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Data Details

Commercial Districts Analysis Dataset of Beijing Megalopolis (2013)


WANG Fang1,2GAO Xiaolu2XU Zening2,3
1 School of Public Management of Inner Mongolia University，Hohhot0100702 Key Laboratory of Regional Sustainable Development Modeling，Institute of Geographic Sciences and Natural Resources Research，CAS，Beijing 100101，China3 University of Chinese Academy of Sciences，Beijing 100049，China

DOI:10.3974/geodb.2016.03.03.V1

Published:Jun. 2016

Visitors：13548       Data Files Downloaded：370      
Data Downloaded：81.83 MB      Citations：

Key Words：

commercial district,spatial pattern,function types,Beijing megalopolis,Geographical Research

Abstract：

Commercial districts, which accommodate various commercial activities such asshopping, leisure, and business, are regarded as an important part of BeijingMegalopolis. Based on the collection of the commercial districts with the95466 POI (point of interest) and road network data of Beijing Megalopolis in 2013 and the K-means clustering analysis methodology, the Commercial districtsanalysisdataset of BeijingMegalopolis (2013) was developed. The dataset is calculated based on the five function types of the commercial districts, they are: cuisine culturestreets, professional wholesale markets, large-scale shopping centers, convenience services, andcommon commercial centers functioning between large- scale shopping centers andconvenience services.The statistics of the classification and functional characteristics of each of the five commercial districts were listed at the dataset. The dataset with both spatial and attribute data is archived at .shp data format, and the compressed data size is 227KB. The research paper on the dataset was published at the Journal of Geographical Research, No. 6, Vol.34, 2015.

Foundation Item：

National Natural Science Foundation of China (41171138), Chinese Academy of Sciences (KZZD-EW-06)

Data Citation：

WANG Fang, GAO Xiaolu, XU Zening. Commercial Districts Analysis Dataset of Beijing Megalopolis (2013)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2016. https://doi.org/10.3974/geodb.2016.03.03.V1.

Data Product:

ID Data Name Data Size Operation
1 ComDistDataBeijing_2013.rar 226.48KB
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