兰州市银行业的空间分布特征及其影响因素
发布时间：2018-10-19 14:55
【摘要】：文中以兰州市主城区1551家银行网点为例,运用最邻近距离、核密度函数、缓冲区分析和反距离加权插值等方法,对兰州市银行业的空间分布特征及类型差异进行分析、探讨其主要影响因素,进一步总结出其空间模式。结果表明:1)银行网点总体呈现"东密西疏"的不均衡特征,集聚特征显著;2)银行网点在城市内部分布特征各异;3)不同类型的银行网点,不同层面上分布特征各异;4)兰州市各类银行的空间分布模式总体呈现出带状主导下的"多中心+扇形扩展区"组合特征;5)银行空间分布与城市功能分区、人口数量、商业中心、交通便利性均呈现明显正相关。
[Abstract]:Taking 1551 banks in the main urban area of Lanzhou as an example, this paper analyzes the spatial distribution characteristics and types of banking in Lanzhou by using the methods of nearest distance, kernel density function, buffer analysis and inverse distance weighted interpolation. Discuss its main influence factor, sum up its space pattern further. The results show that: (1) the banking network has the unbalanced characteristic of "east and west", and the characteristic of gathering is obvious; (2) the distribution of the bank network in the city is different; (3) the different types of bank network, 4) the spatial distribution pattern of various banks in Lanzhou shows the combination of "multi-center sector expansion area" dominated by banding in general; (5) the spatial distribution of banks and urban functional areas, population size, commercial center, Traffic convenience showed a significant positive correlation.
【作者单位】： 西北师范大学地理与环境科学学院;
【基金】：国家自然科学基金项目(41161028)资助
【分类号】：F832.7
，
本文编号：2281475
[Abstract]:Taking 1551 banks in the main urban area of Lanzhou as an example, this paper analyzes the spatial distribution characteristics and types of banking in Lanzhou by using the methods of nearest distance, kernel density function, buffer analysis and inverse distance weighted interpolation. Discuss its main influence factor, sum up its space pattern further. The results show that: (1) the banking network has the unbalanced characteristic of "east and west", and the characteristic of gathering is obvious; (2) the distribution of the bank network in the city is different; (3) the different types of bank network, 4) the spatial distribution pattern of various banks in Lanzhou shows the combination of "multi-center sector expansion area" dominated by banding in general; (5) the spatial distribution of banks and urban functional areas, population size, commercial center, Traffic convenience showed a significant positive correlation.
【作者单位】： 西北师范大学地理与环境科学学院;
【基金】：国家自然科学基金项目(41161028)资助
【分类号】：F832.7
，
本文编号：2281475
本文链接：https://www.wllwen.com/jingjilunwen/huobiyinxinglunwen/2281475.html
