中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Collaborative Optimal Allocation of Urban Land Guide by Land Ecological Suitability: A Case Study of Guangdong-Hong Kong-Macao Greater Bay Area

文献类型:期刊论文

作者Pan, Tingting1; Zhang, Yu1; Yan, Fengqin1; Su, Fenzhen1
刊名LAND
出版日期2023-04-01
卷号12期号:4页码:754
关键词land ecological suitability NSGA-II minimum cumulative resistance model urban agglomerations urban land optimization
DOI10.3390/land12040754
文献子类Article
英文摘要Urban land optimization in urban agglomerations plays an important role in promoting territorial spatial planning to achieve high-quality development, land ecological suitability (LES) is one of the important variables influencing its urbanization and needs to be considered in urban growth simulation and modeling. This research proposed a multi-objective urban land optimization (MULO) model based on the non-dominated sorting genetic algorithm II (NSGA-II) which integrates the LES assessment. MULO starts with LES analysis based on a fuzzy analytical hierarchy process (AHP) and a minimum cumulative resistance (MCR) model. Then, two-step linear regression is used to optimize the quantity structure of built-up land. Finally, suitability and compactness are assigned to NSGA-II as objectives to obtain optimal spatial patterns. Taking the example of the Guangdong-Hong Kong-Macao Greater Bay Area, we found that all the newly added built-up land in 2030 is distributed in peri-urban areas around the original settlements, with approximate clustering in the northern part of Guangzhou and the southern part of Foshan under a balanced development scenario. This study highlights the importance of LES in urban growth modeling, and MULO can provide effective support for the spatial planning of urban agglomerations.
学科主题Environmental Sciences & Ecology
WOS关键词USE OPTIMIZATION ; CITY
语种英语
出版者MDPI
源URL[http://ir.igsnrr.ac.cn/handle/311030/193505]  
专题资源与环境信息系统国家重点实验室_外文论文
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Pan, Tingting,Zhang, Yu,Yan, Fengqin,et al. Collaborative Optimal Allocation of Urban Land Guide by Land Ecological Suitability: A Case Study of Guangdong-Hong Kong-Macao Greater Bay Area[J]. LAND,2023,12(4):754.
APA Pan, Tingting,Zhang, Yu,Yan, Fengqin,&Su, Fenzhen.(2023).Collaborative Optimal Allocation of Urban Land Guide by Land Ecological Suitability: A Case Study of Guangdong-Hong Kong-Macao Greater Bay Area.LAND,12(4),754.
MLA Pan, Tingting,et al."Collaborative Optimal Allocation of Urban Land Guide by Land Ecological Suitability: A Case Study of Guangdong-Hong Kong-Macao Greater Bay Area".LAND 12.4(2023):754.

入库方式: OAI收割

来源:地理科学与资源研究所

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