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The Resident-intruder Paradigm: A Standardized Test for Aggression, Violence and Social Stress
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Comparative modeling approaches for understanding urban violence.

Tony H Grubesic1, Elizabeth A Mack, Maria T Kaylen

  • 1Geographic Information Systems and Spatial Analysis Laboratory, College of Information Science and Technology, Drexel University, Philadelphia, PA 19104, United States.

Social Science Research
|September 29, 2012
PubMed
Summary

This study compares three models for analyzing violent crime, finding that combining methods offers the best approach for understanding urban violence and its causes.

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Area of Science:

  • Criminology
  • Urban Studies
  • Quantitative Analysis

Background:

  • Structural theories of violence offer explanations for crime patterns.
  • Traditional methods may not fully capture the complexity of crime generation.
  • Understanding demographic and socio-economic factors is crucial for crime analysis.

Purpose of the Study:

  • To comparatively analyze three distinct modeling approaches for structural violence theories.
  • To evaluate the effectiveness of ordinary least squares regression, geographically weighted regression, and data envelopment analysis in assessing violent crime.
  • To deepen the understanding of crime generation and its stimuli through diverse methodological perspectives.

Main Methods:

  • Ordinary Least Squares (OLS) Regression
  • Geographically Weighted Regression (GWR)
  • Data Envelopment Analysis (DEA)

Main Results:

  • Each method provides a unique lens for examining violent crime.
  • The study highlights variations in crime generation linked to demographic and socio-economic factors.
  • A case study in Cincinnati, Ohio, demonstrates the application of these methods.

Conclusions:

  • No single modeling approach is sufficient for a comprehensive analysis of urban violence.
  • A combined methodological strategy is recommended for robust evaluation of violence in urban settings.
  • Integrating different analytical techniques enhances the understanding of crime's complex drivers.