Research on the Characteristics of Population Spatial Organization in Metropolitan Circles:Based on the Perspective of Geography and Network Circle Layer Nesting
Clarifying the population distribution characteristics and problems of metropolitan circles is an im-portant prerequisite for promoting high-quality integration of metropolitan circles.Based on the circle structure theo-ry of metropolitan circle,this paper makes a comparative analysis of the population spatial organization characteris-tics of two typical metropolitan circles of Shanghai and Beijing from the perspective of geographical circle layer and network circle layer with the spatial analysis technology and social network analysis method.The results show that:(1)The population distribution of Shanghai metropolitan circle presents multi-"spark"cluster agglomeration,while the single-center population agglomeration mode is prominent in Beijing;(2)Comparing the population size from the perspective of geographical circle-layer,it is found that the core areas of Beijing and Shanghai metropoli-tan circles are more densely populated than those of Tokyo and New York,but the population growth rate decreases,and significant results are achieved in relieving the non-core functions of the core areas,while the middle and outer ring layers show a high population carrying space;(3)The spatial correlation of population is established to explore the population network circle structure of the two metropolitan circles,and it is found that the overall population of Shanghai metropolitan circle is more correlated and the interaction between plates is closer;and(4)Nesting the pop-ulation flow in the network circle layer into the geographical circle layer,it is found that the high-frequency popula-tion flow sections all are located in the core circle layer of the two metropolitan circles,but the internal members and inter circle layers of Shanghai metropolitan circle are more closely connected than Beijing metropolitan circle.This research has significance of reference for improving the spatial pattern of metropolitan circles in the future.
万方数据
维普
