【摘要】 城市住宅价格空间分异反映了城市不同购房群体的社会属性差异,对住宅价格空间格局及其影响因素的研究有利于优化城市公共资源的合理配置。本文以2024年西安市主城区住宅小区为基本单元,运用空间自相关、克里金插值和地理加权回归模型（GWR）对西安市房价的空间分异格局及差异化影响因素进行分析,探究在生活、工作、文化3个方面的各类因素对住宅价格空间分异的影响。研究表明：1.西安房价格局呈现中心低外围高和北低南高的空间结构特征,同时也存在局部高值和低值点,为多中心格局,而非“中心-外围”递减的单中心格局；2.生活、工作、文化3个层面的影响因素中,工作层面的影响因素对住宅价格空间分异的影响整体较显著,主要体现在公司企业数量、公交地铁可达性对住宅价格的影响；3.各类影响因素对住宅价格分异的影响存在较大的差异。公司企业的分布和公交地铁可达性对高新技术产业较集聚的西安高新区的住宅价格有突出影响。公园广场等文化娱乐设施对西安高品质住宅较集中的曲江新区的住宅价格有突出影响。商业服务设施可达性对设施较完善的西安老城区无显著影响,但对商业设施欠完善的西安二环附近区域住宅价格影响显著。研究结论为优化城市各类服务设施的空间布局,满足城市不同群体差异化需求提供参考。更多还原

【Abstract】 The spatial differentiation of urban residential prices reflects the social attribute disparities among different homebuyer groups.Research into the spatial patterns of housing prices and their influencing factors is conducive to the optimal allocation of urban public resources.This paper,taking residential communities in the main urban area of Xi an in 2024 as the basic unit of analysis,employs spatial autocorrelation,Kriging interpolation,and the Geographically Weighted Regression(GWR) model to analyze the spatial differentiation pattern of housing prices in Xi’an and its varying influencing factors.It investigates the effects of various factors from the dimensions of living,working,and culture on this spatial differentiation.The research indicates that:1.The housing price pattern in Xi an exhibits a spatial structure characterized by being low in the center and high in the periphery " and " low in the north and high in the south, " with the presence of local high-value and low-value clusters.This constitutes a polycentric pattern rather than a monocentric one with a simple center-periphery" decay.2.Among the factors from the living,working,and cultural dimensions,those related to the working dimension have a more significant overall impact on the spatial differentiation of housing prices,primarily manifested in the effects of the number of companies and enterprises,and public transit(bus and subway) accessibility.3.The impacts of various influencing factors on housing price differentiation show significant spatial heterogeneity.The distribution of companies and public transit accessibility have a prominent effect on residential prices in the Xi’an High-tech Zone,an area with a high concentration of high-tech industries.Cultural and recreational facilities,such as parks and squares,exert a notable influence on housing prices in the Qujiang New District,which is characterized by a concentration of highquality residences.The accessibility of commercial service facilities has no significant impact on the well-equipped Old City of Xi’an but significantly affects housing prices in areas near the Second Ring Road,where such facilities are less developed.The findings of this study provide a reference for optimizing the spatial layout of various urban service facilities to meet the differentiated demands of diverse urban populations.更多还原