they credit the department’s new policing strategies for the city’s lowest property crime rates in three years.
Modesto sees double-digit drop in property crimes – lowest in three years http://t.co/xqoiOcWk2Y
— The Modesto Bee (@modbee) November 12, 2014
This year, Modesto has had a 20 percent reduction in home burglaries, a 13 percent reduction in commercial thefts, a 12 percent reduction in vehicle thefts, an 11 percent reduction in robberies and a 5 percent reduction in larceny.
“We are determined to drive down crime in Modesto by being more strategic with our resources and more engaged with our community, despite the fact that we’ve had a 25percent reduction in patrol staff and hefty budget cuts over the last year,” said Police Chief Galen Carroll in a news release.
The department has been using predictive policing data, trying to learn about areas hit by crime and when to patrol those areas. Police have combined that predictive policing with improving dialogue with Modesto residents through one-on-one conversations, social media and town hall meetings.
The predictive policing software uses statistics and mathematical modeling to predict where crimes are likely to occur, down to an area as small as 500 by 500 feet. The software also is being used in such cities as Seattle and Los Angeles.
“With fewer resources at our disposal, we are fortunate to be able to better pinpoint where crime is likely to occur,” Capt. Rick Armendariz said in the news release. “We are finding we are now more often in the right place at the right time.”
The department began using the predictive policing software, called PredPol, in January. Police officials wanted to identify where to strategically deploy officers in the places and at the times crimes are most likely to occur.
The software helps analysts and officers determine areas with the highest probability of a crime occurring, using an algorithm based on the location, time and date of past crimes. Police officials said it does not include any information about individuals or demographic groups.
Jeff Brantingham is a co-founder of PredPol and an anthropology professor specializing in criminology at UCLA. He said in the news release that there is no single strategy that can eliminate crime altogether, but dozens of cities in the country are using predictive analytics to reduce crime and improve safety.
“We’re pleased, but not surprised with the results, as they are mirroring what we are seeing in other communities across the nation,” Brantingham said about the recent decline in Modesto crime.