New Paper by Knaap and Rey, Wei, and Skrah about Racial Segregation in Schools and Neighborhoods
In a new paper published in Applied Spatial Analysis and Policy, SASS scholars show the importance of considering features overlapping spaces when measuring racial residential segregation.
From the paper:
“For each metropolitan region in the U.S., we compute both Euclidean and network-based spatial segregation indices. We use a novel inferential framework to examine the statistical significance of the difference between the two measures and following, we use features of the network topology (e.g., connectivity, circuity, throughput) to explain this difference using a series of regression models. We show that there is often a large difference between segregation indices when measured by these two strategies (which is frequently significant). Further, we explain which topology measures reduce the observed gap and discuss implications for urban planning and design paradigms.
See more at the publisher’s website
Elijah Knaap
Assistant Professor
My research interests include urban inequality, neighborhood dynamics, housing markets, spatial data science, regional science, and housing & land policy.
Sergio Rey
Director and Professor
My research interests include geographic information science, spatial inequality dynamics, regional science, spatial econometrics, and spatial data science.
Ran Wei
Associate Professor
My research interests lie in the development and implementation of GIScience methods and techniques to address substantive social and environmental problems
Dylan Skrah
PhD Student
I am a student in the Joint Doctoral Program in Geography at SDSU. I study education landscapes using urban social science. I am interested in how dynamics of neighborhood change are affected by charter schools relative to traditional public schools. My research is predicated on, and critical of, applied economics in a public policy setting. Through my dissertation, I hope to provide a cogent answer to the question ‘What are schools for?’