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Accounting for Socio-Economic Context in Quantifying the Attractive and Repellent Influence of Built Environment on Firearms Violence in Multiple Cities.

Authors :
Muggy, Luke
Griswold, Max
Nekoul, Florentine Eloundou
McKenna, Sean
Smart, Rosanna
Hunt, Priscillia
Source :
Journal of Quantitative Criminology; Mar2024, Vol. 40 Issue 1, p1-32, 32p
Publication Year :
2024

Abstract

Objectives: The objective of this paper is to improve understanding of the spatial relationship of the built environment (BE) with urban gun crime and how the influence of environmental features varies across geographic location and socioeconomic context. Specifically, we analyze associations between incidents of reported firearms violence and distance to built environment features, accounting for neighborhood socio-economic status. Methods: This study compares reported crime data with the outputs from a Monte Carlo Simulation using the Network Cross-K Function for Stochastic Spatial Events on street networks. Where data is available, we examine ten features—transit stations, universities/colleges, convenience stores, gas stations, liquor licenses, alcohol outlets, tobacco retailers, lodging, restaurants, and schools—across diverse metropolitan areas to uncover features that exert "attractive" or "repellent" influence on firearms violence. We present results from four U.S. cities and examine how results vary by socio-economic status of census tracts. Results: Attractive features include tobacco retailers in Pittsburgh, hotels/motels, alcohol outlets, and restaurants in New Orleans, and rail transit stations in Los Angeles. We uncover localized attractive and repellent relationships within the lowest and highest socio-economic areas. We also identify several firearms crime repellents, including universities/colleges and public/private schools. Conclusions: We find that attractors vary by city and socio-economic status, indicating that the unique underlying environmental context of each city facilitates firearms crime differently. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
07484518
Volume :
40
Issue :
1
Database :
Complementary Index
Journal :
Journal of Quantitative Criminology
Publication Type :
Academic Journal
Accession number :
175719269
Full Text :
https://doi.org/10.1007/s10940-022-09560-x