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Spatial heterogeneity of urban–rural integration and its influencing factors in Shandong province of China
Based on nighttime light data and statistical data, this study calculated the level of urban–rural integration (URI) of Shandong province, researched spatial heterogeneity of URI levels by local spatial autocorrelation analysis, Geodetector, and geographically weighted regression, and analyzed its i...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395521/ https://www.ncbi.nlm.nih.gov/pubmed/35995949 http://dx.doi.org/10.1038/s41598-022-18424-0 |
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author | Shan, Baoyan Zhang, Qiao Ren, Qixin Yu, Xinwei Chen, Yanqiu |
author_facet | Shan, Baoyan Zhang, Qiao Ren, Qixin Yu, Xinwei Chen, Yanqiu |
author_sort | Shan, Baoyan |
collection | PubMed |
description | Based on nighttime light data and statistical data, this study calculated the level of urban–rural integration (URI) of Shandong province, researched spatial heterogeneity of URI levels by local spatial autocorrelation analysis, Geodetector, and geographically weighted regression, and analyzed its influencing factors and spatial heterogeneity. The results concluded that: (1) The spatial pattern of urban–rural integrated level is consistent with the level of regional economic development in Shandong province. The level of URI is higher along the Qingdao–Jinan railway and along the coast, whereas the level is lower in southwest Shandong and northwest Shandong. (2) The cities of Yantai and Weifang are High–High cluster areas of urban integration, and Jining is a Low–Low cluster area. The spatial agglomeration characteristics are not significant in other cities. (3) Among the main factors affecting URI, the explanatory power of the rural population with high school or technical secondary school education or above, the area of urban construction land, and the secondary and tertiary industry GDP to the spatial pattern of URI in Shandong province are 73.58%, 62.08%, and 58.66%, respectively. As the key factors, spatial heterogeneity, such as north–south differences, southwest-to-northeast differences, and east–west differences, is evident. |
format | Online Article Text |
id | pubmed-9395521 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93955212022-08-24 Spatial heterogeneity of urban–rural integration and its influencing factors in Shandong province of China Shan, Baoyan Zhang, Qiao Ren, Qixin Yu, Xinwei Chen, Yanqiu Sci Rep Article Based on nighttime light data and statistical data, this study calculated the level of urban–rural integration (URI) of Shandong province, researched spatial heterogeneity of URI levels by local spatial autocorrelation analysis, Geodetector, and geographically weighted regression, and analyzed its influencing factors and spatial heterogeneity. The results concluded that: (1) The spatial pattern of urban–rural integrated level is consistent with the level of regional economic development in Shandong province. The level of URI is higher along the Qingdao–Jinan railway and along the coast, whereas the level is lower in southwest Shandong and northwest Shandong. (2) The cities of Yantai and Weifang are High–High cluster areas of urban integration, and Jining is a Low–Low cluster area. The spatial agglomeration characteristics are not significant in other cities. (3) Among the main factors affecting URI, the explanatory power of the rural population with high school or technical secondary school education or above, the area of urban construction land, and the secondary and tertiary industry GDP to the spatial pattern of URI in Shandong province are 73.58%, 62.08%, and 58.66%, respectively. As the key factors, spatial heterogeneity, such as north–south differences, southwest-to-northeast differences, and east–west differences, is evident. Nature Publishing Group UK 2022-08-22 /pmc/articles/PMC9395521/ /pubmed/35995949 http://dx.doi.org/10.1038/s41598-022-18424-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Shan, Baoyan Zhang, Qiao Ren, Qixin Yu, Xinwei Chen, Yanqiu Spatial heterogeneity of urban–rural integration and its influencing factors in Shandong province of China |
title | Spatial heterogeneity of urban–rural integration and its influencing factors in Shandong province of China |
title_full | Spatial heterogeneity of urban–rural integration and its influencing factors in Shandong province of China |
title_fullStr | Spatial heterogeneity of urban–rural integration and its influencing factors in Shandong province of China |
title_full_unstemmed | Spatial heterogeneity of urban–rural integration and its influencing factors in Shandong province of China |
title_short | Spatial heterogeneity of urban–rural integration and its influencing factors in Shandong province of China |
title_sort | spatial heterogeneity of urban–rural integration and its influencing factors in shandong province of china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395521/ https://www.ncbi.nlm.nih.gov/pubmed/35995949 http://dx.doi.org/10.1038/s41598-022-18424-0 |
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