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首页> 外文期刊>Journal of Urban Planning and Development >Spatially Subsidized Benefits-Based Spatial Decision for Affordable Housing: Prototype and Case Study in China
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Spatially Subsidized Benefits-Based Spatial Decision for Affordable Housing: Prototype and Case Study in China

机译：基于空间补贴的福利，适用于经济适用住房的空间决策：中国原型和案例研究

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摘要

Chinese cities have experienced unprecedented growth in the past few decades. In this context, the rapid rise of housing prices in Chinese cities makes the affordability of homeownership one of the biggest challenges related to people's livelihood. As a forming part of public housing, affordable housing in China mainly targets medium and low-income urban residents who cannot afford commodity housing. The spatial site selection and layout of affordable housing, which becomes a challenge for urban planners and policymakers, is potentially related to a spatial differentiation and the spread of poverty. In this study, we propose a conceptual model of spatially subsidized benefits (SSBs) of affordable housing by combining affordable housing prices and ordinary commodity housing prices in the same or adjacent location in the city. Moreover, by integrating the multiple digital elevation models (DEMs) with geographic information systems, we design a prototype for the spatial decision support system of affordable housing, which takes into account the cost of land for government, public transport facilities, residents' spatial demand, and the prevention of spatial differentiation. Using the case of Wuhan (China), we simulate the spatial layout of the SSBs of affordable housing in the city under multiple hypothetical scenarios. Our results show that SSBs display clear hierarchical characteristics under different scenarios. The findings indicate that the quantitative spatial decision method based on SSBs can provide effective technical support for Chinese urban planners or policymakers to realize a scientific layout of affordable housing under different scenarios, avoiding the risk of spatially differentiating low-income residents. Further, it also provides some insights into the innovative application of multiple DEMs in urban planning.
机译：中国城市在过去几十年中经历了前所未有的增长。在这方面，中国城市房价的快速上升使房屋的负担能力成为与人民生计有关的最大挑战之一。作为公共住房的成立部分，中国的经济适用房主要是无法承受商品住房的中低收入城市居民。空间场所选择和布局的经济适用房，这成为城市规划者和政策制定者的挑战，可能与空间分化和贫困的传播有关。在这项研究中，我们提出了通过在城市的相同或邻近地区的经济适用房价和普通商品房价相结合，提出了经济适用住房的空间补贴福利（SSB）的概念模型。此外，通过将多个数字高度模型（DEMS）与地理信息系统集成，我们设计了适用于经济适用房的空间决策支持系统的原型，这考虑了政府，公共交通设施，居民空间需求的土地成本和预防空间分化。使用武汉（中国）的情况，我们在多个假设情景下模拟城市经济适用房的SSB的空间布局。我们的结果表明，SSBS在不同方案下显示明确的分层特征。结果表明，基于SSB的定量空间决策方法可以为中国城市规划者或政策制定者提供有效的技术支持，以实现不同情景下的经济适用房的科学布局，避免了空间区分低收入居民的风险。此外，它还对城市规划中的多个DEM的创新应用提供了一些见解。

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