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Using Emerging Hot Spot Analysis to Explore Spatiotemporal Patterns of Housing Vacancy in Ohio Metropolitan Statistical Areas

Bibliographic Data

ID6404041
AuthorsVictoria Morckel (0000-0002-0591-3998, University of Michigan–Flint, corresponding author), Noah J Durst (0000-0002-2724-1707, Michigan State University), Noah Durst (Michigan State University)
Year2023
Volume59
Issue1
Pages309-328
Publication date2023-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueUrban Affairs Review (JOURNAL)
Journal identifiersISSN: 1078-0874 • E-ISSN: 1552-8332
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/10780874211065014
OpenAlexW4200198429
LanguageEN
Citations received9
References cited29

We highlight the use of a newer method—emerging hot spot analysis of space-time cubes from defined locations—for examining the spread of housing vacancy in large Ohio MSAs. Using this method, we discovered that many Ohio MSAs concurrently experienced spread, contraction, and vacancy stabilization in census tracts located adjacent to, or within close proximity of, one another. These results indicate that vacancy proliferation is not solely a matter of geographic determinism, whereby high vacancy in one tract predicts high vacancy in neighboring tracts in future years. We also found that vacancy spread at the tract level is associated with population dynamics at the neighborhood, city, and MSA levels. Our findings suggest that vacancy reduction initiatives should account for population trends at various geographic scales, not just physical conditions within a particular neighborhood or tract

Census · Census tract · Geography · Metropolitan area · Physics · Population · Sociology · Vacancy defect · Demography · Migration, Aging, and Tourism Studies · Urban, Neighborhood, and Segregation Studies · Urbanization and City Planning · Condensed Matter Physics

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Unique citing works9
Citations per year4,5
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 9
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