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基于改进遗传算法投影寻踪的大城市郊区耕地安全综合评价
引用本文:王芳,冯艳芬,卓莉,周涛.基于改进遗传算法投影寻踪的大城市郊区耕地安全综合评价[J].热带地理,2013,33(4):373-380.
作者姓名:王芳  冯艳芬  卓莉  周涛
作者单位:(1.广州大学 地理科学学院,广州 510006;2.广东省城市化与地理环境空间模拟重点实验室,广州 510275; 3.中山大学 地理科学与规划学院,广州 510275)
基金项目:国家自然科学基金资助(41001048,40801034);广州市哲学社会科学“十一五”规划资助项目
摘    要:针对耕地安全高维评价体系指标权重难以赋值、客观性差的问题,构建了实码加速的遗传算法投影寻踪(RAGA-PP)模型,对快速城市化的大城市郊区耕地安全进行综合评价。以广州城市发展的南拓与北优两个郊区——番禺区与从化市为例,建立4个子系统共32个指标的耕地安全评价指标体系,对大城市郊区耕地的数量结构安全、质量安全、经济社会安全和生态安全进行综合评价。结果表明:(1)RAGA-PP模型在多目标、多因素的耕地安全综合评价中取得了满意的效果;(2)广州市郊区耕地安全评价的影响因子权重在远郊区和近郊区存在较大差别,开展不同区域对比研究更适合采用总投影方向确定的权重值。(3)由于近郊区与远郊区发展定位与发展战略迥异,城市化进程速度不同,区域耕地安全等级差别较大,近郊的番禺区耕地综合安全水平低于远郊的从化市,其中番禺区仅耕地经济社会安全水平高于从化市,而耕地的质量安全、数量安全和生态安全方面均低于从化市。

关 键 词:耕地安全  投影寻踪法  实码加速遗传算法  大城市郊区  番禺  从化  

Comprehensive Evaluation of Arable Land Security in Metropolitan Suburbs Using Projection Pursuit Model Based on Improved Genetic Algorithms
WANG Fang , FENG Yanfen , ZHUO Li , ZHOU Tao.Comprehensive Evaluation of Arable Land Security in Metropolitan Suburbs Using Projection Pursuit Model Based on Improved Genetic Algorithms[J].Tropical Geography,2013,33(4):373-380.
Authors:WANG Fang  FENG Yanfen  ZHUO Li  ZHOU Tao
Abstract:Aiming at the problems of poor objectivity of multidimensional index weight assignment for evaluation of arable land security, the authors proposed and applied projection pursuit model (pp) optimized by a real coded accelerating genetic algorithm (RAGA) to evaluate the arable land security in the rapid urbanization suburbs of Metropolitan cities. In the paper Panyu district and Conghua city in Guangzhou are taken as examples, and 32 indicators are selected to build four security sub-systems, namely, the quantity security, structural security, quality security, ecological security, and economic and social security. The results indicate that: (1) Using RAGA-PP model can achieve satisfactory results in the objective evaluation of multi-target and multi-factor arable land security.(2) The weights of arable land security impact index between outer suburbs and peri-urban area in Guangzhou city are very different. (3) Due to the difference of development orientation and development strategy, the urbanization rates of the areas are different, the arable land security level of Panyu is lower than that of Conghua, as Panyu is in peri-urban area while Conghua in outer suburbs. (4) From the sub-goals, Panyu’s arable land has a higher level of economic security, but it’s quantity security, quality and ecological security are lower than those in Conghua.
Keywords:arable land security  projection pursuit method  real coded accelerating genetic algorithm  Metropolitan Suburbs
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