原文传递 Combating Auto Theft in Arizona: A Randomized Experiment with License Plate Recognition Technology
题名: Combating Auto Theft in Arizona: A Randomized Experiment with License Plate Recognition Technology
作者: Taylor, B.; Koper, C.; Woods, D.
关键词: Auto theft##License plates##Arizona##Motor vehicles##Theft##Crimes##Law enforcement##Stolen vehicles##Theft prevention##High-speed cameras##License Plate Recognition Technology (LPRT)##Randomized field experiments##
摘要: License Plate Recognition Technology (LPR) is a relatively new tool for law enforcement that reads license plates on vehicles using a system of algorithms, optical character recognition, cameras, and databases. Through high-speed camera systems mounted on police cars or at fixed locations, LPR systems scan license plates in real time, and compare them against databases of stolen vehicles, as well as vehicles connected to fugitives or other persons of interest, and alert police personnel to any matches. Although the use of LPR technology is extensive in the United Kingdom and becoming more prevalent in the United States, research on LPR effectiveness is very limited, particularly with respect to how LPR use affects crime. This report presents results from a randomized field experiment with LPRs conducted by the Police Executive Research Forum and the Mesa, Arizona Police Department (MPD) to target the problem of auto theft. The experiment sought to determine whether and to what extent LPR use improves the ability of police to recover stolen cars, apprehend auto thieves, and deter auto theft. We did this by examining the operations of a specialized 4-car MPD auto theft unit that worked in auto theft hot spots over a period of time both with and without LPR devices.
总页数: 72
报告类型: 科技报告
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