Combining system dynamics and hybrid particle swarm optimization for land use allocation
Combining system dynamics and hybrid particle swarm optimization for land use allocation
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结合系统动力学和混合粒子群优化进行土地利用分配
DOI：
10.1016/j.ecolmodel.2013.02.027
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发表时间：
2013-05-24
影响因子：
3.1
通讯作者：
Ai, Bin
中科院分区：
文献类型：
--
作者：
Liu, Xiaoping;Ou, Jinpei;Ai, Bin
城市土地利用空间配置是缓解城市土地利用问题的重要手段，对于许多面临严重环境和人口压力的国家来说，城市土地利用空间配置是至关重要的。人们提出了一些土地利用优化配置的模型。然而，这些模型大多只解决了个别土地利用类型的适宜性和不同土地利用之间的空间竞争在微观尺度上，但忽略了宏观层面的社会经济变量和驱动力。本文提出了一种新的模型（SDHPSO-LA），集成系统动力学（SD）和混合粒子群优化（HPSO）解决大面积的土地利用分配问题。可持续发展模型用于预测宏观尺度上受经济、技术、人口、政策及其相互作用影响的土地利用需求。此外，粒子群优化算法（PSO）的改进，通过将遗传算子分配土地利用在离散的地理空间。SDHPSO-LA模型，然后应用于案例研究，在番禺，广东，中国。实验结果表明，该模型能够较好地反映不同尺度下土地利用系统的复杂行为，可用于生成不同情景下的土地利用模式。皇冠版权所有（C）2013由爱思唯尔B. V.出版保留所有权利。
Urban land use spatial allocation is crucial to lots of countries that are usually under severe environmental and demographic pressures, because it can be used to alleviate some land use problems. A number of models have been proposed for the optimal allocation of land use. However, most of these models only address the suitability of individual land use types and spatial competition between different land uses at micro-scales, but ignore macro-level socio-economic variables and driving forces. This article proposes a novel model (SDHPSO-LA) that integrates system dynamics (SD) and hybrid particle swarm optimization (HPSO) for solving land use allocation problems in a large area. The SD module is used to project land use demands influenced by economy, technology, population, policy, and their interactions at macro-scales. Furthermore, particle swarm optimization (PSO) is modified by incorporating genetic operators to allocate land use in discrete geographic space. The SDHPSO-LA model was then applied to a case study in Panyu, Guangdong, China. The experiments demonstrated the proposed model had the ability to reflect the complex behavior of land use system at different scales, and can be used to generate alternative land use patterns based on various scenarios. Crown Copyright (C) 2013 Published by Elsevier B.V. All rights reserved.