太阳成8722(中国)有限公司-GREEN NO.1

标题：PSOLA: A Heuristic Land-Use Allocation Model Using Patch-Level Operations and Knowledge-Informed Rules作者：Liu, Yaolin; Peng, Jinjin; Jiao, Limin; Liu, Yanfang

来源出版物：PLOS ONE卷：11 期：6 文献编号：e0157728 DOI：10.1371/journal.pone.0157728 出版年：JUN 20 2016

入藏号：WOS:000378212000042

摘要：Optimizing land-use allocation is important to regional sustainable development, as it promotes the social equality of public services, increases the economic benefits of land-use activities, and reduces the ecological risk of land-use planning. Most land-use optimization models allocate land-use using cell-level operations that fragment land-use patches. These models do not cooperate well with land-use planning knowledge, leading to irrational landuse patterns. This study focuses on building a heuristic land-use allocation model (PSOLA) using particle swarm optimization. The model allocates land-use with patch-level operations to avoid fragmentation. The patch-level operations include a patch-edge operator, a patchsize operator, and a patch-compactness operator that constrain the size and shape of landuse patches. The model is also integrated with knowledge-informed rules to provide auxiliary knowledge of land-use planning during optimization. The knowledge-informed rules consist of suitability, accessibility, land use policy, and stakeholders' preference. To validate the PSOLA model, a case study was performed in GaoqiaoTowninZhejiang Province,China. The results demonstrate that the PSOLA model outperforms a basic PSO (Particle Swarm Optimization) in the terms of the social, economic, ecological, and overall benefits by 3.60%, 7.10%, 1.53% and 4.06%, respectively, which confirms the effectiveness of our improvements. Furthermore, the model has an open architecture, enabling its extension as a generic tool to support decision making in land-use planning.

文献类型：Article

语种：English

扩展关键词：PARTICLE SWARM OPTIMIZATION; ARTIFICIAL IMMUNE-SYSTEMS; ANT COLONY OPTIMIZATION; CELLULAR-AUTOMATA; RESOURCE-ALLOCATION; PROGRAMMING-MODEL; TRANSITION RULES; SUPPORT-SYSTEM; URBAN-GROWTH; LARGE AREAS

通讯作者地址：Peng, JJ; Jiao, LM (reprint author), Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China.Jiao, LM (reprint author), Minist Educ, Key Lab Geog Informat* Syst, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

Jiao, LM (reprint author), Natl Adm Surveying Mapping & Geoinformat, Key Lab Digital Mapping & Land Informat Applicat, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

Jiao, LM (reprint author), Wuhan Univ, Collaborat Innovat Ctr Geospatial Informat Techno, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

电子邮件地址：abc@whu.edu.cn; lmjiao027@163.com

地址：

[Liu, Yaolin; Peng, Jinjin; Jiao, Limin; Liu, Yanfang] Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

[Liu, Yaolin; Jiao, Limin; Liu, Yanfang] Minist Educ, Key Lab Geog Informat Syst,129 Luoyu Rd,Wuhan430079, Peoples RChina.

[Liu, Yaolin; Jiao, Limin; Liu, Yanfang] Natl Adm Surveying Mapping & Geoinformat, Key Lab Digital Mapping & Land Informat Applicat, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

[Liu, Yaolin; Jiao, Limin]WuhanUniv, Collaborat Innovat Ctr Geospatial Informat Techno,129 Luoyu Rd,Wuhan430079, Peoples RChina.

研究方向：Science & Technology - Other Topics

ISSN：1932-6203

IF：3.057