Journal of Data Analysis and Information Processing

Volume 8, Issue 1 (February 2020)

ISSN Print: 2327-7211   ISSN Online: 2327-7203

Google-based Impact Factor: 1.33  Citations  

Research on Spatial Pattern and Its Industrial Distribution of Commercial Space in Mianyang Based on POI Data

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DOI: 10.4236/jdaip.2020.81002    319 Downloads   517 Views   Citations
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ABSTRACT

The rational layout of urban commercial space is conducive to optimizing the allocation of commercial resources in the urban interior space. Based on the commercial POI (Point of Interest) data in the central district of Mianyang, the characteristics of urban commercial spatial pattern under different scales are analyzed by using Kernel Density Estimation, Getis-Ord , Ripley’s K Function and Location Entropy method, and the spatial agglomeration characteristics of various industries in urban commerce are studied. The results show that: 1) The spatial distribution characteristics of commercial outlets in downtown Mianyang are remarkable, and show a multi-center distribution pattern. The hot area distribution of commercial outlets based on road grid unit is generally consistent with the identified commercial density center distribution. 2) The commercial grade scale structure has been formed in the central urban area as a whole, and the distribution of commercial network hot spots based on road grid unit is generally consistent with the identified commercial density center distribution. 3) From the perspective of commercial industry, the differentiation of urban commercial space “center-periphery” is obvious, and different industries show different spatial agglomeration modes. 4) The multi-scale spatial agglomeration of each industry is different, the spatial scale of location choice of comprehensive retail, household appliances and other industries is larger, and the scale of location choice of textile, clothing, culture and sports is small. 5) There are significant differences in specialized functional areas from the perspective of industry. Mature areas show multi-functional elements, multi-advantage industry agglomeration characteristics, and a small number of developing areas also show multi-advantage industry agglomeration characteristics.

Cite this paper

Zheng, D. and Li, C. (2020) Research on Spatial Pattern and Its Industrial Distribution of Commercial Space in Mianyang Based on POI Data. Journal of Data Analysis and Information Processing, 8, 20-40. doi: 10.4236/jdaip.2020.81002.

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