中文摘要：

土地利用优化配置对促进区域可持续土地利用具有重要意义,然而现有的土地利用优化配置模型引导可持续土地利用的能力有待提高。本文从整体考量区域土地利用优化配置数量、空间、时间三维特征的角度,定义了区域土地利用优化配置多智能体系统及其决策行为规则,构建了基于多智能体系统的区域土地利用优化配置RLUOA（Regional Land Use Optimization Allocation）模型,并以中部地区典型城市——长沙市为例开展了实证应用研究。研究结果表明：该模型能够将规划时间段内多目标约束的区域土地利用规模的数量结构合理配置到不同的空间单元,实现土地利用数量结构、空间布局、效益的协同优化,构建整体上经济可行、社会可接受、生态环境友好的土地利用格局,并明显提高区域整体土地利用经济、生态和社会效益,从而能够为促进区域土地资源可持续利用和制定土地利用总体规划提供参考借鉴。

英文摘要：

Land use optimization allocation is one of the important aspects of sustainable regional land use.However,the current prevalent land use optimization allocation model,which is used for directing a sustainable land use system,needs to be improved,because the current models ignore the collaborative optimization of land uses in terms of quantitative structure,spatial pattern,and benefit.The objective of this paper is to establish a new model to solve the shortcomings,i.e.,the RLUOA（Regional Land Use Optimization Allocation） model,which aims to achieve regional sustainable land use.The model is established through a multi-agent system,which defines respectively the decision making rules of the related agents including the central government of the region,the branches of the government that implements the downstream orders,and the land users practically using the land.The RLUOA model was applied to the simulation of land use optimization allocation in Changsha,a typical city located in central China.The simulation result shows that the model can reasonably allocate the land into different spatial units under the constraint of multi-objective,and achieve the collaborative optimization of land use in terms of quantitative structure,spatial pattern,and benefit.The resulted optimal land allocation meets the requirements of building economically feasible,socially acceptable,and environment-friendly land use pattern,and improves obviously the overall economic,ecological and social benefits of the land use in the region.Consequently,the model can provide auxiliary support and scientific references for the decision making associated with sustainable regional land use and for the general land use planning design.