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城镇化水平差异的模糊综合评价——以西安市临潼区为例 被引量:20

FUZZY COMPREHENSIVE EVALUATION OF DIFFERENCES IN URBANIZATION LEVELS——A Case Study of Lintong District,Xi'an
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摘要 在制定城乡发展规划时需评估区域内不同乡镇城镇化水平差异,而单一人口城镇化指标不能满足城镇化水平差异分析的要求,特别难于评价农业人口比重较大的小城镇之间城镇化水平的真实差异。采用模糊综合评价的方法,针对人口、产值、产业发展和交通设施等指标及其相应的二级指标进行城镇化水平差异综合评价。在评价过程中,利用相关统计数据,来比较西安市临潼区内各乡镇城镇化水平的差异。通过结果划分得到具有相对比较意义的核心城区、中心城镇、重点乡镇和一般乡镇四级的城镇体系。为临潼区城镇体系发展规划等工作提供一定的依据。 A single urbanized population index does not accurately represent the differences in urbanization levels of small towns. This paper seeks to suggest a more comprehensive urbanization evaluation method that uses instead a two-level indicator variable system. This method of fuzzy comprehensive evaluation utiliTes the summarized statistical data to compare and analyze the different levels of urbanization in towns of Lintong district. This process of comprehensive evaluation relies on two layers of detail. The base layer uses data on population, production value, industrial development, and transportation infrastructure as indicators of urbanization level. This combination provides a much more robust evaluation of urbanization differences than the single urbanized population ratio. Each of these base indexes can be further divided into related secondary indicators to give a more comprehensive measure of urbanization level: 1) The population index can be subdivided into non-agricultural population and density of population figures for each town. The comprehensive evaluation method can then be applied to these secondary indicators and an overall population index value can be calculated. 2) The production value index reflects the production output values in each town. This indicator can be subdivided into industrial output and the ration of agricultural output to industrial output; each of these sub-indicators can be further normalized and classified. Using these secondary indicator values, the comprehensive evaluation method can be applied to calculate an overall production value. 3) The industrial development index represents the layout of industries and enterprises. It can be calculated fi:om the following secondary indexes: distribution of enterprises above a designated size, situation of industrial parks, and distribution ofhigh-tech and new-tech enterprises. 4) The transportation infrastructure index is a measure of the accessibility of each node. It can be calculated by examining the number of rai
出处 《人文地理》 CSSCI 北大核心 2008年第1期48-51,共4页 Human Geography
基金 国家自然科学基金项目(40571002)
关键词 城镇化水平 模糊综合评价 临潼区 urbanization level fuzzy comprehensive evaluation Lintong district
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