摘要
公园绿地与城市人口、建设用地发展失调,会严重影响城市居民生活质量及城市可持续发展。将"公园绿地、城市人口、建设用地"纳入统一框架,采用基尼系数和离差系数方法,从全国、四大地区及不同规模城市尺度,分析三者在1996-2016年发展失调演化特征。研究表明:1)公园绿地与城市人口发展失调缓解,两者增长关联性逐步增加;公园绿地与建设用地协调发展趋势加强,"以地推绿"现象明显;应加强"以人为主,用地为辅"的公园绿地增长模式。2)全国"人-绿-地"失调程度不断缓解,协调发展范围不断扩大;根据三者失调发展状况,可将中国城市分为持续发展、人口集中、土地集中、发展严峻、发展平稳和发展波动六大类型。研究可揭示公园绿地与城市人口、建设用地发展动态关系,为优化人地资源配置提供科学依据。
The imbalanced development of park green space,urban population and construction land has seriously affected the quality of urban residents’life and urban sustainable development.In this research,we adopt the Gini coefficient and dispersion coefficient to analyze the evolution characteristics of park green space,population and construction land from 1996 to 2016 at the national,regional and urban scales.The results show that:1)The imbalanced development of park green space and population has been alleviated,and the correlation between the two is gradually increasing.The trend of coordinated development of park green space and construction land is reinforced.It is necessary to enhance the growth mode of park green space,taking people priority over land.2)The imbalanced development of park green space,urban population and construction land has been alleviated,and the scope of coordinated development has been expanded.Six types of cities can be divided according to the imbalance level,which are sustainable development,population concentration,land concentration,trudge development,stable development and unstable development.The research reveals the dynamic relationship of park green space,population and construction land development,and provides scientific basis for optimizing resource allocation.
作者
刘志强
刘俪胤
王俊帝
洪亘伟
LIU Zhiqiang;LIU Liyin;WANG Jundi;HONG Genwei(School of Architecture and Urban Planning,Suzhou University of Science and Technology.)
出处
《风景园林》
2020年第8期120-125,共6页
Landscape Architecture
基金
国家自然科学基金(编号51778389)
苏州科技大学风景园林学学科
江苏高校“青蓝工程”
江苏省企业研究生工作站(苏州园林设计院有限公司)。
关键词
风景园林
公园绿地
配置
失调
基尼系数
离差系数
中国
landscape architecture
park green space
allocation
imbalance
Gini coefficient
dispersion coefficient
China
