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哈大巨型城市带空间极化演变及其驱动力分析 被引量:3

Analysis of Driving Forces and Spatial Polarization Evolution of Hada Megalopolis
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摘要 从多要素综合变化视角构建哈大巨型城市带空间极化的评价指标体系,基于熵值法,对1990—2013年哈大巨型城市带要素空间极化度进行综合测度,进一步探讨其演变过程及驱动力因素。结果表明:(1)1990—2013年哈大巨型城市带空间极化度(SPI)呈波动上升趋势,具体呈现出"先快速提升、后波动缓慢提升"的演变特征;(2)分要素空间极化存在着明显的差异,人口要素极化度(SP1)总体呈波动缓慢上升趋势,物质要素(SP2)、资本要素(SP3)和科技要素(SP5)的空间极化度呈稳步提升态势,而信息要素(SP4)呈小幅波动下降趋势;(3)人口要素(SP1)、物质要素(SP2)和资本要素(SP3)的快速空间集聚是SPI提升的主要内部作用因子,而城市化发展、非农产业快速发展及其引发的区域经济结构调整、城市发展建设投入水平的不断提高等因素是城市带要素空间极化度提升的主要外部作用因素。 Constructed the spatial polarization's evaluation index system of Hada megalopolis from the perspective of multi- factor comprehensive changes on account of the entropy value method,this paper took a comprehensive evaluation about spatial polarization of the Hada megalopolis from 1990 to 2013 and further explored its evolutionary process and driving force factors. The results showed:(1)From 1990 to 2013,the spatial polarization of Hada megalopolis presented a volatility rising trend with the features of increasing rapid firstly and then elevating slowly.(2)Viewed from the characteristics of each element's polarization evolution,significance difference existed. The polarization degree of population got a slow improvement,the polarization degree of factors of material,capital and technology rose continuously,while the polarization degree of information showed a slight downward trend.(3)The rapid spatial agglomeration of material elements was the main internal factor that made the promotion of the polarization degree of Hada megalopolis,while the development of urbanization,non- agriculture industry and the adjustment of regional economic structure,the constant improvement of the urban development and construction investment were the main external factors that made the promotion of the polarization degree of Hada megalopolis.
出处 《资源开发与市场》 CAS CSSCI 2016年第6期669-672,695,共5页 Resource Development & Market
基金 教育部人文社会科学规划基金项目(编号:14YJA790035)
关键词 哈大巨型城市带 空间极化 演变过程 驱动力 熵值法 Hada megalopolis spatial polarization evolution process driving force entropy value method
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