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The influence of urban landscape spatial patterns on single-family housing prices
Environment and Planning B: Urban Analytics and City Science ( IF 2.6 ) Pub Date : 2016-08-15 , DOI: 10.1177/0265813516663932
Jun-Hyun Kim 1, 2 , Wei Li 1 , Galen Newman 1 , Sung-Ho Kil 3 , Sun Young Park 1
Affiliation  

Many empirical studies assessing the economic benefits of urban green space have continually documented that green space tends to increase both value and sale price of nearby residential properties. Previous studies, however, have not fully captured the quality of neighborhood level landscape spatial patterns on housing prices. To fill this literature gap, this study examined the association between landscape spatial patterns of urban green spaces and single-family home sale transactions using a spatial regression model. The research was conducted through the analysis of 11,326 housing transaction records from 2010 to 2012 in Austin, TX, USA. Variables measuring the structural, locational and neighborhood characteristics of housing were coupled with Geographic Information Systems, remote sensing and FRAGSTATS to calculate several landscape indices measuring the quality of existing landscape spatial patterns. After controlling for any spatial autocorrelation effects, we found that that larger tree and urban forest areas surrounding single-family homes positively contributed to property values, while more fragmented, isolated and irregularly shaped landscape spatial patterns resulted in the inverse. The results of this research increase awareness of the role of urban green spaces while informing community design/planning practices about the linkages between landscape spatial structure and economic benefits.

中文翻译:

城市景观空间格局对独户住宅价格的影响

许多评估城市绿地经济效益的实证研究不断证明,绿地往往会增加附近住宅物业的价值和售价。然而,以前的研究并没有完全捕捉到邻里水平景观空间格局对房价的影响。为了填补这一文献空白,本研究使用空间回归模型检验了城市绿地景观空间格局与单户住宅销售交易之间的关联。该研究是通过分析 2010 年至 2012 年在美国德克萨斯州奥斯汀市的 11,326 份住房交易记录进行的。测量住房结构、位置和邻里特征的变量与地理信息系统、遥感和 FRAGSTATS 计算测量现有景观空间格局质量的几个景观指数。在控制了任何空间自相关效应后,我们发现,单户住宅周围较大的树木和城市森林区域对房产价值有积极的贡献,而更分散、孤立和形状不规则的景观空间格局导致了相反的结果。这项研究的结果提高了对城市绿地作用的认识,同时为社区设计/规划实践提供了有关景观空间结构与经济效益之间联系的信息。我们发现,单户住宅周围较大的树木和城市森林区域对房产价值有积极的贡献,而更分散、孤立和形状不规则的景观空间格局导致了相反的结果。这项研究的结果提高了对城市绿地作用的认识,同时为社区设计/规划实践提供了有关景观空间结构与经济效益之间联系的信息。我们发现,单户住宅周围较大的树木和城市森林区域对房产价值有积极的贡献,而更分散、孤立和形状不规则的景观空间模式导致了相反的结果。这项研究的结果提高了对城市绿地作用的认识,同时为社区设计/规划实践提供了有关景观空间结构与经济效益之间联系的信息。
更新日期:2016-08-15
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