Next Article in Journal
A Data Augmentation Strategy Based on Simulated Samples for Ship Detection in RGB Remote Sensing Images
Next Article in Special Issue
Traffic Accident Spatial Simulation Modeling for Planning of Road Emergency Services
Previous Article in Journal
A New Agent-Based Methodology for the Seismic Vulnerability Assessment of Urban Areas
Previous Article in Special Issue
An Assessment of Police Officers’ Perception of Hotspots: What Can Be Done to Improve Officer’s Situational Awareness?
Open AccessArticle

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

Department of Geography & Geosciences, University of Louisville, Louisville, KY 40292, USA
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(6), 275; https://doi.org/10.3390/ijgi8060275
Received: 15 May 2019 / Revised: 5 June 2019 / Accepted: 11 June 2019 / Published: 13 June 2019
(This article belongs to the Special Issue Urban Crime Mapping and Analysis Using GIS)
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. View Full-Text
Keywords: Gun violence; gunshot detection technology (GDT); neat repeat; hot spots; under reporting; and spatial regression Gun violence; gunshot detection technology (GDT); neat repeat; hot spots; under reporting; and spatial regression
Show Figures

Graphical abstract

MDPI and ACS Style

Renda, W.; Zhang, C.H. Comparative Analysis of Firearm Discharge Recorded by Gunshot Detection Technology and Calls for Service in Louisville, Kentucky. ISPRS Int. J. Geo-Inf. 2019, 8, 275.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop