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Studying the distribution patterns, dynamics and influencing factors of city functional components by gradient analysis
Understanding the spatial distribution characteristics and formation mechanism of urban facilities (city functional components) constitutes the basis of urban layout optimization. Currently, research on the overall distribution of the various types of city functional components is lacking. In this s...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8423789/ https://www.ncbi.nlm.nih.gov/pubmed/34493745 http://dx.doi.org/10.1038/s41598-021-97208-4 |
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author | Liu, Shun Yang, Guofu Wu, Zhaoping Mao, Feng Qu, Zelong Ge, Ying Chang, Jie |
author_facet | Liu, Shun Yang, Guofu Wu, Zhaoping Mao, Feng Qu, Zelong Ge, Ying Chang, Jie |
author_sort | Liu, Shun |
collection | PubMed |
description | Understanding the spatial distribution characteristics and formation mechanism of urban facilities (city functional components) constitutes the basis of urban layout optimization. Currently, research on the overall distribution of the various types of city functional components is lacking. In this study, by applying the gradient analysis method common in ecology, we considered 13 types of city functional components (80,214 individuals in total) in large, medium and small Chinese cities (9 cities in total) to carry out quantitative analysis of the distribution of components along urban–rural gradients through density distribution curves. The results indicated that: (1) a higher density of city functional components near the city centre revealed an obvious aggregated distribution; (2) the spatial distribution dynamics of city functional components were related to the city size, providing a reference for the rational distribution of components in cities of different sizes; (3) the distribution of city functional components was affected by their ecosystem services. This study offers a new perspective for the application of ecological methods in the examination of the distribution of city functional components. |
format | Online Article Text |
id | pubmed-8423789 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-84237892021-09-09 Studying the distribution patterns, dynamics and influencing factors of city functional components by gradient analysis Liu, Shun Yang, Guofu Wu, Zhaoping Mao, Feng Qu, Zelong Ge, Ying Chang, Jie Sci Rep Article Understanding the spatial distribution characteristics and formation mechanism of urban facilities (city functional components) constitutes the basis of urban layout optimization. Currently, research on the overall distribution of the various types of city functional components is lacking. In this study, by applying the gradient analysis method common in ecology, we considered 13 types of city functional components (80,214 individuals in total) in large, medium and small Chinese cities (9 cities in total) to carry out quantitative analysis of the distribution of components along urban–rural gradients through density distribution curves. The results indicated that: (1) a higher density of city functional components near the city centre revealed an obvious aggregated distribution; (2) the spatial distribution dynamics of city functional components were related to the city size, providing a reference for the rational distribution of components in cities of different sizes; (3) the distribution of city functional components was affected by their ecosystem services. This study offers a new perspective for the application of ecological methods in the examination of the distribution of city functional components. Nature Publishing Group UK 2021-09-07 /pmc/articles/PMC8423789/ /pubmed/34493745 http://dx.doi.org/10.1038/s41598-021-97208-4 Text en © The Author(s) 2021 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 Liu, Shun Yang, Guofu Wu, Zhaoping Mao, Feng Qu, Zelong Ge, Ying Chang, Jie Studying the distribution patterns, dynamics and influencing factors of city functional components by gradient analysis |
title | Studying the distribution patterns, dynamics and influencing factors of city functional components by gradient analysis |
title_full | Studying the distribution patterns, dynamics and influencing factors of city functional components by gradient analysis |
title_fullStr | Studying the distribution patterns, dynamics and influencing factors of city functional components by gradient analysis |
title_full_unstemmed | Studying the distribution patterns, dynamics and influencing factors of city functional components by gradient analysis |
title_short | Studying the distribution patterns, dynamics and influencing factors of city functional components by gradient analysis |
title_sort | studying the distribution patterns, dynamics and influencing factors of city functional components by gradient analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8423789/ https://www.ncbi.nlm.nih.gov/pubmed/34493745 http://dx.doi.org/10.1038/s41598-021-97208-4 |
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