Abstract

As the spatial structure of cities becomes increasingly complex and sustainable development goals are promoted, society places higher demands on the management and planning of cities. As the basic unit of urban analysis, the combination pattern and scale shape of urban spatial units are crucial for rational management and planning of cities. However, existing urban analysis management systems often adopt a prefabricated fixed cell division method, which is difficult to meet the needs of high precision and multi-scale analysis of urban information. Therefore, this paper proposes an interactive dynamic partitioning technology, and designs a multi-scale dynamic partitioning system for urban spatial units (SUPS), in order to meet the diverse needs of urban management and planning. The system consists of a data management module, a spatial unit module, an integration module and a visualization module. The system not only realises the multi-scale dynamic partitioning of spatial units in the form of interactive operation, but also obtains more detailed identification results by applying the multi-scale spatial units to the identification of urban functional areas, verifying the effectiveness and feasibility of the interactive multi-scale dynamic partitioning of spatial units, and providing a new technical support for fine urban management.

Details

Title
MULTI-SCALE DYNAMIC PARTITIONING SYSTEM OF URBAN SPATIAL UNITS
Author
Liang, T 1   VIAFID ORCID Logo  ; Jing, C 2 ; Zhuo, F 1 ; Feng, Y 1 ; Zhang, H 1 ; Y Fu 3 

 School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, China; School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, China 
 School of Information Engineering, China University of Geosciences, Beijing 100083, China; School of Information Engineering, China University of Geosciences, Beijing 100083, China 
 JD Logistics, JD Logistics, Beijing 100176, China; JD Logistics, JD Logistics, Beijing 100176, China 
Pages
405-411
Publication year
2023
Publication date
2023
Publisher
Copernicus GmbH
ISSN
21949042
e-ISSN
21949050
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2898124580
Copyright
© 2023. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.