Autor: |
Yimeng Song, Bin Chen, Hung Chak Ho, Mei-Po Kwan, Dong Liu, Fei Wang, Jionghua Wang, Jixuan Cai, Xijing Li, Yong Xu, Qingqing He, Hongzhi Wang, Qiyan Xu, Yongze Song |
Jazyk: |
angličtina |
Rok vydání: |
2021 |
Předmět: |
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Zdroj: |
Environment International, Vol 156, Iss , Pp 106778- (2021) |
Druh dokumentu: |
article |
ISSN: |
0160-4120 |
DOI: |
10.1016/j.envint.2021.106778 |
Popis: |
Given the important role of green environments playing in healthy cities, the inequality in urban greenspace exposure has aroused growing attentions. However, few comparative studies are available to quantify this phenomenon for cities with different population sizes across a country, especially for those in the developing world. Besides, commonly used inequality measures are always hindered by the conceptual simplification without accounting for human mobility in greenspace exposure assessments. To fill this knowledge gap, we leverage multi-source geospatial big data and a modified assessment framework to evaluate the inequality in urban greenspace exposure for 303 cities in China. Our findings reveal that the majority of Chinese cities are facing high inequality in greenspace exposure, with 207 cities having a Gini index larger than 0.6. Driven by the spatiotemporal variability of human distribution, the magnitude of inequality varies over different times of the day. We also find that exposure inequality is correlated with low greenspace provision with a statistical significance (p-value |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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