Journal of Guangdong University of Technology ›› 2019, Vol. 36 ›› Issue (04): 70-79.doi: 10.12052/gdutxb.190017

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A Quantitative Research on Spatial Morphology of Old Residential Neighborhoods in Lingnan Area Based on Multi-source Big Data

Huang Jian-wen1,2,3, Zhu Xue-mei1,2,3, Xu Ying4, Xiong Lu4, Zhang Wei-guo1   

  1. 1. School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, China;
    2. Urban Renewal Professional Committee, China Society for Urban Studies, Guangzhou 510090, China;
    3. Guangzhou Humanities and Social Sciences Key Base, Guangzhou 510090, China;
    4. School of Architecture, South China University of Technology, Guangzhou 510641, China
  • Received:2019-01-16 Online:2019-06-18 Published:2019-06-18

Abstract: Research on the old residential neighborhoods is promoted by the redevelopment activities in the recent years. From the perspective of physical spatial morphology, combined with the multi-source big data, 75 samples of old residential neighborhoods in the Lingnan area are collected, and using quantitative indicators related to the buildings and roads from the micro-spatial level of the city, a quantitative statistics research is conducted. Through the correlation analysis from the quantitative indicators, the relationship between the various factors affecting the spatial morphology is analyzed from the three groups of indicators about the building measurement, road measurement and building dimension.

Key words: spatial morphology, quantitative research, old residential neighborhoods, multi-source big data

CLC Number: 

  • TU984.2
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