基于GWR模型的合肥居住地价影响因素研究

doi:10.13959/j.issn.1003-2398.2017.05.013

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人文地理 ›› 2017, Vol. 32 ›› Issue (5) : 89-97. DOI: 10.13959/j.issn.1003-2398.2017.05.013

城市

基于GWR模型的合肥居住地价影响因素研究

王爱, 陆林, 包善驹, 朱其静

作者信息 +

RESEARCH ON THE INFLUENCING FACTORS OF RESIDENTIAL LAND PRICE IN HEFEI BASED ON GWR MODEL

WANG Ai, LU Lin, BAO Shan-ju, ZHU Qi-jing

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文章历史 +

摘要

以合肥市主城区为例，基于2010-2014年居住用地的出让数据，运用地统计法、GWR模型等方法，对合肥市居住地价的空间异质性及其影响因素进行研究。研究表明：①合肥市居住地价的空间分布呈现出显著的多中心的空间结构，地价的峰值区分别以老城区、政务区天鹅湖及滨湖新区塘西河公园为中心呈现圈层式分布；②不同的地价影响因素表现出不同的空间分布特征，其中容积率对居住地价的贡献度空间差异最大，其次是宗地面积，主干路次之，交通站点对居住地价的贡献度最小；③厘清各影响因素对地价的作用机制，建立动态的数字地价模型，不仅能促进土地资源的集约利用，重塑城市的空间结构，而且能为城市整体价值的发挥提供重要的理论支撑。

Abstract

The land price is a reflection of the economic role of the land market, and its spatial characteristics are affected by many factors. Land price plays an important leverage role in guiding land resource allocation for urban planning and development,particularly in big cities of fast developing countries where infrastructures and populationschange frequently. Therefore, detecting spatially implicit information in the spatial pattern of relationships between land price and related impact factors is critical. This paper takes the main city of Hefei as a case, based on the transfer data of residential land from 2010 to 2014,and by using the geostatistical method, GWR models and other methods to study the spatial heterogeneity and its micro influencing factors of residential land price in Hefei.The outputs of this study shows that:1)The spatial distribution of residential land price in Hefei has a significant polycentric spatial structure. The peak of the residential land price takes the Old Town, Swan Lake in the Administrative District and Tangxi River Park in the Lake District as the center, which presents a distribution pattern of concentric trend. 2)The estimated coefficients of different explanatory variables of land price show different spatial distribution characteristics, obtained from Geographically weighted regression(GWR) analysis, which indicated that their relationships of the influencing factors with residential land price are spatially non-stationary. 3)To clarify the Mechanisms of action between land price and influencing factors in local areas, and create dynamic digital models of land price, which not only to promote the intensive use of land resources, and reshape the city's spatial structure, but also to provide an important theoretical support for the overall value of the city.

导出引用

王爱, 陆林, 包善驹, 朱其静. 基于GWR模型的合肥居住地价影响因素研究[J]. 人文地理. 2017, 32(5): 89-97 https://doi.org/10.13959/j.issn.1003-2398.2017.05.013

WANG Ai, LU Lin, BAO Shan-ju, ZHU Qi-jing. RESEARCH ON THE INFLUENCING FACTORS OF RESIDENTIAL LAND PRICE IN HEFEI BASED ON GWR MODEL[J]. HUMAN GEOGRAPHY. 2017, 32(5): 89-97 https://doi.org/10.13959/j.issn.1003-2398.2017.05.013

中图分类号： F293.3

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