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

Yingxin Wang and Adam Choryński ()
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Yingxin Wang: Department of Geoinformation and Spatial Management, Faculty of Environmental and Mechanical Engineering, Poznan University of Life Sciences, Piatkowska 94, 60-649 Poznan, Poland
Adam Choryński: Department of Landscape Architecture, Faculty of Agriculture, Horticulture and Biotechnology, Poznan University of Life Sciences, Dabrowskiego 159, 60-594 Poznan, Poland

Sustainability, 2025, vol. 17, issue 22, 1-21

Abstract: 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.

Keywords: LULC changes; urban revitalization; random forest; PlanetScope (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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