Multi-level urban spatial distribution pattern recognition method, device and system, and storage medium

Through the method supported by the skeleton line, a dual model of road network is constructed and combined with the entropy value method and minimum spanning tree analysis, the limitations of single-level recognition in the existing technology are solved, and multi-level pattern recognition of urban spatial distribution is realized, which improves the comprehensiveness and accuracy of recognition.

CN120562089APending Publication Date: 2025-08-29LANZHOU JIAOTONG UNIV
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Patent Information

Application Number
CN202510326644.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-19
Publication Date
2025-08-29

AI Technical Summary

Technical Problem

In the recognition of urban spatial distribution pattern, most of the prior art are limited to a single level, and it is difficult to fully reflect the complex characteristics and multi-level correlation of urban spatial structure.

Method used

Using the method supported by the skeleton line, the road network dual model was constructed, combined with the entropy value method and the minimum spanning tree analysis, the multi-level modes of the road network, mesh and building groups were extracted and identified, and the road importance scores were calculated using indicators such as length, connectivity, proximity and mediation, and spatial patterns at different levels were identified through morphological quantization and cluster analysis.

Benefits of technology

The comprehensive identification of the multi-level pattern of urban spatial structure is achieved, the comprehensiveness, efficiency and accuracy of the identification are improved, and the complexity, efficiency and accuracy of the identification can be effectively reflected in the complex characteristics and multi-level correlation of urban space.

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Abstract

The invention discloses a method, a device and a system for identifying a multi-level urban space distribution mode under the support of a skeleton line, and a storage medium, and belongs to the technical field of urban space analysis, and the method comprises the steps: S1, constructing a road network dual model and an evaluation system; s2, extracting macroscopic, mesoscopic and microscopic skeleton lines according to the road network dual model; s3, extracting road meshes and building groups based on the skeleton lines; and S4, analyzing the angle distribution characteristics based on the minimum spanning tree, and identifying the multi-level spatial pattern. By adopting the technical scheme of the invention, the comprehensiveness, efficiency and accuracy of pattern recognition can be improved, and the complex characteristics of the urban space structure can be better revealed.
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