Abstract:

It is necessary to explore the influence of water visibility on land price under the mechanism of Bid Invitation, Auction and Listing in order to provide a reference both for the government to stabilize the market and for the market participants to make rational purchasing decisions. This research selects Shenzhen as the study area and collects the residential land transaction data released by Shenzhen Land Real Estate Trading Center and multiple POI data from Google earth and Baidu map, as well as Landsat data. The study quantitatively analyzes the influence of water visibility on residential land price and discusses the spatial differences of visual water premium effects on the basis of GWR model. The result shows that, the residential land price premium on every 10000 m²’s increase of visual sea area ranged between 0.4 to 0.79 yuan/m², increasing 0.005%–0.009%, besides, the contribution of per level’s visual reservoir area promotion ranges between 1176 yuan/m² to 1991 yuan/m², increasing 13.490%–22.838%, and the visual length of the secondary river network increased every 100 m producing the premium ranges between 122 to 503 yuan/m², increasing 1.399%–5.770%. The volume of visual water showes obvious spatial heterogeneity on the distribution of Shenzhen’s residential land price. It could be seen that visible lengths of the secondary river network gradually declined from the east to the west. The premium peaks of visible sea area distributed in Futian, Luohu and Yantian districts, and declined from those areas both eastwards and westwards. The premium peaks of reservoir visible level on the land price was mainly located in Futian, Luohu and Longgang districts, which also showed a decline trend on the direction of east-west. This study is expected to enrich the theory of factors that influence land price location and meanwhile offers a detailed instruction for quantitative analysis of landscape visibility.

Key words: residential land price, visual water, GWR model, premium effect

摘要：

为了研究“招拍挂”机制下水体景观可视度对地价的影响, 使政府认识水体景观的意义, 也为市场参与者做出理性竞买决策提供参考, 基于深圳市土地房产交易中心的住宅土地交易数据、Google Earth和百度地图POI数据以及Landsat数据, 使用地理加权回归模型, 定量分析水体景观对住宅地价的影响, 讨论水体景观可视度溢价的区位差异。结果表明, 海域可视面积每增加1万平方米, 住宅地价溢价为0.4~0.79 元/m², 增加0.005%~0.009%; 水库可视面积等级每上升1级, 对于地价的贡献为1176~1991 元/m², 增加13.490%~22.838%; 二级河网可视长度每增加100m, 溢价为122~503 元/m², 增加1.399%~5.770%。水体景观可视度对深圳市住宅地价的影响呈现显著的空间异质性, 二级河网可视长度的溢价从东至西逐步下降; 海域可视面积溢价峰值区在福田区、罗湖区和盐田区, 并向东西方向递减; 水库可视面积等级对地价的溢价峰值主要在福田区、罗湖区、龙华和龙岗, 并向东西方向递减。研究结果丰富了地价区位影响因素理论, 并为景观可视度量化提供详细的参考资料。

关键词: 住宅地价, 水体景观可视度, GWR, 溢价效应