Lee Barrett A, Reardon Sean F, Firebaugh Glenn, Farrell Chad R, Matthews Stephen A, O'Sullivan David
Pennsylvania State University.
Stanford University.
Am Sociol Rev. 2008 Oct;73(5):766-791. doi: 10.1177/000312240807300504.
The census tract-based residential segregation literature rests on problematic assumptions about geographic scale and proximity. We pursue a new tract-free approach that combines explicitly spatial concepts and methods to examine racial segregation across egocentric local environments of varying size. Using 2000 census data for the 100 largest U.S. metropolitan areas, we compute a spatially modified version of the information theory index to describe patterns of black-white, Hispanic-white, Asian-white, and multi-group segregation at different scales. The metropolitan structural characteristics that best distinguish micro-segregation from macro-segregation for each group combination are identified, and their effects are decomposed into portions due to racial variation occurring over short and long distances. A comparison of our results to those from tract-based analyses confirms the value of the new approach.
基于普查区的居住隔离文献基于关于地理尺度和邻近性的有问题的假设。我们采用一种新的无普查区方法，该方法结合明确的空间概念和方法，以研究不同规模的以自我为中心的当地环境中的种族隔离。利用美国100个最大都市区的2000年人口普查数据，我们计算了信息理论指数的空间修正版本，以描述不同尺度下黑-白、西班牙裔-白、亚裔-白和多群体隔离模式。确定了每组组合中最能区分微观隔离和宏观隔离的大都市结构特征，并将其影响分解为短距离和长距离种族差异所导致的部分。将我们的结果与基于普查区分析的结果进行比较，证实了新方法的价值。
