Comparative modeling approaches for understanding urban violence

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)92-109
Number of pages18
JournalSocial Science Research
Volume41
Issue number1
DOIs
StatePublished - Jan 2012

Fingerprint

violence
regression
violent crime
urban area
stimulus
data analysis
offense
economics

Keywords

  • Data envelopment analysis
  • GIS
  • Optimization
  • Social disorganization
  • Violent crime

ASJC Scopus subject areas

  • Education
  • Sociology and Political Science

Cite this

Comparative modeling approaches for understanding urban violence. / Grubesic, Anthony; Mack, Elizabeth; Kaylen, Maria T.

In: Social Science Research, Vol. 41, No. 1, 01.2012, p. 92-109.

Research output: Contribution to journalArticle

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