Department of Geography, The University of Hong Kong, Pokfulam Road, Hong Kong.
Department of Geography, The University of Hong Kong, Pokfulam Road, Hong Kong.
Sci Total Environ. 2021 Jun 10;772:145547. doi: 10.1016/j.scitotenv.2021.145547. Epub 2021 Feb 3.
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.
纵观历史,城市河流一直被视为满足人类各种需求的宝贵自然元素,并影响着人们的居住地点。随着现代城市在垂直方向上的不断扩张,城市河流如何在 3D 背景下影响住房价值和购房者的购买决策,引起了研究人员、环境从业者、城市规划者和政策制定者的极大关注。在本文中,我们试图以中国南方广州充满活力的高层公寓住房市场为例,估计购房者的效用如何受到各种河流属性及其相互作用的影响。根据信息标准,通过事前蒙特卡罗模拟与事后验证相结合,确定了合适的 3D 权重矩阵。通过在多层次自回归建模框架中使用识别出的 3D 空间权重方案,可以充分考虑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,河流景观和滨水位置被广州购房者视为负效用,表明河流污染的显著负面影响。然而,靠近城市河流被视为正效用,表明购房者享受亲近自然和与传统水文化的情感联系。黑臭河水本身会降低公寓价格,并增加河流景观和滨水位置的负效用。河岸绿化将带来溢价,并减轻河流景观和滨水位置的负效用。虽然河边步行道和坐凳的可用性通常被视为正效用,但它可能会加剧河流景观的负面影响,但增强河流接近度的正面影响。这些结果为如何不同的河流属性影响公寓购买者的效用提供了更深入的管理见解,从而帮助环境管理者(与住房开发商合作)设计城市河流恢复计划,为潜在购房者创造宜人且有吸引力的社区。