Assessing Green Space Potential Accessibility through Urban Artificial Building Data in Nanjing, China
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Data and Pre-Processing
2.3. Methods
2.3.1. Spatial Pattern Analysis
2.3.2. Accessibility Analysis
3. Results
3.1. Provision and Spatial Pattern of Green Space
3.2. Spatial Pattern of Building
3.3. Green Space Accessibility
4. Discussion
4.1. Demographic Data
4.2. Walking Distance
4.3. Green Space Provision
4.4. Limitations and Directions for Future Work
5. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Du, X.; Zhang, X.; Wang, H.; Zhi, X.; Huang, J. Assessing Green Space Potential Accessibility through Urban Artificial Building Data in Nanjing, China. Sustainability 2020, 12, 9935. https://doi.org/10.3390/su12239935
Du X, Zhang X, Wang H, Zhi X, Huang J. Assessing Green Space Potential Accessibility through Urban Artificial Building Data in Nanjing, China. Sustainability. 2020; 12(23):9935. https://doi.org/10.3390/su12239935
Chicago/Turabian StyleDu, Xindong, Xiaoke Zhang, Huan Wang, Xiaojuan Zhi, and Jianyuan Huang. 2020. "Assessing Green Space Potential Accessibility through Urban Artificial Building Data in Nanjing, China" Sustainability 12, no. 23: 9935. https://doi.org/10.3390/su12239935