Optimization of multi-objective multi-functional landuse zoning using a vector-based genetic algorithm
文献类型：期刊论文
| 作者 | Pan, Tingting2,3; Su, Fenzhen2,3; Yan, Fengqin2; Lyne, Vincent4; Wang, Zhihua2; Xu, Liang5 |
| 刊名 | CITIES
 |
| 出版日期 | 2023-06-01 |
| 卷号 | 137页码:104256 |
| 关键词 | Multi -functional landuse zones Ecosystem services value Urban planning Functional zoning optimization BGG NSGA-II |
| ISSN号 | 0264-2751 |
| DOI | 10.1016/j.cities.2023.104256 |
| 文献子类 | Article |
| 英文摘要 | Contemporary urban planners optimize economic and ecological tradeoffs from different landuses using raster models and homogeneous functional zones. However, ecosystem services depend on the diversity and connec-tivity of non-homogeneous ecological functions operating within functional zones. To account for these de-pendencies, we developed a multi-objective functional zoning optimization (MOFZO) model that considers the heterogeneity of internal ecological and economic functions within zones. Vector is used as optimization units, and blue-green-gray (BGG) composition mixture of water/vegetation/urban, within functional zones was used to describe the internal heterogeneity from mixed landuse in functional zones. Results from an extended NSGA-II model for Shenzhen in China, using three conflicting objectives (maximum GDP, maximum ESV, maximum Connectedness), showed patches around ports and coastal areas only changed BGG, which is consistent with the scarcity of coastal land resources and the need to internally optimize land use. Compared to the conventional NSGA-II case, ESV conservation performance was optimized in 41 % of the total changed patches through BGG changes only. These finding provide a practical functional zoning model for planners with deeper insights on implications of constraints and internal changes in functional zones, that materially improves overall ecosystem services within the limited land resources of coastal regions. |
| WOS关键词 | USE ALLOCATION ; NSGA-II |
| WOS研究方向 | Urban Studies |
| WOS记录号 | WOS:000951617500001 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/190494]  |
| 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, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 4.Nanjing Univ, Collaborat Innovat Ctr South China Sea Studies, Nanjing 210093, Peoples R China 5.Univ Tasmania, Inst Marine & Antarctic Studies, Hobart, Tas 7004, Australia |
| 推荐引用方式 GB/T 7714 | Pan, Tingting,Su, Fenzhen,Yan, Fengqin,et al. Optimization of multi-objective multi-functional landuse zoning using a vector-based genetic algorithm[J]. CITIES,2023,137:104256. |
| APA | Pan, Tingting,Su, Fenzhen,Yan, Fengqin,Lyne, Vincent,Wang, Zhihua,&Xu, Liang.(2023).Optimization of multi-objective multi-functional landuse zoning using a vector-based genetic algorithm.CITIES,137,104256. |
| MLA | Pan, Tingting,et al."Optimization of multi-objective multi-functional landuse zoning using a vector-based genetic algorithm".CITIES 137(2023):104256. |
入库方式： OAI收割
来源：地理科学与资源研究所
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