Comparative Analysis of Firearm Discharge Recorded by Gunshot Detection Technology and Calls for Service in Louisville, Kentucky

Abstract

Gunshot detection technology (GDT) has been increasingly adopted by law enforcement agencies to tackle the problem of underreporting of crime via 911 calls for service, which undoubtedly affects the quality of crime mapping and spatial analysis. This article investigates the spatial and temporal patterns of gun violence by comparing data collected from GDT and 911 calls in Louisville, Kentucky. We applied hot spot mapping, near repeat diagnosis, and spatial regression approaches to the analysis of gunshot incidents and their associated neighborhood characteristics. We observed significant discrepancies between GDT data and 911 calls for service, which indicate possible underreporting of firearm discharge in 911 call data. The near repeat analysis suggests an increased risk of gunshots in nearby locations following an initial event. Results of spatial regression models validate the hypothesis of spatial dependence in frequencies of gunshot incidents and crime underreporting across neighborhoods in the study area, both of which are positively associated with proportions of African American residents, who are less likely to report a gunshot. This article adds to a growing body of research on GDT and its benefits for law enforcement activity. Findings from this research not only provide new insights into the spatiotemporal aspects of gun violence in urban areas but also shed light on the issue of underreporting of gun violence.

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“…Because firearm incidents in which no injury or fatality occurred are less likely to be captured [14], the dependent variable consists of any and all firearm incidents in which one or more persons were wounded or killed (including domestic violence incidents, interand intra-racial crimes, etc.) that occurred within the three cities.…”

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“…Finally, a regional study by [18] for Louisville, KY (USA), investigates differences in space and time locations between gunshot detection technology (GDT) data and 911 calls for gun violence. The two datasets are depicted through methods, such as hot spot mapping, near repeat diagnosis, and (spatial) regression, including ordinary least squares (OLS) and spatial lag models based on neighborhood characteristics derived from theorical criminology.…”