Geographic Information Systems and Spatial Analysis Laboratory, College of Information Science and Technology, Drexel University, Philadelphia, PA 19104, United States.
Soc Sci Res. 2012 Jan;41(1):92-109. doi: 10.1016/j.ssresearch.2011.07.004. Epub 2011 Jul 28.
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.
本文旨在对三种不同的建模方法进行比较分析，以探索暴力的结构理论。具体而言，将使用普通最小二乘法回归、地理加权回归和数据包络分析来评估暴力犯罪。这种分析通过不同的方法视角深化了我们对犯罪产生及其潜在人口和社会经济刺激因素差异的理解，从而扩展了传统的理论检验。本文以俄亥俄州辛辛那提市为例进行了研究，结果表明，结合使用多种方法可能是评估城市暴力的最佳策略。
