Spatial Green Space Accessibility in Hongkou District of Shanghai Based on Gaussian Two-Step Floating Catchment Area Method
Green space in urban areas is one of the most critical infrastructures for the well-being of residents, and its spatial accessibility configuration is a key indicator of urban planning layout and ecological civilization construction. Using the Gaussian two-step floating catchment area (G2SFCA) metho...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Buildings |
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| Online Access: | https://www.mdpi.com/2075-5309/13/10/2477 |
| _version_ | 1827721450718494720 |
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| author | Yao Sun Dongwei Tian Man Zhang Yue Hou |
| author_facet | Yao Sun Dongwei Tian Man Zhang Yue Hou |
| author_sort | Yao Sun |
| collection | DOAJ |
| description | Green space in urban areas is one of the most critical infrastructures for the well-being of residents, and its spatial accessibility configuration is a key indicator of urban planning layout and ecological civilization construction. Using the Gaussian two-step floating catchment area (G2SFCA) method, K-means cluster analysis, and Kriging spatial interpolation, this study examines the spatial characteristics of green space accessibility in the Hongkou District, focusing on the relationship between “green space-community” supply. The findings indicate the following: (1) green space accessibility in Hongkou District decreases as the level of green spaces decreases. Higher levels of accessibility are associated with smaller variations in spatial distribution. (2) The green space accessibility in Hongkou District is affected by the surrounding large green space. Compared to other areas, the community green spaces near Lu Xun Park and Peace Park have higher accessibility. (3) The green space accessibility in Hongkou District is impacted by the mismatch between population density and green spaces. An overlay analysis of accessibility and population density reveals that high accessibility areas have average or low-average population density. Based on the results of the green space accessibility analysis, recommendations are proposed to optimize the green space layout in Hongkou District from the perspective of spatial justice. These suggestions are aimed at promoting the equalization of green space services in Hongkou District, improving the overall level of urban green space services, with a view to improving the quality of urban living environment and creating a green and livable urban area. |
| first_indexed | 2024-03-10T21:23:33Z |
| format | Article |
| id | doaj.art-7150b0e8ff3e4e95a97ad6a081a99f4d |
| institution | Directory Open Access Journal |
| issn | 2075-5309 |
| language | English |
| last_indexed | 2024-03-10T21:23:33Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj.art-7150b0e8ff3e4e95a97ad6a081a99f4d2023-11-19T15:54:55ZengMDPI AGBuildings2075-53092023-09-011310247710.3390/buildings13102477Spatial Green Space Accessibility in Hongkou District of Shanghai Based on Gaussian Two-Step Floating Catchment Area MethodYao Sun0Dongwei Tian1Man Zhang2Yue Hou3School of Architecture and Urban Planning, Beijing University of Civil Engineering and Architecture, Beijing 100044, ChinaSchool of Architecture and Urban Planning, Beijing University of Civil Engineering and Architecture, Beijing 100044, ChinaSchool of Architecture and Urban Planning, Beijing University of Civil Engineering and Architecture, Beijing 100044, ChinaBeijing Tsinghua Tongheng Urban Planning & Design Institute, Beijing 100085, ChinaGreen space in urban areas is one of the most critical infrastructures for the well-being of residents, and its spatial accessibility configuration is a key indicator of urban planning layout and ecological civilization construction. Using the Gaussian two-step floating catchment area (G2SFCA) method, K-means cluster analysis, and Kriging spatial interpolation, this study examines the spatial characteristics of green space accessibility in the Hongkou District, focusing on the relationship between “green space-community” supply. The findings indicate the following: (1) green space accessibility in Hongkou District decreases as the level of green spaces decreases. Higher levels of accessibility are associated with smaller variations in spatial distribution. (2) The green space accessibility in Hongkou District is affected by the surrounding large green space. Compared to other areas, the community green spaces near Lu Xun Park and Peace Park have higher accessibility. (3) The green space accessibility in Hongkou District is impacted by the mismatch between population density and green spaces. An overlay analysis of accessibility and population density reveals that high accessibility areas have average or low-average population density. Based on the results of the green space accessibility analysis, recommendations are proposed to optimize the green space layout in Hongkou District from the perspective of spatial justice. These suggestions are aimed at promoting the equalization of green space services in Hongkou District, improving the overall level of urban green space services, with a view to improving the quality of urban living environment and creating a green and livable urban area.https://www.mdpi.com/2075-5309/13/10/2477urban green spaceaccessibilityGaussian two-step floating catchment area methodHongkou District |
| spellingShingle | Yao Sun Dongwei Tian Man Zhang Yue Hou Spatial Green Space Accessibility in Hongkou District of Shanghai Based on Gaussian Two-Step Floating Catchment Area Method Buildings urban green space accessibility Gaussian two-step floating catchment area method Hongkou District |
| title | Spatial Green Space Accessibility in Hongkou District of Shanghai Based on Gaussian Two-Step Floating Catchment Area Method |
| title_full | Spatial Green Space Accessibility in Hongkou District of Shanghai Based on Gaussian Two-Step Floating Catchment Area Method |
| title_fullStr | Spatial Green Space Accessibility in Hongkou District of Shanghai Based on Gaussian Two-Step Floating Catchment Area Method |
| title_full_unstemmed | Spatial Green Space Accessibility in Hongkou District of Shanghai Based on Gaussian Two-Step Floating Catchment Area Method |
| title_short | Spatial Green Space Accessibility in Hongkou District of Shanghai Based on Gaussian Two-Step Floating Catchment Area Method |
| title_sort | spatial green space accessibility in hongkou district of shanghai based on gaussian two step floating catchment area method |
| topic | urban green space accessibility Gaussian two-step floating catchment area method Hongkou District |
| url | https://www.mdpi.com/2075-5309/13/10/2477 |
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