Functional Tradeoffs and Feature Recognition of Rural Production–Living–Ecological Spaces
Recently, the spatial contradiction in rural construction has intensified. Production–living–ecological (PLE) spaces, as important load-bearing spatial patterns of rural revitalization, have become a research focus of territorial space planning. Because of the lack of studies on the scale and accura...
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| Format: | Article |
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MDPI AG
2022-07-01
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| Series: | Land |
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| Online Access: | https://www.mdpi.com/2073-445X/11/7/1103 |
| _version_ | 1797445841556865024 |
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| author | Tianyi Zhao Yuning Cheng Yiyang Fan Xiangnan Fan |
| author_facet | Tianyi Zhao Yuning Cheng Yiyang Fan Xiangnan Fan |
| author_sort | Tianyi Zhao |
| collection | DOAJ |
| description | Recently, the spatial contradiction in rural construction has intensified. Production–living–ecological (PLE) spaces, as important load-bearing spatial patterns of rural revitalization, have become a research focus of territorial space planning. Because of the lack of studies on the scale and accuracy at the township level in rural PLE spaces, the objective of this study is to quantify the subfunctional and functional areas of PLE spaces, weigh the relationship between PLE functions, and conduct feature identification and strategy formulation of the PLE synergistic functional areas. Combined with multitype measurement methods, the study constructed a township-level PLE space evaluation system composed of 12 subfunctional indicators. Taking Guli Street in Nanjing city as an example, Spearman correlation analysis, spatial local autocorrelation analysis, and cold/hot spot identification were used to analyze the synergies and tradeoffs between PLE functions. On this basis, the evaluation model of the PLE synergies area was constructed. The results showed that the production function showed a fragmented distribution pattern. The proportion of high-intensity living function areas was very small. The ecological function area had good patch integrity. In the PLE functions, obvious synergies exist between any two functions, and the tradeoff between the third one and any of the two functions. The seven types of PLE synergistic potential areas were dominated by the dual-function high synergistic zone (DF-H-Z). The zoning scheme and governance strategy proposed in this paper have important practical value for solving the contradiction of sustainable and coordinated development of township-scale spatial resources. |
| first_indexed | 2024-03-09T13:31:35Z |
| format | Article |
| id | doaj.art-d25b5b8b6d8540f58c4d834c006a8ad7 |
| institution | Directory Open Access Journal |
| issn | 2073-445X |
| language | English |
| last_indexed | 2024-03-09T13:31:35Z |
| publishDate | 2022-07-01 |
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| series | Land |
| spelling | doaj.art-d25b5b8b6d8540f58c4d834c006a8ad72023-11-30T21:17:13ZengMDPI AGLand2073-445X2022-07-01117110310.3390/land11071103Functional Tradeoffs and Feature Recognition of Rural Production–Living–Ecological SpacesTianyi Zhao0Yuning Cheng1Yiyang Fan2Xiangnan Fan3School of Architecture, Southeast University, Nanjing 210096, ChinaSchool of Architecture, Southeast University, Nanjing 210096, ChinaSchool of Architecture, Southeast University, Nanjing 210096, ChinaSchool of Architecture, Southeast University, Nanjing 210096, ChinaRecently, the spatial contradiction in rural construction has intensified. Production–living–ecological (PLE) spaces, as important load-bearing spatial patterns of rural revitalization, have become a research focus of territorial space planning. Because of the lack of studies on the scale and accuracy at the township level in rural PLE spaces, the objective of this study is to quantify the subfunctional and functional areas of PLE spaces, weigh the relationship between PLE functions, and conduct feature identification and strategy formulation of the PLE synergistic functional areas. Combined with multitype measurement methods, the study constructed a township-level PLE space evaluation system composed of 12 subfunctional indicators. Taking Guli Street in Nanjing city as an example, Spearman correlation analysis, spatial local autocorrelation analysis, and cold/hot spot identification were used to analyze the synergies and tradeoffs between PLE functions. On this basis, the evaluation model of the PLE synergies area was constructed. The results showed that the production function showed a fragmented distribution pattern. The proportion of high-intensity living function areas was very small. The ecological function area had good patch integrity. In the PLE functions, obvious synergies exist between any two functions, and the tradeoff between the third one and any of the two functions. The seven types of PLE synergistic potential areas were dominated by the dual-function high synergistic zone (DF-H-Z). The zoning scheme and governance strategy proposed in this paper have important practical value for solving the contradiction of sustainable and coordinated development of township-scale spatial resources.https://www.mdpi.com/2073-445X/11/7/1103rural areaproduction–living–ecological (PLE) spacesfunctional evaluationfeature recognition |
| spellingShingle | Tianyi Zhao Yuning Cheng Yiyang Fan Xiangnan Fan Functional Tradeoffs and Feature Recognition of Rural Production–Living–Ecological Spaces Land rural area production–living–ecological (PLE) spaces functional evaluation feature recognition |
| title | Functional Tradeoffs and Feature Recognition of Rural Production–Living–Ecological Spaces |
| title_full | Functional Tradeoffs and Feature Recognition of Rural Production–Living–Ecological Spaces |
| title_fullStr | Functional Tradeoffs and Feature Recognition of Rural Production–Living–Ecological Spaces |
| title_full_unstemmed | Functional Tradeoffs and Feature Recognition of Rural Production–Living–Ecological Spaces |
| title_short | Functional Tradeoffs and Feature Recognition of Rural Production–Living–Ecological Spaces |
| title_sort | functional tradeoffs and feature recognition of rural production living ecological spaces |
| topic | rural area production–living–ecological (PLE) spaces functional evaluation feature recognition |
| url | https://www.mdpi.com/2073-445X/11/7/1103 |
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