Using geographical information systems to organize police patrol routes effectively by grouping hotspots of crash and crime data

Pei-Fen Kuo, Dominique Lord and Troy Duane Walden

Journal of Transport Geography, 2013, vol. 30, issue C, 138-148

Abstract: Applying Data-Driven Approaches to Crime and Traffic Safety (DDACTS) can help police departments allocate limited resources more efficiently. By focusing on hazardous areas, highly visible traffic law enforcement simultaneously can reduce both crime and crashes. Most studies have focused on the reduction of crime and crashes after applying new patrol routes, but few have documented how to improve or change police dispatch time. The objective of this study was to compare the police dispatch time between two conditions: (1) police patrol routes with organized hotspots, and (2) police patrol route patterns without focusing on hotspots. A secondary objective consisted of developing a procedure to describe the calculation of the change in dispatch time.

Keywords: Kernel Density; DDACTS; Hotspots; Cluster pattern; Crash and crime (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jotrge:v:30:y:2013:i:c:p:138-148

DOI: 10.1016/j.jtrangeo.2013.04.006

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