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Housing Affordability and Income-threshold in Social Housing Policy

机译:社会住房政策中的住房负担能力和收入门槛

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The issue of affordable housing has again become crucial in ensuring a greater social equity, increasing social cohesion and reducing inequalities within metropolitan or regional systems which, in the current climate of severe economic crisis, have to respond to global challenges of development, innovation and sustainability. This study aims at building a system of knowledge about the housing affordability on the territorial scale, by which to identify the local characteristics of housing problems that could be solved through traditional planning tools or new practices of social housing, which involves private stakeholders and/or public administrations. This system of knowledge should include the analysis of the wealth distribution both in terms of income and real estate market price, and the calculation of the income-thresholds (based on the HAI-Housing Affordability Index) that filter the access to the real estate market. All these data are used to define the correspondences between groups of people and affordable housings, distinguishing them both by income and urban location. This approach is applied to the case study of the territorial system of the Province of Syracuse (Italy) and it allows appraising the gap between housing prices and income level in different areas of seven towns. To know the size and the spatial distribution of these gaps is a valuable tool to orientate the housing policy, to select the best model of social housing and to design the equitable parameters of social housing projects for each town.
机译:经济适用房问题再次成为确保更大程度的社会公平,增强社会凝聚力和减少城市或区域系统内不平等的关键,而在当前严重的经济危机形势下,城市或区域系统必须应对发展,创新和可持续性的全球挑战。这项研究旨在建立一个关于领土规模的住房负担能力的知识体系,从而确定住房问题的地方特征,这些特征可以通过传统的规划工具或社会住房的新做法来解决,这涉及私人利益相关者和/或公共行政。这种知识体系应包括从收入和房地产市场价格两方面对财富分配进行分析,并计算收入阈值(基于HAI住房可负担性指数),以过滤进入房地产市场的机会。 。所有这些数据都用于定义人群与经济适用房之间的对应关系,并根据收入和城市位置对其进行区分。这种方法适用于锡拉库扎省(意大利)的领土系统的案例研究,它可以评估七个城镇不同地区的房价与收入水平之间的差距。了解这些差距的大小和空间分布是制定住房政策,选择最佳社会住房模型和设计每个城镇社会住房项目公平参数的宝贵工具。

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