Urban Expansion Cellular Automata Simulation by Coupling Hierarchical Driving Mechanism of Cell and Patch Scales

被引：0

作者：

Wang Y. ^{[1
]}

Wang H. ^{[1
,2
]}

Zhou X. ^{[2
,3
,5
]}

Zhang B. ^{[4
,5
,6
]}

Zhou X. ^{[2
,3
,5
]}

机构：

[1] School of Resource and Environmental Science, Wuhan University, Wuhan

[2] Key Laboratory of Spatial Intelligent Planning Technology, Ministry of Natural Resources, Shanghai

[3] College of Architecture and Urban Planning, Tongji University, Shanghai

[4] School of Public Administration, China University of Geosciences, Wuhan

[5] Guangdong- Hong Kong- Macau Joint Laboratory for Smart Cities, Shenzhen

[6] Key Laboratory of the Ministry of Natural Resources for Research on Rule of Law, Wuhan

来源：

Journal of Geo-Information Science | 2023年 / 25卷 / 09期

基金：

中国国家自然科学基金;

关键词：

cellular automata model; driving mechanism; hierarchical relationship; network structure; Shanghai metropolitan area; spatial heterogeneity; urban construction land; urban land expansion;

D O I：

10.12082/dqxxkx.2023.230261

中图分类号：

学科分类号：

摘要：

Requirements for the territorial spatial planning of the new era pose new challenges to the relationship between urban land expansion and agricultural and ecological spaces. Urban expansion is closely related to social and economic development as well as ecological environment protection. It is of great significance to study the urban expansion for promoting the urbanization process. The simulation of urban expansion can provide scientific support for formulating territorial spatial planning policies. The spatial characteristics of urban construction land patches are important factors affecting the expansion of urban land and are at different levels against the cell level. Therefore, hierarchically coupling the spatial characteristics of cells and patches can improve the simulation accuracy. Taking the Shanghai metropolitan area as an example, this paper constructs a cellular automata model (Spatial Network - Hierarchical Generalized Linear - Cellular Automata, SN-HGLM-CA) that takes into account both the spatial network structure of urban construction land and the hierarchical relationship of variables. Firstly, the spatial characteristics of patches are extracted through the spatial network model of urban construction land. The hierarchical relationship between variables is considered by using the HGLM to obtain the suitability probability of urban land expansion, and then embedded into the cellular automata model for urban land expansion simulation. This study draws the following research conclusions: ① The spatial network model based on urban construction land patches is of great significance for identifying the spatial importance characteristics of urban construction land and mining its expansion patterns; ② The HGLM model can reveal the hierarchical relationship between cells and patches during urban construction land expansion, which helps to improve the simulation accuracy of the cellular automata model; ③ The simulation of urban land expansion based on the SN-HGLM-CA model achieves good results in terms of simulation accuracy and landscape morphology, with the landscape similarity index exceeding 95%. In addition, compared to the SN-Logistic-CA model, the figure of merit value of our simulation increases by about 6.61%, which indicates that our simulation not only accurately reproduces the actual layout of urban construction land, but also improves the compactness of patch distribution. This paper explores the law of urban expansion from the spatial network structure characteristics of urban expansion, which can help urban planners to determine the reasonability of current trend considering the development status of urban expansion, and provide reference for the delineation of urban development boundaries. © 2023 Journal of Geo-Information Science. All rights reserved.

引用

页码：1784 / 1797

页数：13

共 45 条

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