| 摘要: |
| 探究公园绿地与城市功能空间的分布关系及其演变
特征，是促进二者高效协同发展的基础。基于POI及土地利用
数据，借助核密度分析、双变量Ripley's K函数等方法，以
南京为例揭示了2012、2016、2020年公园绿地、各城市功
能空间的时空关联关系及其演变规律。结果表明：1)公园绿
地、各城市功能空间分布呈现古城聚集并向主城外围扩散趋
势；2)主城区范围内，分别以公园绿地视角观察功能空间、
以功能空间视角观察公园绿地，均呈现逐年减弱的聚集趋势，
且距离阈值、变化趋势双向趋同；3)古城区范围内，城市功
能空间在公园绿地周边聚集，除商业、居住空间聚集强度先增
加后降低外，其余均持续增强，而公园绿地在各城市功能空间
周边呈现逐年减弱的离散模式。研究结果有助于深化公园绿地
与城市空间演化理论，为二者高效协同和高品质人居环境营造
提供科学支撑和规划依据。 |
| 关键词: 风景园林 公园绿地 城市功能空间 时空关联 POI 双变量Ripley's K函数 南京 |
| DOI： |
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| 基金项目: |
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| Spatiotemporal Correlation Characteristics between Park Green Space and Urban Functional Space in Nanjing—Based on Ripley's K Function and POI Data |
| WU Xuan,SHAO Dawei,WU Dianming |
| Abstract: |
| To explore the distribution relationship and evolution
characteristics of park green space and urban functional space is the
basis for promoting their efficient and coordinated development.
Based on POI and land use data, with the help of kernel density
analysis, bivariate Ripley's K function and other methods, this
paper takes Nanjing as an example to reveal the spatiotemporal
relationship and evolution law of park green space and urban
functional space in 2012, 2016 and 2020. The results show that:
1) The spatial distribution of park green space and urban functions
presents the trend of ancient city agglomeration - peripheral
diffusion of the main city; 2) Within the main urban area, the
distribution of each other is observed from the perspective of park
green space and each urban functional space, showing a decreasing
aggregation mode year by year, and the distance threshold and
change trend converge in both directions; 3) Within the scope of
the ancient city area, the urban functional space is gathered around
the park green space as a whole. Except that the concentration
intensity of commercial and residential space first increases and then
decreases, the rest continues to increase; and the park green space
around the urban functional space presents a discrete pattern of
weakening year by year. The results will help to deepen the theory
of park green space and urban space evolution, in order to provide
scientific support and planning basis for the efficient coordination
and high-quality human settlements. |
| Key words: landscape architecture park green space urban
functional space spatiotemporal correlation POI bivariate Ripley's
K function Nanjing |
