Research Article

Exploratory space data analysis of spatial patterns of large-scale retail commercial facilities: The case of Gulou District, Nanjing, China

  • Yao Fang 1 ,
  • Jianyuan Mao , 2 ,
  • Qinhua Liu 3 ,
  • Jinglin Huang 2
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  • 1. College of Architecture, Nanjing Tech University, Nanjing 211816, China
  • 2. College of Architecture and Urban Planning, Tongji University, Shanghai 200093, China
  • 3. Nanjing Academy of Urban Layout & Design., Ltd, Nanjing 210005, China

Received date: 29 Oct 2019

Accepted date: 21 Jan 2020

Published date: 15 Mar 2021

Copyright

2021 2021 Higher Education Press Limited Company. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Abstract

This study uses methods, such as a nearest proximity index, nuclear density, spatial interpolation, buffering zone, and overlay analysis, based on an exploratory spatial data analysis tool. It focuses on a large commercial facility in which a mathematical analysis is conducted on its spatial patterns. In the study, 45 large-scale retail commercial facilities (LSRCFs) in the Gulou District, Nanjing, China, were chosen, and the spatial concentration, density, and structure of the LSRCFs in this area were analyzed. Three additional factors, namely, population, transportation, and consumption, were examined to determine their impact on the spatial patterns of the LSRCFs. Finally, this study recommends a spatial layout for the future of the Gulou District according to the analysis results.

Cite this article

Yao Fang , Jianyuan Mao , Qinhua Liu , Jinglin Huang . Exploratory space data analysis of spatial patterns of large-scale retail commercial facilities: The case of Gulou District, Nanjing, China[J]. Frontiers of Architectural Research, 2021 , 10(1) : 17 -32 . DOI: 10.1016/j.foar.2020.02.002

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