西安市二手房价格的影响因素及空间异质性  

Analysis of Influencing Factors and Spatial Heterogeneous Characteristics of Second-hand Houses’ Price in Xi’an City

作　　者：罗琳 杨喜平 李继园 LUO Lin;YANG Xiping;LI Jiyuan(School of Geography and Tourism,Shaanxi Normal University,Xi’an 710119,China;Northwest Land and Resource Research Center,Shaanxi Normal University,Xi’an 710119,China)

机构地区：[1]陕西师范大学地理科学与旅游学院,西安710119 [2]陕西师范大学西北国土资源研究中心,西安710119

出　　处：《地域研究与开发》2023年第4期57-63,共7页Areal Research and Development

基　　金：国家自然科学基金项目(42271468);中央高校基本科研业务经费项目(GK202201008);大学生创新创业训练计划项目(S202210718059)。

摘　　要：以西安市为例,基于POI数据,从交通、教育、医疗、休闲、购物和生活6个方面衡量住宅小区基础设施服务的便利性,并研究其对二手房价格的影响及空间异质性。结果表明:(1)西安市住房价格具有明显的空间分异性,呈南高北低、中心低外围高、南分散北集中的空间分布特征;(2)就住房自身特征而言,房龄是影响房价的最重要因素,基础服务设施中重点小学和公园能促进住房价格的升高;(3)与全局回归模型相比,混合地理加权回归模型拟合效果提升了23%,表明西安市住房价格具有空间异质性,各类型基础设施对房价的影响随空间位置的变化而变化。Taking Xi'an City as an example,we measured the convenience of infrastructure services in residential communities from six dimensions of transportation,education,medical care,leisure,shopping and life convenience based on POI data.At the same time,we researched its impact on housing prices and spatial heterogeneity of second-hand houses.The results show that:(1) There are obvious spatial distribution differences in housing prices in Xi'an.It shows that the characteristics of high in the south and low in the north,low in the center and high in the periphery,scattered in the south and concentrated in the north.(2) In terms of the characteristics of house itself,the age of the house is the most important factor affecting housing price.Key primary schools and parks in infrastructure service can promote the rise of housing price.(3) Compared with the global regression model,the fitting effect of the mixed geographically weighted regression model is improved by 23%,indicating that the housing price of Xi'an has spatial heterogeneity.It means the impact of infrastructure on housing price varies with the change of spatial location.

关 键 词：住房价格 基础设施 空间异质性 影响因素 西安市 

分 类 号：F293[经济管理—国民经济]