Acta Geographica Sinica ›› 2011, Vol. 66 ›› Issue (7): 972-984.doi: 10.11821/xb201107010

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A Model for Regional Land Use Optimization Allocation Based on Multi-agent System and Its Application

ZHANG Honghui1,2,3, ZENG Yongnian1,2, TAN Rong4, LIU Huimin1,2   

  1. 1. School of Geoscience and Geomatics;
    2. Center for Geomatics and Sustainable Development Research, Central South University, Changsha 410083, China;
    3. Changsha planning information service center, Changsha 410013, China;
    4. School of Public Administration, Zhejiang University, Hangzhou 310028, China
  • Received:2010-07-12 Revised:2010-07-12 Online:2011-07-20 Published:2011-07-20
  • Supported by:

    National Natural Science Foundation of China, No.40771198; Natural Science Foundation of Hunan, No.08JJ6023

Abstract: 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.

Key words: land use allocation, quantitative optimization, spatial optimization, beneficial optimization, multi-agent system, sustainable development, Particle Swarm Optimization