摘要
文中结合现场调研和POI地理空间大数据,运用ArcGIS空间分析法,耦合协调度模型,探究了游憩与居住空间的分布格局及其多尺度下二者空间的耦合协调关系。研究发现:1)游憩与居住空间的空间分布存在一定相似性,呈现出“核心-边缘”的特征。2)游憩与居住空间呈现出显著的集聚特征,从集聚强度来看,依次为:居住空间、康体健身型、商业娱乐型、文化休闲型、绿地生态型。从集聚规模来看,依次为:康体健身型、文化休闲型、绿地生态型、商业娱乐型、居住空间。3)游憩空间的数量随着与居住空间距离的增加呈现出先增加后减少的趋势,居住空间0-500m的半径范围内,游憩空间分布最为集中,便利协同程度最高。4)城市中心区域游憩与居住空间耦合情况较好,外围区域耦合情况较差。不同尺度下,二者空间的耦合情况有所差异。其中,街道尺度下,商业娱乐型游憩空间与居住空间存在极度耦合协调区域;格网尺度下,各类游憩空间与居住空间均存在极度耦合协调区域。
This study combines field research and POI geospatial data with ArcGIS spatial analysis and coupled coordination model to investigate the distribution pattern of recreational and residential spaces and their spatial coupling and coordination relationship at multiple scales.It is found that:1)The spatial distributions of recreational and residential spaces are similar to a certain extent,presenting a"core-edge"feature.2)Recreational and residential spaces exhibit significant agglomeration characteristics.From the perspective of agglomeration intensity,they are:residential space,recreation-fitness type,commercial-entertainment type,cultural-leisure type,and green ecological type.From the perspective of agglomeration scale,they are sequentially classified as follows:recreation-fitness type,cultural-leisure type,green ecological type,commercial-entertainment type,and residential space.3)The number of recreation spaces increases and then decreases with the increase of distance from residential space.Within the radius of 0-500m of residential space,the distribution of recreation spaces is concentrated mostly and the degree of convenience and cooperation is the highest.4)The coupling of recreational and residential spaces is better in the central area of the city,and the coupling is worse in the peripheral area.Under different scales,the spatial coupling of the two differs.At the scale of streets,there are extremely coupled and coordinated areas between commercial-entertainment space and residential space.at the scale of grid,there are extremely coupled and coordinated areas between all kinds of recreational space and residential space.
作者
赵雪纯
菊春燕
ZHAO Xuechun;JU Chunyan(School of Public Administration(Law School),Xinjiang Agricultural University,Urumqi 830052,China)
出处
《干旱区资源与环境》
CSSCI
CSCD
北大核心
2024年第2期78-87,共10页
Journal of Arid Land Resources and Environment
基金
国家自然科学基金项目(41901333)资助。
关键词
POI数据
游憩空间
居住空间
耦合协调关系
POI date
recreation space
residential space
coupling coordination relationship
