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Crime Geosurveillance in Microscale Urban Environments: NetSurveillance

Research output: Contribution to journalArticle

Shino Shiode, Narushige Shiode

Original languageEnglish
JournalAnnals of the American Association of Geographers
Early online date28 Jan 2020
DOIs
Publication statusE-pub ahead of print - 28 Jan 2020

King's Authors

Abstract

Events and phenomena such as crime incidents and outbreak of an epidemic tend to form concentrations of high risk known as hotspots. Geosurveillance is an increasingly popular notion for detecting and monitoring the emergence of and changes in hotspots. Yet the existing range of methods is not designed to accurately detect emerging risks at the microscale of street address level. This study proposes NetSurveillance, a method for monitoring the emergence of significant concentrations of events along the intricate network of urban streets. Through a simulation test, the study demonstrates the high accuracy of NetSurveillance in detecting such clusters, outperforming its conventional counterpart conclusively when applied at the individual street address level. Empirical analysis of drug incidents from Chicago also illustrates its capacity to identify rapid outbursts of crimes as well as a more gradual buildup of such a concentration, and their disappearance, either as a one-off or as part of a recurrent hotbed.

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