山地城市住宅价格空间特征与影响机制：以重庆为例

毛　超*，张琳琳，刘　勇，陈春江

（重庆大学管理科学与房地产学院，重庆400044）

摘　要：城市住宅价格在不同区位具有显著的空间差异，形成空间不均衡现象。本文以重庆主城区为例，基于2011—2017年476个新开盘项目的住宅价格数据，通过ESDA和克里金插值法分析了住宅价格的空间特征，依据特征价格理论选取8个影响因素，通过构建PLS和GWR模型讨论住宅价格的影响机制。研究表明：①住宅价格的空间分布不均且形成多个峰值点。②市中心、地铁、重点中小学、三甲医院、市级公园、江景对住宅价格具有显著的提升效应。③商业和设施空间分布异质性高，推动了邻近区域的住宅溢价；交通可达性显著提高了城市核心区外围的住宅价格；景观舒适性促进了两江交汇处和北部沿江地区的房价增值。在“多中心组团式”格局的引导下，重庆各中心和组团的邻近性、可达性和景观禀赋各不相同，这较好地解释了住宅价格的空间异质性。

关键词：重庆主城区；住宅价格；空间特征；影响机制

中图分类号：TU984　文献标识码：A

Spatial Characteristics and Influencing M echanism of Housing Price in Polycentric M ountainous City—A Case Study of Chongqing Central City(www.xing528.com)

MAO Chɑo*，ZHANG Linlin，LIU Yong，CHEN Chunjiɑng

（School of Management Science and Real Estate，Chongqing University，Chongqing 400044）

Abstract：Urban housing prices have significant spatial differences in different locations，with a spatial imbalance created.This paper takes Chongqing’s central area as an example，based on housing price data for 476 newly-opening projects for 2011﹣2017.The ESDA and Kriging interpolationmethodswere used to analyze the spatial characteristics of residential prices.8 influencing factors were selected based on the characteristic price theory and the impact mechanism of residential prices was discussed through the construction of PLSand GWRmodels.The results show that：①The spatial distribution of housing prices is inhomogeneouswithmultiple peaks；②The city center，the subway，the key primary and secondary schools，third level 1st class hospital，the municipal parks，and the river views have a significant increase in housing prices；③The highly spatial heterogeneity of the commercial and facility promotes the premium of houses in the neighboring areas；transportation Accessibility significantly increases the housing prices outside the core areas of the city；landscape comfort boosts the appreciation of housing prices at the junction of two rivers and in the north houses along river.Under the guidance of the“multi-center group structure”，the proximity，accessibility，and landscape endowments of Chongqing’s centers and groups are different，which explains the spatial heterogeneity of housing prices.

Key words：Chongqing central city；Housing price；Spatial characteristics；Influence mechanism