摘要
针对人口和房价问题的研究多基于地理空间单元,难以从更深层次、更多角度反映两者关系的问题,以武汉市主城区为例,在区县、街道、居民区3个空间尺度与工作和休息这两个时间节点上应用Kriging插值、区位熵、集聚指数等方法分析人口集聚和房价的分布特征及相关性,并在居民区尺度基于土地利用数据这非地理空间单元,对人口集聚和房价关系进行探讨。结果表明,房价与人口集聚分布具有趋同性,但并非完全同步,房价高值往往与人口集聚高值错开而分布在其周围;用地类别中,相对于居住人口,公共管理与公共服务设施用地,绿地与广场用地、公共设施用地类别房价受就业人口集聚影响更为显著。
The core of the problem of house price is the relationship between people and houses.The research on population and housing price is mostly based on geographical spatial units,which is difficult to reflect the relationship between them from a deeper and more perspective.Taking the main urban area of Wuhan as an example,Kriging interpolation,location entropy,agglomeration index and other methods should be used to analyze the distribution characteristics of population agglomeration and housing price in the three spatial scales of District,county,street and residential area and the two time nodes of work and rest Based on the non-geographic spatial unit of land use data,this paper discusses the relationship between population agglomeration and housing price.The results show that the distribution of housing price and population agglomeration is similar,but not completely synchronous.The high value of housing price is often staggered with the high value of population agglomeration and distributed around it.In the land use category,compared with the residential population,the housing price of public management and public service facilities,green land and square land,public facilities land is more significantly affected by the concentration of employment population.
作者
徐芳
孙立坚
李盼盼
翟亮
孙立
王涛涛
XU Fang;SUN Lijian;LI Panpan;ZHAI Liang;SUN Li;WANG Taotao(Faculty of Geomatics,Lanzhou Jiaotong University,Lanzhou 730070,China;Chinese Academy of Surveying and Mapping,Beijing 100036,China;School of Resource and Environmental Sciences,Wuhan University,Wuhan 430079,China;Wuhan Geomatics Institute,Wuhan 430022,China;Faculty of Land Resource Engineering of Kunming University of Science and Technology,Kunming 650000,China)
出处
《测绘科学》
CSCD
北大核心
2021年第7期173-181,共9页
Science of Surveying and Mapping
基金
自然资源部基本科研业务费项目(AR2014)
国家社会科学基金项目(18ZDA066)。
