Simulating multi-objective land use optimization allocation using Multi-agent system—A case study in Changsha, China

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成果类型：

期刊论文

作者：

Zhang, Honghui*;Zeng, Yongnian;Jin, Xiaobin;Shu, Bangrong;Zhou, Yinkang;...

通讯作者：

Zhang, Honghui

作者机构：

[Zhou, Yinkang; Zhang, Honghui; Yang, Xuhong; Jin, Xiaobin] Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210093, Jiangsu, Peoples R China.

[Zhang, Honghui] Changsha Planning Informat Ctr, Changsha 410013, Hunan, Peoples R China.

[Zhang, Honghui] Hunan City Univ, Sch Architecture & Urban Planning, Yiyang 413002, Hunan, Peoples R China.

[Zeng, Yongnian] Cent S Univ, Sch Geosci & Geomat, Changsha 410083, Peoples R China.

[Shu, Bangrong] Jiangsu Normal Univ, Sch Geodesy & Geomat, Dept Land Resources, Xuzhou 221116, Jiangsu, Peoples R China.

通讯机构：

[Zhang, Honghui] N

Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210093, Jiangsu, Peoples R China.

语种：

英文

关键词：

Land use allocation;Multi-objective optimization;Multi-agent system;Sustainable land use;China

期刊：

Ecological Modelling

ISSN：

0304-3800

年：

2016

卷：

320

页码：

334-347

DOI：

10.1016/j.ecolmodel.2015.10.017

基金类别：

National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41201386, 41171326, 41101546]; Postdoctoral Science Foundation of ChinaChina Postdoctoral Science Foundation [2012M521045]

机构署名：

本校为其他机构

院系归属：

建筑与城市规划学院

摘要：

Achieving multi-objective land use optimization allocation (MOLUOA) for sustainable development is an important issue in land use. In consideration of the multi-dimensional characteristics of MOLUOA in terms of quantity, space, and time, and under the constraints of maximizing economic, ecological, and social benefits of land use, a MOLUOA model is developed in this study by integrating multi-agent system with particle swarm optimization. The MOLUOA model is applied to the simulation of land use optimization allocation in Changsha, a typical city located in central China. Simulation results sh...

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