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The Spatial Proximity and Connectivity Method for Measuring and Analyzing Residential Segregation

Bibliographic Data

ID6169994
AuthorsElizabeth Roberto (0000-0001-7667-6953, Rice University, Houston, TX, USA, corresponding author)
Year2018
Volume48
Issue1
Pages182-224
Publication date2018-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSociological Methodology (JOURNAL)
Journal identifiersISSN: 0081-1750 • E-ISSN: 1467-9531
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/0081175018796871
OpenAlexW2963530407
LanguageEN
Citations received24
References cited66

In recent years, there has been increasing attention focused on the spatial dimensions of residential segregation—from the spatial arrangement of segregated neighborhoods to 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 paper introduces the spatial proximity and connectivity (SPC) method for measuring and analyzing segregation. The 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. I describe the method and its application for studying segregation and spatial inequality more broadly, and I demonstrate one such application—analyzing the impact of physical barriers on residential segregation—with a stylized example and an empirical analysis of racial segregation in Pittsburgh, Pennsylvania. The SPC method contributes to scholarship on residential segregation by capturing the effect of an important yet understudied mechanism of segregation—the connectivity, or physical barriers, between locations—on the level and spatial pattern of segregation, and it enables further consideration of the role of the built environment in segregation processes

Built environment · Inequality · Spatial ecology · Spatial inequality · Computer Science · Engineering · Homelessness and Social Issues · Mathematics · Urban Transport and Accessibility · Urban, Neighborhood, and Segregation Studies

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Unique citing works24
Citations per year4,8
Citation span2021 - 2026 (6)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 24

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