Remote Sensing Technology and Application, Volume. 39, Issue 1, 209(2024)
Identification Method and Spatial Differentiation Mechanism of Shanghai Nighttime Economic Agglomeration Center from the "Generalized Symmetry Structure" Perspective
As a "New Blue Ocean" for urban consumption to increase employment, boost consumption and drive regional development, the night economy has gradually become a research hotspot in the "Post-Pandemic era". The “nighttime economic agglomeration center” is the core and foundation of the nighttime economic development, and there is no systematic studies available at home and abroad. As a social economic element, it has the characteristics of non-uniform symmetry and "grey clustering", so it cannot simply apply the traditional geographical clustering center identification method. Based on the theory of "point-axis system", this paper proposes a method to identify and extract the nighttime economic agglomeration centers, and uses the Geo-information Tupu of generalized symmetric to deconstruct the spatial pattern and differentiation mechanism of the nighttime economic agglomeration centers in downtown Shanghai. For the first time, this paper provides a systematic method reference for rapidly and accurately identifying the nighttime economic agglomeration centers and scientifically exploring their spatial distribution characteristics, and provides decision support for promoting the prosperity and sustainable development of nighttime economy. The results show that: within the central city of Shanghai, a total of 12 first-class nighttime economic agglomeration centers and 26 second-class nighttime economic agglomerations were extracted, and the average vitality values of the night-time economy were: 0.49 and 0.24, respectively.
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Lin WANG, Caihong OU, Hongwen ZHONG, Hanqiu XU. Identification Method and Spatial Differentiation Mechanism of Shanghai Nighttime Economic Agglomeration Center from the "Generalized Symmetry Structure" Perspective[J]. Remote Sensing Technology and Application, 2024, 39(1): 209
Category: Research Articles
Received: Apr. 12, 2023
Accepted: --
Published Online: Jul. 22, 2024
The Author Email: WANG Lin (wanglin@fzu.edu.cn)