基于POI大数据的沈阳市住宅与零售业空间关联分析

doi:10.13249/j.cnki.sgs.2019.03.010

Abstract

Abstract:

It is a crucial research content of human-economic geography to quantitatively research the spatial correlation between urban residences with its price and the regional commercial service. Taking Shenyang City in Liaoning Province as a case study and using the residential and retail points of interest (POI) as a data source, this paper extracted the spatial clustering patterns of various residences based on the spatial kernel density analysis method, and then quantitatively expressed the correlation between commercial and residential spatial distribution. On this basis, this paper used the geo-statistical method to measure the spatial heterogeneity of houses prices and measured the impact of retail format layout on houses prices. Solutions presented in this research can be summarized as follows: The overall spatial aggregation characteristics of retailing are similar to that of dwellings, the distribution pattern of the central urban agglomeration and the multi-centers dispersion in the periphery city is presented. The correlation coefficient between retails’ density and residences’ density is 0.95. There is a strong correlation between residences, and some small-scale retails including supermarkets and convenience stores, the aggregation effect of shopping malls is lagging behind the urban dwellings. Large retail’ should be located in the Tiexi eco-technological development zone and other similar residential areas, in order to provide residents advanced shopping services. The inverted ‘U’ type spatial distribution model that houses prices presented is consistent with the attenuation characteristics of retail space’s density.

Key words: POI data, urban residential prices, correlation between commercial and residential space, Shenyang City

CLC Number:

F129.9

Bing Xue, Xiao Xiao, Jingzhong Li, Xiao Xie, Chengpeng Lu, Wanxia Ren. POI-based Spatial Correlation of the Residences and Retail Industry in Shenyang City[J].SCIENTIA GEOGRAPHICA SINICA, 2019, 39(3): 442-449.

Figures/Tables 7

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	住宅				零售业
	别墅（个）	宿舍（个）	住宅小区（个）	小计（个）	商场商厦（个）	超市（个）	便利店（个）	小计（个）
和平区	1	58	625	684	88	249	1247	1584
沈河区	4	44	701	749	108	258	2696	2062
皇姑区	5	40	559	604	26	184	1579	1789
大东区	1	23	544	568	45	215	1458	1718
铁西区	2	23	940	965	54	385	2308	2747
浑南区	49	39	531	619	46	188	882	1116
于洪区	16	10	609	635	39	274	1490	1803
沈北新区	2	103	247	352	31	133	645	809
苏家屯区	5	6	181	192	20	113	908	1041
总计	85	346	4937	5368	457	1999	13213	15669

POI-based Spatial Correlation of the Residences and Retail Industry in Shenyang City

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References 33

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