URBAN DESIGN International

, Volume 24, Issue 4, pp 260–270 | Cite as

Format compositions and spatial distribution characteristics of central districts in megacities: People’s Square and Shanghai’s Lujiazui District

  • Yi Shi
  • Xinyu Hu
  • Huiya Yang
  • Junyan YangEmail author
Original Article


Central urban areas have become more complex and comprehensive over the last several decades. Today, the study of these areas must include an understanding of urban spatial structure and morphology. However, the predominant research perspective comes from the current interdisciplinary quantitative discussion of the spatial form of urban space structures, rather than from the use of formats to quantitatively examine urban centers or business districts. The business mode is an important aspect of research in central areas and is more reflective of the core characteristics of the urban center. This study provides an in-depth examination of the industrial morphology of urban centers, especially that of megacities. To do so, the study utilizes both quantitative and qualitative methods of case choice and kernel density analysis to link urban industrial form data with urban spatial structure. The purpose of this research is to determine the association between urban industrial form data and the relationship between urban spatial structure and urban morphology, as well as summarize the related characteristics from data and spatial statistics results. In exploring this relationship, this study addresses significant research gaps while contributing to spatial planning and related policy-making in the central urban district.


Urban central areas Spatial structures Industrial form data 



This study is supported by the National Natural Science Foundation of China (Grant Nos. 51708296 and 51708103) and China Postdoctoral Science Foundation (Grant No. 2017M611823).


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Copyright information

© Springer Nature Limited 2018

Authors and Affiliations

  1. 1.Southeast UniversityNanjingChina
  2. 2.Nanjing Forestry UniversityNanjingChina

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