摘要
为满足日益增长的房地产评估需求,批量评估技术正逐渐取代传统的单宗房地产评估。以海口市海甸岛商品住宅小区为研究对象,通过采集区域的POI数据、小区价格数据和房屋属性特征数据,基于商品住宅小区的内生、区位和邻里特征,构建基于GWR的海甸岛商品住宅小区价格模型。基于特定小区的房屋特征,采用多元回归分析建立小区房屋的比价系数,以此建立楼盘-房屋二级的批量评估模型。通过一系列检验及校准,表明模型所构建的批量评估体系能较好反映海甸岛商品住房的特征。在此基础上,通过样本价格数据采集,结合批量评估模型可以实现海甸岛全部商品住房价格的批量评估。研究结果可为房地产交易、计税及管理等提供技术支撑。
To meet the growing demand for real estate evaluation,mass appraisal techniques are gradually replacing traditional single real estate appraisal.This paper took the commercial residential community on Haidian Island in Haikou City,Hainan Province as a research case,and constructed a geographically weighted regression-based(GWR)price model for Haidian Island commercial residential community.The model was built based on the endogenous,locational,and neighborhood characteristics of the commercial residential community by collecting regional point of interest(POI)data,community price data,and housing attribute characteristics data.Meanwhile,based on the housing characteristics of specific neighborhoods,multiple regression analysis was used to establish the price ratio coefficients of neighborhood houses,which was used to establish the two-level mass appraisal model of the building and housing.Through a series of tests and calibration,it is shown that the mass appraisal model can better reflect the characteristics of commercial residence prices on Haidian Island.On this basis,Integrating the sample price data collectiond with the mass appraisal model can realize the mass appraisal of all commercial residential prices in Haidian Island.The research results can provide technical support for real estate transactions,taxation,and management.
作者
韩念龙
罗燕
张菲凡
王德思
黎兴强
HAN Nianlong;LUO Yan;ZHANG Feifan;WANG Desi;LI Xingqiang(School of Geography and Tourism,Huizhou University,Huizhou 516007,China;Public Administration College,Hainan University,Haikou 570100,China)
出处
《工程管理学报》
2023年第3期154-158,共5页
Journal of Engineering Management
基金
海南省自然科学基金项目(421RC1034)
海南大学科研启动项目(kyqd(sk)1926).
关键词
批量评估
GWR模型
特征价格模型
多元线性回归
比价系数
mass appraisal
GWR model
hedonic price model
multiple linear regression
price ratio coefficient