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Multifractal Characteristics Analysis of Spatial State of Prefecture-Level Cities in China
In the last 40 years, Chinese cities have seen extensive development across a wide array of spheres. In this study, we applied a power-law and multifractal analysis to characterise 22 indices for 288 prefecture-level cities in mainland China. The data used to characterise the indices is representati...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883135/ https://www.ncbi.nlm.nih.gov/pubmed/36742276 http://dx.doi.org/10.1007/s12061-022-09496-6 |
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author | Song, Zhi-jun Chen, Yi Bo, Meng-yan |
author_facet | Song, Zhi-jun Chen, Yi Bo, Meng-yan |
author_sort | Song, Zhi-jun |
collection | PubMed |
description | In the last 40 years, Chinese cities have seen extensive development across a wide array of spheres. In this study, we applied a power-law and multifractal analysis to characterise 22 indices for 288 prefecture-level cities in mainland China. The data used to characterise the indices is representative of the year 2012. The results show that the Gross domestic product (GDP) is regular and exhibits multifractal spatial characteristics. Specifically, most developmental fields exhibit coupling in conjunction with being chaotic. Furthermore, eight indices with multifractal characteristics clearly reflect the spatial complexity of the corresponding fields and the volatility between prefecture-level cities. Overall, the tertiary industry has undergone nongeneralised development. On the other hand, the construction industry resembles a bubble economy, and the spatial layout of traditional industries has a homogenising effect in Middle and East China. This study examines China's overall spatial characteristics and states based on the above-mentioned analyses; additionally, the study focuses on the early 2010s. The contribution of this study provides a quantitative analysis paradigm based on a multifractal approach. |
format | Online Article Text |
id | pubmed-9883135 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-98831352023-01-30 Multifractal Characteristics Analysis of Spatial State of Prefecture-Level Cities in China Song, Zhi-jun Chen, Yi Bo, Meng-yan Appl Spat Anal Policy Article In the last 40 years, Chinese cities have seen extensive development across a wide array of spheres. In this study, we applied a power-law and multifractal analysis to characterise 22 indices for 288 prefecture-level cities in mainland China. The data used to characterise the indices is representative of the year 2012. The results show that the Gross domestic product (GDP) is regular and exhibits multifractal spatial characteristics. Specifically, most developmental fields exhibit coupling in conjunction with being chaotic. Furthermore, eight indices with multifractal characteristics clearly reflect the spatial complexity of the corresponding fields and the volatility between prefecture-level cities. Overall, the tertiary industry has undergone nongeneralised development. On the other hand, the construction industry resembles a bubble economy, and the spatial layout of traditional industries has a homogenising effect in Middle and East China. This study examines China's overall spatial characteristics and states based on the above-mentioned analyses; additionally, the study focuses on the early 2010s. The contribution of this study provides a quantitative analysis paradigm based on a multifractal approach. Springer Netherlands 2023-01-28 /pmc/articles/PMC9883135/ /pubmed/36742276 http://dx.doi.org/10.1007/s12061-022-09496-6 Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Song, Zhi-jun Chen, Yi Bo, Meng-yan Multifractal Characteristics Analysis of Spatial State of Prefecture-Level Cities in China |
title | Multifractal Characteristics Analysis of Spatial State of Prefecture-Level Cities in China |
title_full | Multifractal Characteristics Analysis of Spatial State of Prefecture-Level Cities in China |
title_fullStr | Multifractal Characteristics Analysis of Spatial State of Prefecture-Level Cities in China |
title_full_unstemmed | Multifractal Characteristics Analysis of Spatial State of Prefecture-Level Cities in China |
title_short | Multifractal Characteristics Analysis of Spatial State of Prefecture-Level Cities in China |
title_sort | multifractal characteristics analysis of spatial state of prefecture-level cities in china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883135/ https://www.ncbi.nlm.nih.gov/pubmed/36742276 http://dx.doi.org/10.1007/s12061-022-09496-6 |
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