Abstract
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 < 0.05). The inadequate provision may result from various factors, such as dry cold climate and urbanization patterns. Our study provides evidence and insights for central and local governments in China to implement more effective and sustainable greening programs adjusted to different local circumstances and incorporate the public participatory engagement to achieve a real balance between greenspace supply and demand for developing healthy cities. © 2021 The Author(s). Published by Elsevier Ltd.
| Original language | English |
|---|---|
| Article number | 106778 |
| Journal | Environment International |
| Volume | 156 |
| Online published | 22 Jul 2021 |
| DOIs | |
| Publication status | Published - Nov 2021 |
| Externally published | Yes |
Funding
Yimeng Song was supported by a grant from the National Natural Science Foundation of China (Grant NO. 42001385). Bin Chen was supported by the University of Hong Kong HKU-100 Scholar Fund. Mei-Po Kwan was supported by grants from the Hong Kong Research Grants Council (General Research Fund Grant no. 14605920, 14611621; Collaborative Research Fund Grant no. C4023-20GF) and a grant from the Research Committee on Research Sustainability of Major Research Grants Council Funding Schemes of the Chinese University of Hong Kong. Yong Xu was supported by a grant the National Natural Science Foundation of China (Grant NO. 42071394) and the Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources of China (Grant No. KF-2019-04-028). Qingqing He was supported by a grant from the Fundamental Research Funds for the Central Universities (WUT: 203208002). The authors would also thank the editor and three anonymous reviewers for providing valuable comments and suggestions, which are greatly helpful in improving this manuscript.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
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SDG 17 Partnerships for the Goals
Research Keywords
- China
- Cities
- Climate
- Humans
- Parks, Recreational
- Urbanization
- Urban environment
- Environmental inequality
- Healthy city
- Greenspace exposure
- Spatial heterogeneity
Publisher's Copyright Statement
- This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/
RGC Funding Information
- RGC-funded
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