上海住宅价格时空分异格局及其影响因素——基于地理加权回归模型的分析
Spatio-temporal Differentiation Pattern of Housing Prices in Shanghai and Its Influencing Factors:Analysis Based on GWR Model
李桂华 1王俊松 1齐洁1
作者信息
- 1. 华东师范大学 地理科学学院,上海 201100
- 折叠
摘要
城市住宅价格的空间分异和演化是分析城市空间结构的重要视角.基于2015-2022 年上海住宅交易数据分析住宅价格的空间结构及演化,并采用地理加权回归模型探讨教育、交通、区位等因素对住宅价格影响的时空变化.结果表明:上海住宅价格总体呈现多中心圈层递减结构,并出现中心城区高度集聚和住宅郊区化并存的趋势;住宅价格空间格局呈现"圈层+扇形+飞地"的模式.住宅价格受到与市中心距离、教育资源、交通便利程度的显著影响,从时间上看,优质教育资源和公园绿地对邻近住宅价格的影响增强,交通便利度对房价的影响下降;从空间上看,影响因素存在显著的空间异质性,教育资源、公园绿地和商业配套资源对郊区住宅的影响更大.
Abstract
The spatial differentiation and evolution of urban housing price is an important perspective to ana-lyze urban spatial structure.This paper analyzes the spatial structure and evolution of housing prices based on the housing transaction data in Shanghai from 2015 to 2022 using the geographical weighted regression model to explore the spatio-temporal changes of the impact of education,transportation,location and other factors on housing prices.The study indicates that the housing price in Shanghai generally presents a decreasing structure with multiple cen-ters and circles,and there is a trend of high concentration in the central urban area and residential suburbanization;The spatial pattern of housing price presents the pattern of"circle+fan+enclave".The housing price is signifi-cantly affected by the distance from the city center,education resources,and transportation convenience.In terms of time,the impact of high-quality education resources and park green space on the price of neighboring houses is increased,while the impact of transportation convenience on the house price is decreased.In terms of space,the influencing factors have significant spatial heterogeneity,and education resources,park green space and commer-cial supporting resources have a greater impact on suburban housing.
关键词
住宅价格/地理加权回归模型/时空演变/上海市Key words
housing price/GWR model/space-time evolution/Shanghai City引用本文复制引用
出版年
2024
NETL
NSTL
万方数据