Construction and application of an evaluation model for node radiation strength in urban commercial centers
CSTR:
Author:
Affiliation:

1.aCollege of Architecture and Urban Planning;2.bArchitectural Planning and Design Institute, Chongqing University, Chongqing 400045, P. R. China

Clc Number:

TU984

Fund Project:

Supported by the National Natural Science Foundation of China (51608063), and Chongqing Social Science Planning Project (2020YBGL74).

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    The agglomeration characteristics and radiation effects of urban commercial center nodes make them the “engines” driving urban development. Evaluating and applying the concept of “radiation ability” can deepen the understanding of the underlying mechanisms and provide guidance for urban renewal and planning practices. From the dimensions of “radiation source” and “radiation channel”, this study constructs an evaluation model for assessing the node radiation strength of urban commercial centers by selecting eight primary indicators and twenty-nine secondary indicators. Taking Chongqing’s five main business areas as examples, three principal component factors of radiation ability are extracted through principal components analysis : f1 (spatial interaction and communication), f2 (functional layout), and f3 (spatial structure). The radiation index (R) of the five business areas is then calculated, and the differences in radiation capability among them are analyzed based on R and the scores of each principal component. Finally, guided by the goal of improving the radiation strength of commercial center nodes, this study proposes spatial renewal and optimization pathways focusing on strengthening spatial propagation channels, enhancing functional features, and developing a multi-core spatial structure.

    Reference
    Related
    Cited by
Get Citation

王立,邬铃莉,肖竞,李平,王怀.城市商业中心节点辐射力评价模型建构及应用[J].重庆大学学报,2025,48(11):106~118

Copy
Related Videos

Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:December 05,2024
  • Revised:
  • Adopted:
  • Online: December 15,2025
  • Published:
Article QR Code