Logo image
Back
Comparative modeling approaches for understanding urban violence
Journal article   Peer reviewed

Comparative modeling approaches for understanding urban violence

Tony H. Grubesic, Elizabeth A. Mack and Maria T. Kaylen
Social science research, v 41(1), pp 92-109
2012
DOI: https://doi.org/10.1016/j.ssresearch.2011.07.004
PMID: 23017699
Featured in Collection :   UN Sustainable Development Goals @ Drexel

Abstract

Data envelopment analysis GIS Optimization Social disorganization Violent crime
► We compare three modeling approaches for better understanding urban violence. ► OLS regression, geographically weighted regression and data envelopment analysis. ► A case study focusing on aggravated assaults at the block group level in Cincinnati, OH is presented. ► Results suggest that these three approaches provide a fair and balanced assessment of urban violence. The purpose of this paper is to provide a comparative analysis of three different modeling approaches for exploring structural theories of violence. Specifically, ordinary least squares regression, geographically weighted regression and data envelopment analysis will be utilized to evaluate violent crime. This type of analysis expands upon traditional theory testing by deepening our understanding of differences in crime generation and its underlying demographic and socio-economic stimuli via different methodological lenses. A case study for the city of Cincinnati, Ohio is presented and the results suggest that a combination of approaches is likely the best strategy for evaluating violence in urban areas.

Metrics

11 Record Views
6 citations in Web of Science
19 citations in Scopus

Details

UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#16 Peace, Justice and Strong Institutions

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Collaboration types
Domestic collaboration
Web of Science research areas
Sociology
Logo image