Developing a machine learning model to map new-build gentrification: A mixed-methods approach.
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| Title: | Developing a machine learning model to map new-build gentrification: A mixed-methods approach. |
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| Authors: | Mueller M; Department of Civil, Environmental, and Architectural Engineering, Drexel University, Pennsylvania, Philadelphia, United States of America., Quaye I; Department of Geography, Environment and Urban Studies, Temple University, Pennsylvania, Philadelphia, United States of America., Yi S; Department of City and Regional Planning, University of Pennsylvania, Pennsylvania, Philadelphia, United States of America., Foley J; Department of Geography, Environment and Urban Studies, Temple University, Pennsylvania, Philadelphia, United States of America., Shah R; Department of Geography, Environment and Urban Studies, Temple University, Pennsylvania, Philadelphia, United States of America., Li X; Department of City and Regional Planning, University of Pennsylvania, Pennsylvania, Philadelphia, United States of America., Pearsall H; Department of Geography, Environment and Urban Studies, Temple University, Pennsylvania, Philadelphia, United States of America., Hoque S; Department of Civil, Environmental, and Architectural Engineering, Drexel University, Pennsylvania, Philadelphia, United States of America. |
| Source: | PloS one [PLoS One] 2026 Jan 30; Vol. 21 (1), pp. e0341844. Date of Electronic Publication: 2026 Jan 30 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0341844 |
