太阳成8722(中国)有限公司-GREEN NO.1

标题: An adaptive agent-based optimization model for spatial planning: A case study of Anyue County, China

作者: Zhao, X (Zhao, Xiang); Ma, XY (Ma, Xiaoya); Tang, WW (Tang, Wenwu); Liu, DF (Liu, Dianfeng)

来源出版物: SUSTAINABLE CITIES AND SOCIETY  卷: 51  文献号: UNSP 101733  DOI: 10.1016/j.scs.2019.101733  出版年: NOV 2019  

摘要: Spatial planning is a complex land use allocation process involving multiple land use stakeholders, and resolving potential conflicts among stakeholders presents a challenging issue. This study proposed an innovative combination of an agent-based model and heuristic methods (machine learning and artificial intelligence approaches) to address spatial planning issues. The agent-based model simulates the decision-making processes of stakeholders in land use allocation, the machine learning approach obtains the nonlinear behavioral rules of land use agents, and the artificial intelligence approach provides a flexible optimization framework that can incorporate agents' preferences into land use allocation. The integration of the agent-based model and heuristic methods enables us to adaptively explore nonlinear relationships between agent behaviors and decision-making environments and efficiently identify solutions to land use allocation in a spatially explicit way. The results show that the optimal allocation solutions obtained by the agent-based model are more applicable based on the support of the factual evidence than those obtained by the non-agent-based model. The proposed model can integrate the simulated local decision of stakeholders and global optimization of the specified objectives in land use planning, and thus provide a flexible theoretical framework to support the reform of China's spatial planning system.

入藏号: WOS:000493744700042

语言: English

文献类型: Article

作者关键词: Land use; Spatial decision support; Spatial optimization; Agent-based modeling; Geographic information system

地址: [Zhao, Xiang; Liu, Dianfeng] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.

[Ma, Xiaoya] Yangtze Univ, Sch Geosci, Wuhan 430010, Hubei, Peoples R China.

[Tang, Wenwu] Univ North Carolina Charlotte, Ctr Appl GISci, Charlotte, NC 28223 USA.

[Tang, Wenwu] Univ North Carolina Charlotte, Dept Geog & Earth Sci, Charlotte, NC 28223 USA.

通讯作者地址: Liu, DF (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.

电子邮件地址: liudianfeng@whu.edu.cn

影响因子：4.624