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Analysis of Spatial Changes in Urban Areas Due to Revitalization Investments Based on China and Poland

cris.virtual.author-orcid0000-0002-8989-0761
cris.virtual.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.author-orcid8e9590fe-311c-4187-9bc5-d31340640802
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
dc.abstract.enIn order to address the social, economic, and environmental challenges arising from urban development, some urban revitalization plans have been proposed. With the implementation of these plans, the spatial pattern of the region has also undergone corresponding changes. Some of the revitalization projects have driven economic growth while accompanied by ecological degradation, while others have achieved coordinated development and protection. This study selected eight urban revitalization cases, based on remote sensing (RS) and geographic information system (GIS), and used the Random Forest (RF) machine learning method to dynamically monitor the spatial changes in the region before and after revitalization through Land Use and Land Cover (LULC) analysis. The research results show that among the eight cases, only the revitalization cases located in Beijing and Swarzędz reflected an increase in water and vegetation areas, while the built-up area decreased. The other six cases located in Nanjing, Kraków, Wągrowiec, Swarzędz, Parczew, and Mosina all reflect the result of built-up areas encroaching water and vegetation areas.
dc.affiliationWydział Rolnictwa, Ogrodnictwa i Biotechnologii
dc.affiliation.instituteKatedra Terenów Zieleni i Architektury Krajobrazu
dc.contributor.authorWang, Yingxin
dc.contributor.authorChoryński, Adam
dc.date.access2025-12-09
dc.date.accessioned2025-12-09T11:24:53Z
dc.date.available2025-12-09T11:24:53Z
dc.date.copyright2025-11-12
dc.date.issued2025
dc.description.abstract<jats:p>In order to address the social, economic, and environmental challenges arising from urban development, some urban revitalization plans have been proposed. With the implementation of these plans, the spatial pattern of the region has also undergone corresponding changes. Some of the revitalization projects have driven economic growth while accompanied by ecological degradation, while others have achieved coordinated development and protection. This study selected eight urban revitalization cases, based on remote sensing (RS) and geographic information system (GIS), and used the Random Forest (RF) machine learning method to dynamically monitor the spatial changes in the region before and after revitalization through Land Use and Land Cover (LULC) analysis. The research results show that among the eight cases, only the revitalization cases located in Beijing and Swarzędz reflected an increase in water and vegetation areas, while the built-up area decreased. The other six cases located in Nanjing, Kraków, Wągrowiec, Swarzędz, Parczew, and Mosina all reflect the result of built-up areas encroaching water and vegetation areas.</jats:p>
dc.description.accesstimeat_publication
dc.description.bibliographyil., bibliogr.
dc.description.financepublication_nocost
dc.description.financecost0,00
dc.description.if3,3
dc.description.number22
dc.description.points100
dc.description.versionfinal_published
dc.description.volume17
dc.identifier.doi10.3390/su172210126
dc.identifier.issn2071-1050
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/6278
dc.identifier.weblinkhttps://www.mdpi.com/2071-1050/17/22/10126
dc.languageen
dc.relation.ispartofSustainability
dc.relation.pagesart. 10126
dc.rightsCC-BY
dc.sciencecloudnosend
dc.share.typeOPEN_JOURNAL
dc.subject.enLULC changes
dc.subject.enurban revitalization
dc.subject.enrandom forest
dc.subject.enPlanetScope
dc.titleAnalysis of Spatial Changes in Urban Areas Due to Revitalization Investments Based on China and Poland
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.issue22
oaire.citation.volume17