Spatiotemporal Pattern and Driving Factors of Urban Sprawl in China

Urban sprawl is a complex phenomenon related to abnormal urbanization, and it has become a key issue of global concern. This study aimed to measure urban sprawl in China and explore its spatiotemporal patterns and driving factors. Based on 343 Chinese cities at the prefecture level and above, remote...

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Autores principales:	Xin Zhang, Jinghu Pan
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	urban sprawl spatiotemporal pattern driving factor Geodetector China Agriculture S
Acceso en línea:	https://doaj.org/article/8110a78decec4db196b4b0c1a13c93b9
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id	oai:doaj.org-article:8110a78decec4db196b4b0c1a13c93b9
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spelling	oai:doaj.org-article:8110a78decec4db196b4b0c1a13c93b92021-11-25T18:10:17ZSpatiotemporal Pattern and Driving Factors of Urban Sprawl in China10.3390/land101112752073-445Xhttps://doaj.org/article/8110a78decec4db196b4b0c1a13c93b92021-11-01T00:00:00Zhttps://www.mdpi.com/2073-445X/10/11/1275https://doaj.org/toc/2073-445XUrban sprawl is a complex phenomenon related to abnormal urbanization, and it has become a key issue of global concern. This study aimed to measure urban sprawl in China and explore its spatiotemporal patterns and driving factors. Based on 343 Chinese cities at the prefecture level and above, remote sensing-derived data from 2000 to 2017 were used to calculate the urban sprawl index (USI). The evolutionary trend and spatiotemporal pattern of urban sprawl in China were then analyzed using trend analysis and exploratory spatiotemporal data analysis, and Geodetector was applied to investigate the factors driving the changes. The results show the following. ① Moderate or high urban sprawl development occurred in China from 2000 to 2017. In terms of spatial distribution, the USI was high in northwest China and low in southeast China. ② The local spatial stability of the USI gradually decreased from southeast to northwest and northeast. USI had strong spatial dependence. No significant spatiotemporal transitions in urban sprawl were observed, and the spatial pattern was stable with strong spatial cohesion. ③ The gross regional product (GRP) of the tertiary industry, the total GRP, and investment in real estate development have been the most important factors affecting sprawl in cities at the prefecture level and above in China.Xin ZhangJinghu PanMDPI AGarticleurban sprawlspatiotemporal patterndriving factorGeodetectorChinaAgricultureSENLand, Vol 10, Iss 1275, p 1275 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	urban sprawl spatiotemporal pattern driving factor Geodetector China Agriculture S
spellingShingle	urban sprawl spatiotemporal pattern driving factor Geodetector China Agriculture S Xin Zhang Jinghu Pan Spatiotemporal Pattern and Driving Factors of Urban Sprawl in China
description	Urban sprawl is a complex phenomenon related to abnormal urbanization, and it has become a key issue of global concern. This study aimed to measure urban sprawl in China and explore its spatiotemporal patterns and driving factors. Based on 343 Chinese cities at the prefecture level and above, remote sensing-derived data from 2000 to 2017 were used to calculate the urban sprawl index (USI). The evolutionary trend and spatiotemporal pattern of urban sprawl in China were then analyzed using trend analysis and exploratory spatiotemporal data analysis, and Geodetector was applied to investigate the factors driving the changes. The results show the following. ① Moderate or high urban sprawl development occurred in China from 2000 to 2017. In terms of spatial distribution, the USI was high in northwest China and low in southeast China. ② The local spatial stability of the USI gradually decreased from southeast to northwest and northeast. USI had strong spatial dependence. No significant spatiotemporal transitions in urban sprawl were observed, and the spatial pattern was stable with strong spatial cohesion. ③ The gross regional product (GRP) of the tertiary industry, the total GRP, and investment in real estate development have been the most important factors affecting sprawl in cities at the prefecture level and above in China.
format	article
author	Xin Zhang Jinghu Pan
author_facet	Xin Zhang Jinghu Pan
author_sort	Xin Zhang
title	Spatiotemporal Pattern and Driving Factors of Urban Sprawl in China
title_short	Spatiotemporal Pattern and Driving Factors of Urban Sprawl in China
title_full	Spatiotemporal Pattern and Driving Factors of Urban Sprawl in China
title_fullStr	Spatiotemporal Pattern and Driving Factors of Urban Sprawl in China
title_full_unstemmed	Spatiotemporal Pattern and Driving Factors of Urban Sprawl in China
title_sort	spatiotemporal pattern and driving factors of urban sprawl in china
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/8110a78decec4db196b4b0c1a13c93b9
work_keys_str_mv	AT xinzhang spatiotemporalpatternanddrivingfactorsofurbansprawlinchina AT jinghupan spatiotemporalpatternanddrivingfactorsofurbansprawlinchina
_version_	1718411569043341312

Spatiotemporal Pattern and Driving Factors of Urban Sprawl in China

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