基于空间句法和LBS大数据的合肥市人口分布空间格局研究

doi:10.13249/j.cnki.sgs.2018.11.008

Abstract

Abstract:

The space pattern of urban population distribution is a classical research topic of urban science and urban planning. In terms of the current research situation of urban population distribution, the LBS big data technology which is considered as a new method and tool to observe the urban spatial and temporal characteristics is introduced into the research of urban population distribution based on the traditional space syntax model. Then, a new idea of urban population distribution research with the integration of theoretical distribution and actual distribution is established. The case study in the central urban area of Hefei City shows that: the spatial clustering areas obtained respectively by space syntax model and LBS big data analyses are different in space. According to the comprehensive comparison of space syntax model and LBS big data analysis, the central urban area of Hefei City is divided into 3 types of population distribution including high density, medium density and low density. The high density zoning consists of the old town, Shushan district and Baohe district. The medium density zoning includes Binhu district, Luyang district and High-tech area. Meanwhile, the low density zoning consists of economic developing area and Yaohai district. Finally, the suggestions of population distribution development in different density partitions are proposed. The research shows that the timely and dynamic characteristics of LBS big data can make up for the shortcomings of traditional data and greatly broaden the source and timeliness of basic data. Obviously, this will enhance the accuracy of the study. And, more importantly, it will provide more accurate and efficient tools and methods combined with the classical space syntax model for the study of urban population distribution. In addition, it is hoped that this research can make some exploration and reference for expanding the practical application field of LBS big data.

Key words: space syntax, LBS big data, urban population distribution, Hefei city

CLC Number:

K901

Xiaorui Zhang, Qian Hua, Zhigang Cheng. Space Pattern of Urban Population Distribution Based on Space Syntax and LBS Big Data[J].SCIENTIA GEOGRAPHICA SINICA, 2018, 38(11): 1809-1816.

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References 21

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全局集成度	平均值			最小值			最大值			标准差
全局集成度	基期	末期		基期	末期		基期	末期		基期	末期
数值	1.0172	1.0877		0.5209	0.4073		1.7955	1.8461		0.2051	0.2240

全局集成度	平均值			最小值			最大值			标准差
全局集成度	基期	末期		基期	末期		基期	末期		基期	末期
数值	1.7846	1.9939		0.3313	0.3729		3.8136	4.2083		0.5809	0.6778

空间句法分析	LBS大数据分析	所属分区（是否吻合）
徽州大道区域	长江中路区域	老城区（吻合）
黄山路区域合作化路区域	五里墩立交桥区域潜山路立交桥区域	蜀山区（吻合）
黄山路区域太湖路区域徽州大道区域	金屯立交桥区域合工大南区地铁站出入口区域朱岗地铁站出入口区域	包河区（吻合）
徽州大道区域	滨湖世纪城区域	滨湖分区（吻合）
北一环路区域	----	庐阳区（不吻合）
黄山路区域	----	高新区（不吻合）

Space Pattern of Urban Population Distribution Based on Space Syntax and LBS Big Data

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