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机构地区:[1]中国地质大学(北京)土地科学技术学院,北京100083
出 处:《地理科学进展》2012年第7期869-877,共9页Progress in Geography
基 金:中央高校基本科研业务项目(2011YYL141)
摘 要:此次研究以中国东部地区87个城市的建设用地为研究对象,分析2000-2008年城市建设用地变化的规律及变化的原因,并对城市建设用地开展利用效益分类与判定研究。在研究的过程中,主要应用了聚类分析法和判别分析法,并利用ArcGIS 9.2,将建设用地变化情况及影响因子空间化。研究结果表明:①城市建设用地总量增长非常大,增长速度非常快;②城市建设用地的增长速度呈降低的趋势,不同阶段差异明显;③城市建设用地变化在省域和区域经济圈内差异明显;④城市建设用地与国内生产总值和固定资产投资的相关性最高,经济投入的增加与人口的增长推动了东部地区城市建设用地的变化;⑤将城市建设用地利用效益分为5类,并且第3类城市的总数为488个,占到样本总体的62.32%,地均建设用地第二产值对聚类结果的影响最大;⑥对5类城市建设用地效益进行了判别,确定了各类别的判别式,并达到检验的要求。This research takes urban construction land of 87 urban areas in eastern China as objectives, and aims at analyzing rules of urban construction land changes and the influential factors. At the same time, appraisal indi-cator style was designed to appraise the using benefits of construction land and the using benefits were then clas-sified and discriminated. In the process of researching, some statistical methods were adopted, such as cluster analysis that classified urban construction land using benefits into 5 kinds: Bayesian discrimination analysis that obtained 5 discrimination relations. Besides, ArcGIS 9.0 was used to display the dynamic: degree and some influ- encing factors. The results are shown as follows. (1) Total areas of urban construction land increase largely, and the increasing speed is fast. (2) The trend of increasing speed drops slowly, and takes on differences in different stages. (3) Differences are obvious among provinces and economic development circles. (4) The biggest correla-tion coefficients are shown between urban construction land area, gross domestic production and fixed asset in-vestment, both being 0.90. The increase of economic investment and the growth of population are the important driving forces to the changes of urban construction land. (5) Using benefits of urban construction land are divid-ed into 5 kinds, and the number of the third kind is the most, which is 488 and up to 62.32%. And it is the sec-ond production per urban construction land area that is the most important factor to the cluster result. (6) discrim-ination relations are determined and the accuracy can meet the requirement.
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