The Spatial Proximity and Connectivity (SPC) Method for Measuring and Analyzing Residential Segregation
Elizabeth Roberto

TL;DR
The paper introduces the SPC method, which measures residential segregation by incorporating built environment features like road connectivity and physical barriers, providing a more comprehensive analysis of spatial inequality.
Contribution
It presents a novel method that accounts for physical barriers and connectivity in measuring segregation, addressing limitations of existing approaches.
Findings
Physical barriers influence segregation patterns.
The SPC method captures connectivity effects on segregation.
Empirical analysis in Pittsburgh illustrates the method's application.
Abstract
In recent years, there has been increasing attention to the spatial dimensions of residential segregation, such as the spatial arrangement of segregated neighborhoods and the geographic scale or relative size of segregated areas. However, the methods used to measure segregation do not incorporate features of the built environment, such as the road connectivity between locations or the physical barriers that divide groups. This article introduces the Spatial Proximity and Connectivity (SPC) method for measuring and analyzing segregation. The SPC method addresses the limitations of current approaches by taking into account how the physical structure of the built environment affects the proximity and connectivity of locations. In this article, I describe the method and its application for studying segregation and spatial inequality more broadly. I demonstrate one such application-analyzing…
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Taxonomy
TopicsUrban Transport and Accessibility · Urban Green Space and Health · Urban Design and Spatial Analysis
