Spatial patterns and inequity of urban green space supply in China

Urban green space (UGS) is essential to the improvement of human well-being and health, and the inequity of UGS supply has received widespread concern. The urban green space availability (UGSA) can effectively evaluate UGS supply. However, the UGSA under different daily transportation patterns has n...

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Autores principales:	Yiyi Huang, Tao Lin, Xiongzhi Xue, Guoqin Zhang, Yuqin Liu, Zhiwei Zeng, Junmao Zhang, Jinling Sui
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Urban green space Availability Spatial patterns Inequity GeoDetector Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/c257c0f80848400886ce400fb811b4a9
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spelling	oai:doaj.org-article:c257c0f80848400886ce400fb811b4a92021-12-01T05:01:47ZSpatial patterns and inequity of urban green space supply in China1470-160X10.1016/j.ecolind.2021.108275https://doaj.org/article/c257c0f80848400886ce400fb811b4a92021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21009407https://doaj.org/toc/1470-160XUrban green space (UGS) is essential to the improvement of human well-being and health, and the inequity of UGS supply has received widespread concern. The urban green space availability (UGSA) can effectively evaluate UGS supply. However, the UGSA under different daily transportation patterns has not received enough attention, as well as the potential of UGS that is not available by transportation patterns. Meanwhile, the inequity of UGS supply between cities with different economic development levels at the regional or national scale is still unclear. So, we constructed seven UGS indicators to represent the UGS supply: UGSA considering four kinds of daily transportation patterns (UGSA0.5 km, UGSA2.5 km, UGSA10km, and UGSA30km), the potential of UGS (PUGS), the proportion of PUGS (PPUGS), and stock of UGS indicator (SUGS). The spatial patterns of availability, potential, and stock of UGS in 366 cities on the Chinese mainland in 2015 were captured. Then, the concentration curve and concentration index (CI) were applied to describe the inequity of UGS supply between the cities. Finally, we used correlation analysis, regression analysis, and GeoDetector techniques to explore the driving factors of the spatial pattern of availability and potential of UGS. The results showed that: (1) The SUGS, PUGS, and PPUGS were lower in the southeastern region indicated by the Hu Huanyong Line than that in the northwestern region. Only 44.11% of China's UGS were available through the daily transportation patterns. The spatial patterns of the four UGSA were similar, while the UGSA30km’s hot spots appeared in Southwest China. (2) Less developed cities occupied more SUGS, PUGS, and PPUGS. With the increase of buffer radius, the equity of UGSA among cities was gradually improved, while developed cities always possessed more UGSA. (3) With the increase of buffer radius, the dominant driving factors of UGSA indicators gradually changed from social economy and infrastructure variables to physical geography variables. Our study provides new evidence for a comprehensive understanding of UGSA, and the results of UGS supply and its inequity will contribute to sustainable UGS development in targeting cities or regions in China.Yiyi HuangTao LinXiongzhi XueGuoqin ZhangYuqin LiuZhiwei ZengJunmao ZhangJinling SuiElsevierarticleUrban green spaceAvailabilitySpatial patternsInequityGeoDetectorEcologyQH540-549.5ENEcological Indicators, Vol 132, Iss , Pp 108275- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Urban green space Availability Spatial patterns Inequity GeoDetector Ecology QH540-549.5
spellingShingle	Urban green space Availability Spatial patterns Inequity GeoDetector Ecology QH540-549.5 Yiyi Huang Tao Lin Xiongzhi Xue Guoqin Zhang Yuqin Liu Zhiwei Zeng Junmao Zhang Jinling Sui Spatial patterns and inequity of urban green space supply in China
description	Urban green space (UGS) is essential to the improvement of human well-being and health, and the inequity of UGS supply has received widespread concern. The urban green space availability (UGSA) can effectively evaluate UGS supply. However, the UGSA under different daily transportation patterns has not received enough attention, as well as the potential of UGS that is not available by transportation patterns. Meanwhile, the inequity of UGS supply between cities with different economic development levels at the regional or national scale is still unclear. So, we constructed seven UGS indicators to represent the UGS supply: UGSA considering four kinds of daily transportation patterns (UGSA0.5 km, UGSA2.5 km, UGSA10km, and UGSA30km), the potential of UGS (PUGS), the proportion of PUGS (PPUGS), and stock of UGS indicator (SUGS). The spatial patterns of availability, potential, and stock of UGS in 366 cities on the Chinese mainland in 2015 were captured. Then, the concentration curve and concentration index (CI) were applied to describe the inequity of UGS supply between the cities. Finally, we used correlation analysis, regression analysis, and GeoDetector techniques to explore the driving factors of the spatial pattern of availability and potential of UGS. The results showed that: (1) The SUGS, PUGS, and PPUGS were lower in the southeastern region indicated by the Hu Huanyong Line than that in the northwestern region. Only 44.11% of China's UGS were available through the daily transportation patterns. The spatial patterns of the four UGSA were similar, while the UGSA30km’s hot spots appeared in Southwest China. (2) Less developed cities occupied more SUGS, PUGS, and PPUGS. With the increase of buffer radius, the equity of UGSA among cities was gradually improved, while developed cities always possessed more UGSA. (3) With the increase of buffer radius, the dominant driving factors of UGSA indicators gradually changed from social economy and infrastructure variables to physical geography variables. Our study provides new evidence for a comprehensive understanding of UGSA, and the results of UGS supply and its inequity will contribute to sustainable UGS development in targeting cities or regions in China.
format	article
author	Yiyi Huang Tao Lin Xiongzhi Xue Guoqin Zhang Yuqin Liu Zhiwei Zeng Junmao Zhang Jinling Sui
author_facet	Yiyi Huang Tao Lin Xiongzhi Xue Guoqin Zhang Yuqin Liu Zhiwei Zeng Junmao Zhang Jinling Sui
author_sort	Yiyi Huang
title	Spatial patterns and inequity of urban green space supply in China
title_short	Spatial patterns and inequity of urban green space supply in China
title_full	Spatial patterns and inequity of urban green space supply in China
title_fullStr	Spatial patterns and inequity of urban green space supply in China
title_full_unstemmed	Spatial patterns and inequity of urban green space supply in China
title_sort	spatial patterns and inequity of urban green space supply in china
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/c257c0f80848400886ce400fb811b4a9
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_version_	1718405625921142784

Spatial patterns and inequity of urban green space supply in China

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