Wong David W S, Shaw Shih-Lung
Geography and GeoInformation Science, George Mason University, Fairfax, VA 22030, USA,
J Geogr Syst. 2011 Jun;13(2):127-145. doi: 10.1007/s10109-010-0112-x.
While the literature clearly acknowledges that individuals may experience different levels of segregation across their various socio-geographical spaces, most measures of segregation are intended to be used in the residential space. Using spatially aggregated data to evaluate segregation in the residential space has been the norm and thus individual's segregation experiences in other socio-geographical spaces are often de-emphasized or ignored. This paper attempts to provide a more comprehensive approach in evaluating segregation beyond the residential space. The entire activity spaces of individuals are taken into account with individuals serving as the building blocks of the analysis. The measurement principle is based upon the exposure dimension of segregation. The proposed measure reflects the exposure of individuals of a referenced group in a neighborhood to the populations of other groups that are found within the activity spaces of individuals in the referenced group. Using the travel diary data collected from the tri-county area in southeast Florida and the imputed racial-ethnic data, this paper demonstrates how the proposed segregation measurement approach goes beyond just measuring population distribution patterns in the residential space and can provide a more comprehensive evaluation of segregation by considering various socio-geographical spaces.
虽然文献明确承认,个体在其不同的社会地理空间中可能经历不同程度的隔离,但大多数隔离衡量指标旨在用于居住空间。使用空间汇总数据来评估居住空间中的隔离一直是常态,因此个体在其他社会地理空间中的隔离经历往往被淡化或忽视。本文试图提供一种更全面的方法来评估居住空间之外的隔离情况。分析以个体为基本单元,将个体的整个活动空间纳入考量。测量原则基于隔离的暴露维度。所提出的衡量指标反映了参考群体中的个体在邻里环境中接触参考群体个体活动空间内其他群体人口的情况。利用从佛罗里达州东南部三县地区收集的出行日记数据以及估算的种族-族裔数据,本文展示了所提出的隔离测量方法如何不仅能测量居住空间中的人口分布模式,还能通过考虑各种社会地理空间,对隔离情况进行更全面的评估。