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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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41616032 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Developing a machine learning model to map new-build gentrification: A mixed-methods approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Mueller+M%22">Mueller M</searchLink>; Department of Civil, Environmental, and Architectural Engineering, Drexel University, Pennsylvania, Philadelphia, United States of America.<br /><searchLink fieldCode="AU" term="%22Quaye+I%22">Quaye I</searchLink>; Department of Geography, Environment and Urban Studies, Temple University, Pennsylvania, Philadelphia, United States of America.<br /><searchLink fieldCode="AU" term="%22Yi+S%22">Yi S</searchLink>; Department of City and Regional Planning, University of Pennsylvania, Pennsylvania, Philadelphia, United States of America.<br /><searchLink fieldCode="AU" term="%22Foley+J%22">Foley J</searchLink>; Department of Geography, Environment and Urban Studies, Temple University, Pennsylvania, Philadelphia, United States of America.<br /><searchLink fieldCode="AU" term="%22Shah+R%22">Shah R</searchLink>; Department of Geography, Environment and Urban Studies, Temple University, Pennsylvania, Philadelphia, United States of America.<br /><searchLink fieldCode="AU" term="%22Li+X%22">Li X</searchLink>; Department of City and Regional Planning, University of Pennsylvania, Pennsylvania, Philadelphia, United States of America.<br /><searchLink fieldCode="AU" term="%22Pearsall+H%22">Pearsall H</searchLink>; Department of Geography, Environment and Urban Studies, Temple University, Pennsylvania, Philadelphia, United States of America.<br /><searchLink fieldCode="AU" term="%22Hoque+S%22">Hoque S</searchLink>; Department of Civil, Environmental, and Architectural Engineering, Drexel University, Pennsylvania, Philadelphia, United States of America. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2026 Jan 30; Vol. 21 (1), pp. e0341844. <i>Date of Electronic Publication: </i>2026 Jan 30 (<i>Print Publication: </i>2026). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101285081 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1932-6203 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2219326203%22">19326203 </searchLink><i>NLM ISO Abbreviation: </i>PLoS One <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41616032 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0341844 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e0341844 Titles: – TitleFull: Developing a machine learning model to map new-build gentrification: A mixed-methods approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mueller M – PersonEntity: Name: NameFull: Quaye I – PersonEntity: Name: NameFull: Yi S – PersonEntity: Name: NameFull: Foley J – PersonEntity: Name: NameFull: Shah R – PersonEntity: Name: NameFull: Li X – PersonEntity: Name: NameFull: Pearsall H – PersonEntity: Name: NameFull: Hoque S IsPartOfRelationships: – BibEntity: Dates: – D: 30 M: 01 Text: 2026 Jan 30 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1932-6203 Numbering: – Type: volume Value: 21 – Type: issue Value: 1 Titles: – TitleFull: PloS one Type: main |
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