上海中心城区农行网点的探索性空间数据分析

Exploratory Spatial Data Analysis of Bank Mesh Point in Central Urban Area of Shanghai

摘要:

为揭示城市微观区位环境的异质性与金融产业专业化之间的联系，结合GIS与探索性空间数据分析方法对，通过整合上海中心城区农行网点及社会、经济环境数据，构建了统一空间数据库，进行了网格计算并建立了影响集聚的区位因子空间效应的BP神经网络模型。上海农行网点主要分布于由交通外环线所包围的城市中心区域，特别是集中在传统的中央商务区周围，同时集聚现象随空间步长的变化在整体上存在波动。而该种格局是在区域发展过程当中，在历史沿革、政府干预以及市场力量的综合作用下所形成的。

Abstract:

In order to shed light on the relationship between spatial heterogeneity of micro locational factors and financial specialization in urban areas. A unified spatial database has been created based on integrating bank mesh point and relevant social & economical dataset through GIS and ESDA. Grid computation has been applied on the DB and a BP neural network model was constructed for simulating the spatial effectiveness of those micro locational factors which impact the clustering of those points. As stated within this paper, most of the bank mesh points are located in the central area enclosed by the outer ring, especially within the inner ring road, where exists the traditional CBD of Shanghai. And the distribution shows a trend of cluster varied according to the spatial lag at the global scale. To explain the formation of the spatial distribution of banking industry in Shanghai, we must take into account the history legacy, the state intervention and urban planning, the market forces etc.