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作 者:陈仁澍 余洁[1,2] 谢东海[1,2] 朱琳[1,2] 焦帅[1,2] CHEN Renshu;YU Jie;XIE Donghai;ZHU Lin;JIAO Shuai
机构地区:[1]首都师范大学资源环境与旅游学院 [2]首都师范大学三维信息获取与应用教育部重点实验室
出 处:《现代城市研究》2020年第7期75-82,共8页Modern Urban Research
基 金:国家自然科学基金:地表载荷作用下MTINSAR城市地面沉降监测及时空多尺度演化规律挖掘(41671417);北京市科学基金:科技创新服务能力建设基本科研业务费(科研类)(025185305000/191).
摘 要:通过夜间灯光数据识别了北京市城市主中心与子中心,以城市多中心为视角,采用空间自相关分析方法,探讨北京市住宅容积率的时空分布特征与分异规律。研究结果表明:①北京市住宅小区空间分布与北京市城市中心的空间范围具有较高的一致性;②随着时间的推移,北京市住宅小区容积率逐渐呈现显著的空间自相关性,即新建住宅小区之间的容积率相似度不断增强,反映了住宅开发时容积率的设定更加规范科学;③局部自相关分析表明北京市住宅容积率总体呈现高值(HH)集聚区被低值(LL)集聚区包围的态势,容积率高值集聚区主要分布于区位交通条件较好的三环、四环沿线及望京地区,而容积率低值(LL)集聚区主要分布于城市主中心边界及各城市子中心周边区域。We proposed to identify main,sub-centers of Bejjing by night lighting data,and explored the spatial and temporal distribution characteristics of residential floor area ratio(FAR)of Beijing by spatial autocorrelation analysis method from the perspective of polycentricity.The results show that:①The spatial distribution of Beijing residential quarters is in high consistency with the spatial scope of Beijing urban center;②The FAR of residence in Beijing gradually presents a signifcant spatial autocorrelation characteristic as time goes on.The FAR of newly-built residential quarters shows a significant spatial autocorrelation pattern,reflecting the gradual improvement of residential development and planning guidance;③The local spatial autocorrelation shows that high-high clusters surrounded by the low-low clusters of residential quarters FAR.With the influence of location,transportation,infrastructure construction and land price,the third,fourth ring roads and Wangjing region become the high-high clusters of residential FA R.Moreover,the low-low clusters of FA R are mainly among the boundary of the main center and each sub centers.
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