Patch-Level and Neighborhood-Dependency Spatial Optimization Method (PNO): Application to Urban Land-Use Planning to Facilitate Both Socio-Economic and Environmental Development in Beijing
Rapid urban expansion and chaotic urban land-use patterns cause many socio-economic and environmental issues, e.g., traffic congestion and urban heat islands; thus, scientific planning considering land-use trade-offs and layout optimization is highly required for resolving these issues, especially i...
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2025-01-01
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| Series: | ISPRS International Journal of Geo-Information |
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| author | Yuhan Cheng Xiuyuan Zhang Qi Zhou Xiaoyan Dong Shihong Du |
| author_facet | Yuhan Cheng Xiuyuan Zhang Qi Zhou Xiaoyan Dong Shihong Du |
| author_sort | Yuhan Cheng |
| collection | DOAJ |
| description | Rapid urban expansion and chaotic urban land-use patterns cause many socio-economic and environmental issues, e.g., traffic congestion and urban heat islands; thus, scientific planning considering land-use trade-offs and layout optimization is highly required for resolving these issues, especially in the urban renewal stage. However, previous spatial optimization methods were weak in processing land-use patches and ignored their neighborhood dependency, leading to fragmented and inapplicable optimization results. Accordingly, this study proposes a patch-level and neighborhood-dependency spatial optimization method (PNO) to adjust urban land-use patterns considering multiple optimization targets (i.e., improving population and economy but controlling land surface temperature). The PNO represents land-use patterns in a graph structure, quantifies land-use patterns’ impacts on the population, economy, and land surface temperature, defines the spatiotemporal constraints of land-use optimization considering neighborhood-dependency and optimization sequences, and finally optimizes land uses and their spatial layouts based on a multi-objective genetic algorithm. Experiments were conducted in the urban area of Beijing, and the results suggested that, after optimization, the population and GDP can be improved by 667,323 people (4.72%) and USD 10.69 billion in products (2.75%) in the study area; meanwhile, the land surface temperature can be reduced by 0.12 °C (−0.32%). Through comparison, the proposed PNO outperforms previous spatial optimization methods, e.g., NSGA-II, in processing land-use patches as well as their neighborhoods. Taking the land-use map in 2022 as a reference, the PNO optimization results are more consistent with actual land-use changes (consistency of 25%), compared to the existing spatial optimization results (consistency of 10.6%). Thus, PNO is more applicable to land-use planning in urban renewal circumstances. |
| format | Article |
| id | doaj-art-4e22d186f377442f80cdbb98bfe49a29 |
| institution | Kabale University |
| issn | 2220-9964 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj-art-4e22d186f377442f80cdbb98bfe49a292025-01-24T13:35:03ZengMDPI AGISPRS International Journal of Geo-Information2220-99642025-01-011413310.3390/ijgi14010033Patch-Level and Neighborhood-Dependency Spatial Optimization Method (PNO): Application to Urban Land-Use Planning to Facilitate Both Socio-Economic and Environmental Development in BeijingYuhan Cheng0Xiuyuan Zhang1Qi Zhou2Xiaoyan Dong3Shihong Du4School of Geography and Information Engineering, China University of Geoscience, 68 Jincheng Street, Wuhan 430078, ChinaCollege of Urban and Environmental Sciences, Peking University, Beijing 100871, ChinaSchool of Geography and Information Engineering, China University of Geoscience, 68 Jincheng Street, Wuhan 430078, ChinaSchool of Geography and Information Engineering, China University of Geoscience, 68 Jincheng Street, Wuhan 430078, ChinaCollege of Urban and Environmental Sciences, Peking University, Beijing 100871, ChinaRapid urban expansion and chaotic urban land-use patterns cause many socio-economic and environmental issues, e.g., traffic congestion and urban heat islands; thus, scientific planning considering land-use trade-offs and layout optimization is highly required for resolving these issues, especially in the urban renewal stage. However, previous spatial optimization methods were weak in processing land-use patches and ignored their neighborhood dependency, leading to fragmented and inapplicable optimization results. Accordingly, this study proposes a patch-level and neighborhood-dependency spatial optimization method (PNO) to adjust urban land-use patterns considering multiple optimization targets (i.e., improving population and economy but controlling land surface temperature). The PNO represents land-use patterns in a graph structure, quantifies land-use patterns’ impacts on the population, economy, and land surface temperature, defines the spatiotemporal constraints of land-use optimization considering neighborhood-dependency and optimization sequences, and finally optimizes land uses and their spatial layouts based on a multi-objective genetic algorithm. Experiments were conducted in the urban area of Beijing, and the results suggested that, after optimization, the population and GDP can be improved by 667,323 people (4.72%) and USD 10.69 billion in products (2.75%) in the study area; meanwhile, the land surface temperature can be reduced by 0.12 °C (−0.32%). Through comparison, the proposed PNO outperforms previous spatial optimization methods, e.g., NSGA-II, in processing land-use patches as well as their neighborhoods. Taking the land-use map in 2022 as a reference, the PNO optimization results are more consistent with actual land-use changes (consistency of 25%), compared to the existing spatial optimization results (consistency of 10.6%). Thus, PNO is more applicable to land-use planning in urban renewal circumstances.https://www.mdpi.com/2220-9964/14/1/33urban renewalland usesmulti-objective optimizationneighborhood dependencyconversion rule |
| spellingShingle | Yuhan Cheng Xiuyuan Zhang Qi Zhou Xiaoyan Dong Shihong Du Patch-Level and Neighborhood-Dependency Spatial Optimization Method (PNO): Application to Urban Land-Use Planning to Facilitate Both Socio-Economic and Environmental Development in Beijing ISPRS International Journal of Geo-Information urban renewal land uses multi-objective optimization neighborhood dependency conversion rule |
| title | Patch-Level and Neighborhood-Dependency Spatial Optimization Method (PNO): Application to Urban Land-Use Planning to Facilitate Both Socio-Economic and Environmental Development in Beijing |
| title_full | Patch-Level and Neighborhood-Dependency Spatial Optimization Method (PNO): Application to Urban Land-Use Planning to Facilitate Both Socio-Economic and Environmental Development in Beijing |
| title_fullStr | Patch-Level and Neighborhood-Dependency Spatial Optimization Method (PNO): Application to Urban Land-Use Planning to Facilitate Both Socio-Economic and Environmental Development in Beijing |
| title_full_unstemmed | Patch-Level and Neighborhood-Dependency Spatial Optimization Method (PNO): Application to Urban Land-Use Planning to Facilitate Both Socio-Economic and Environmental Development in Beijing |
| title_short | Patch-Level and Neighborhood-Dependency Spatial Optimization Method (PNO): Application to Urban Land-Use Planning to Facilitate Both Socio-Economic and Environmental Development in Beijing |
| title_sort | patch level and neighborhood dependency spatial optimization method pno application to urban land use planning to facilitate both socio economic and environmental development in beijing |
| topic | urban renewal land uses multi-objective optimization neighborhood dependency conversion rule |
| url | https://www.mdpi.com/2220-9964/14/1/33 |
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