Title :
Coupling Relationship between Commercial Spatial Structure and Population Based on the Point Pattern Analysis and Coupling Model: A Case Study in Beijing
Author :
Wang Fang ; Zhen Maocheng ; Gao Xiaolu
Author_Institution :
Key Lab. of Regional Sustainable Dev. Modeling, Inst. of Geographic Sci. & Natural Resources Res., Beijing, China
Abstract :
On the basis of the locations of all the commercial networks extracted from POI data in Beijing, this paper used the point pattern analysis and the construction of the coupling model to investigate the spatial pattern of different formats of commercial networks in Beijing, and the coupling of commercial networks and population on the scale of housing block. This research takes the central of Beijing city and suburban areas as the study area. The results show that: (1) Shopping malls, supermarkets and convenience stores are all spatial agglomeration types. And the clustering districts distribution of different formats of commercial networks varies in Beijing. The gathering areas of most formats of commercial networks distributed mainly within the Fourth Ring Road. (2) The L (d) curve shows that shopping malls and convenience stores belongs to the inverted "U" type, which indicates commercial outlets gathered first, and then tended to dispersed within a certain range. The curve of supermarket shows a rising type, indicating that with the increasing distance radius, the convergence degree gradually increased. (3) There are still many mismatches in the coupling relationship between commercial spatial pattern and population on the housing block scale. Senior commercial facilities and common living facilities are both poor in the peri-urban areas. At the same time, there are also some "blind spot" which are low coupled with population in the inner city.
Keywords :
demography; statistical analysis; town and country planning; Beijing city; Fourth Ring Road; clustering districts distribution; commercial networks; commercial spatial structure; common living facilities; convenience stores; coupling model; peri-urban areas; point pattern analysis; population; senior commercial facilities; shopping malls; spatial agglomeration types; statistic analysis; suburban areas; supermarkets; Cities and towns; Couplings; Distribution functions; Graphical models; Roads; Sociology; Statistics; Beijing; Commercial Spatial Structure; Format; Population Couple;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2014 7th International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-6635-6
DOI :
10.1109/ICICTA.2014.226