| 英文摘要： |
Quantifiable information on urban green spaces (UGS) (with their quality and distribution) is critical for sustainable urban development. The timely monitoring of UGS quality allows us to reveal relevant spatial differentiation laws at different scales and propose effective green planning guides. However, UGS quantity and quality in China remain unknown owing to a lack of large-scale studies. We utilized an urban neighborhood green index (UNGI) model to accurately characterize the UGS quality at a 100-m grid-scale in Chinese built-up areas using the FROM-GLC10 land-cover product and building height data. Furthermore, we explored the differentiation law of UGS quality at various spatial scales and its influencing factors using the geographic detector model. The results demonstrate that the average UNGI value in China is 52.17, and its overall quality is at a medium level. The UNGI values in most cities present a spatial differentiation pattern of low core and high periphery. UNGI values in the western and northeastern regions are slightly higher than those in the eastern and central regions. At the urban scale, the UNGI values in most cities are from 45 to 60. At the urban functional area scale, the UNGI values for public service land are significantly higher than those for other urban functional areas. Furthermore, the UGS quality correlates with different hierarchical cities and urbanization development stages. The UNGI values in super-megacities, megacities, and small cities are higher than those in large and medium cities. Additionally, the UGS quality in the final urbanization development stage was significantly higher than that in the initial stage. The geographic detector model's results demonstrate that numerous and complex factors affect the UGS quality, and population plays a dominant role in UGS. These results can assist urban administrators in green space planning and sustainable urban development. |
在线留言
联系我们
所长信箱