城市房价空间分布及其影响因素分析

发布时间：2018-07-05 12:23

本文选题：房价 + GIS　；参考：《测绘科学》2017年08期

【摘要】：针对城市房价的空间分布规律及其影响因素的研究,该文提出了以南昌市青山湖区房价为研究对象,基于相关理论,搜集整理了2015年07月到10月南昌市青山湖区155个楼盘的均价,利用市场比较法把房价修正到2015年10月份节点上,估算出了155个楼盘点的价格,以GIS技术为研究平台,运用普通克里格插值方法,得到了青山湖区房价的等值线图,根据等值线图得到其空间分布情况,从可达性视角出发,采用结构方程模型构建了青山湖区房价影响因素分析框架,运用SPSS分析出各自变量和因变量之间的关系,即定量分析出了各影响因素对房价格产生的影响程度。
[Abstract]:In view of the spatial distribution law of urban housing price and its influencing factors, this paper puts forward the price of Nanchang Qingshan Lake area as the research object. Based on the related theory, the paper collects and collates the average price of 155 buildings in Qingshan Lake District of Nanchang from 07 months to October from 2015 to October, and uses the market comparison method to correct the house price to October 2015. The price of 155 real estate points, taking GIS technology as the research platform, using the common Kriging interpolation method, got the contour map of the house price in Qingshan Lake area, and obtained its spatial distribution according to the contour map. From the angle of accessibility, the structure equation model was used to construct the analysis frame of the influence factors of the house price in Qingshan Lake area, and SPSS was used to analyze it. The relationship between the respective variables and dependent variables, that is, quantitative analysis of the impact of various factors on the price of housing.
【作者单位】：东华理工大学测绘工程学院;东华理工大学流域生态与地理环境监测国家测绘地理信息局重点实验室;
【基金】：国家自然科学基金项目(41464001) 放射性地质与勘探技术国防重点实验室项目(RGET201220) 江西省教育厅科技研究资助项目(GJJ14489)
【分类号】：F224;F299.23

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