Research on renewal and transformation of urban negative space based on AI spatial identification technology
DOI: 10.23977/jceup.2023.050308 | Downloads: 20 | Views: 430
Author(s)
Jia You 1
Affiliation(s)
1 School of Architecture and Art, Central South University, Changsha, Hunan, 410083, China
Corresponding Author
Jia YouABSTRACT
This paper aims to study the renewal and transformation of urban negative space based on AI spatial identification technology, and takes Deya Road in Changsha as a typical case for field investigation. On the basis of data analysis based on the establishment of the standard model, through the feature analysis of Deya Road negative space and the data analysis of the standard model, combined with AI image space recognition technology and algorithm-based logical thinking, the paper summarizes the spatial feature points of the negative space for digital translation, providing data sources and evaluation criteria for AI machine learning. At the same time, the probability of success of spatial identification and spatial model library are established. Combining with the record of quantitative data, the positive countermeasures are put forward for the negative spatial remodeling of streets.
KEYWORDS
Spatial Identification; Negative Space; Urban Regeneration; Deya RoadCITE THIS PAPER
Jia You, Research on renewal and transformation of urban negative space based on AI spatial identification technology. Journal of Civil Engineering and Urban Planning (2023) Vol. 5: 58-64. DOI: http://dx.doi.org/10.23977/jceup.2023.050308.
REFERENCES
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