太阳成8722(中国)有限公司-GREEN NO.1

标题：Street Centralities and Land Use Intensities Based on Points of Interest (POI) in Shenzhen, China

作者： Wang, S (Wang, Shuai); Xu, G (Xu, Gang); Guo, QS (Guo, Qingsheng)

来源出版物：ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 卷：7期：11 文献编号：425 DOI：10.3390/ijgi7110425 出版年： NOV 2018

摘要：  Urban land use and transportation are closely associated. Previous studies have investigated the spatial interrelationship between street centralities and land use intensities using land cover data, thus neglecting the social functions of urban land. Taking the city of Shenzhen, China, as a case study, we used reclassified points of interest (POI) data to represent commercial, public service, and residential land, and then investigated the varying interrelationships between the street centralities and different types of urban land use intensities. We calculated three global centralities ("closeness", "betweenness", and "straightness") as well as local centralities (1-km, 2-km, 3-km, and 5-km searching radiuses), which were transformed into raster frameworks using kernel density estimation (KDE) for correlation analysis. Global closeness and straightness are high in the urban core area, and roads with high global betweenness outline the skeleton of the street network. The spatial patterns of the local centralities are distinguished from the global centralities, reflecting local location advantages. High intensities of commercial and public service land are concentrated in the urban core, while residential land is relatively scattered. The bivariate correlation analysis implies that commercial and public service land are more dependent on centralities than residential land. Closeness and straightness have stronger abilities in measuring the location advantages than betweenness. The centralities and intensities are more positively correlated on a larger scale (census block). These findings of the spatial patterns and interrelationships of the centralities and intensities have major implications for urban land use and transportation planning.

入藏号：WOS:000451313900012

文献类型：Article

语种：English

作者关键词： street network; land use intensity; street centralities; POI; complex network

通讯作者地址： Xu, G; Guo, QS (reprint author), Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.
Guo, QS (reprint author), Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Hubei, Peoples R China.

电子邮件地址：2010282050194@whu.edu.cn; xugang@whu.edu.cn; guoqingsheng@whu.edu.cn

地址：[Wang, Shuai; Xu, Gang; Guo, Qingsheng] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.
[Guo, Qingsheng] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Hubei, Peoples R China.

影响因子：1.723