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Bringing the vertical dimension into a planar multilevel autoregressive model: A city-level hedonic analysis of homebuyers' utilities and urban river attributes

机译:将垂直维度纳入平面多级自动评级模型:房源公用事业和城市河流属性的城市级蜂鸟分析

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Throughout history, urban rivers have been regarded as valuable natural elements that satisfy various human needs and affect where people reside. With the increasing expansion of modern cities along the vertical dimension, how urban rivers affect housing values and homebuyers' purchasing decisions in a 3-D context has attracted a significant amount of attention from researchers, environmental practitioners, urban planners, and policymakers. In this paper, we attempt to estimate how homebuyers' utilities are affected by various river attributes and their interactions using the vibrant high-rise apartment housing market in Guangzhou (south China) as a case study. An appropriate 3-D weights matrix is identified using ex ante Monte Carlo simulation combined with ex post validation on the basis of information criteria. By using the identified 3-D spatial weights scheme in a multilevel autoregressive modelling framework, an intricate combination of multidimensional spatial heterogeneity and spatial dependence can be sufficiently accounted for. Our analytical results reveal that river view and riverfront location are considered as negative utilities by Guangzhou's homebuyers, showing the significant negative impacts of river pollution. Yet the proximity to urban rivers is regarded as a positive utility, revealing that homebuyers enjoy a sense of being close to nature and an emotional bond with traditional water culture. The black-odorous river water itself devalues apartment prices and adds the negative utilities of river view and riverfront location. Riparian greening would command a price premium, as well as mitigate the negative utilities of river view and riverfront location. Although the availability of walking paths and sitting benches along river stretches is generally regarded as a positive utility, it may worsen the negative impact of river view, but enhance the positive impact of river proximity. These results provide deeper managerial insights into how different river attributes influence apartment buyers' utilities and thus help environmental managers (in collaboration with housing developers) design urban river restoration initiatives so as to create pleasant and attractive neighbourhoods for prospective homebuyers.
机译:在整个历史中,都市河流被视为有价值的自然元素,满足各种人类需求和影响人们所在的地方。随着现代城市沿着垂直维度的延长,城市河流如何影响住房价值和购房者在三维背景下的购买决策引起了研究人员,环境从业者,城市规划者和政策制定者的大量关注。在本文中,我们试图估计家庭商的公用事业如何受到各种河流属性的影响及其在广州(华南)充满活力的高层公寓住房市场的互动作为案例研究。使用EX Ante Monte Carlo仿真识别适当的3-D权重矩阵,基于信息标准结合前后验证。通过在多级自由额建模框架中使用所识别的3-D空间权重方案,可以充分占多维空间异质性和空间依赖性的复杂组合。我们的分析结果表明,广州购房者河流景观和河滨地区被视为负廉景,呈现出河流污染的显着负面影响。然而,靠近城市河流被认为是一个积极的效用,揭示了购房者享有与传统水文化的情感和情感联系。黑色的河水本身贬值的公寓价格,并增加了河流视野和河边的负面公用事业。河岸绿化将指挥价格溢价,以及减轻河流视野和河边地点的负面公用事业。虽然沿河延伸的步行路径和坐在长椅的可用性通常被视为积极的效用,但它可能会恶化河视图的负面影响,而是提高河流接近的积极影响。这些结果提供了深入的管理层,进入不同的河流属性如何影响公寓买家的公用事业,从而帮助环境管理人员(与住房开发商合作)设计城市河流修复举措,以便为未来的家庭商创造宜人和有吸引力的社区。

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