瑞士租户的居住流动性:住房功能的作用。

Anna Pagani, Ivo Baur, Claudia R Binder
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引用次数: 8

摘要

居住偏好和住宅之间的相互作用是一个复杂的系统,其功能迄今尚未得到充分的探索。在本文中,我们在瑞士租赁住房的背景下,研究住房功能作为家庭居住流动性的协调者。我们提出了一个理论的多步骤模型,并使用来自878名瑞士租户的调查数据来检验模型的联系。通过统计分析,我们首先观察到,当理想居住功能与现有居住功能之间的差距减小时,租户的居住满意度更有可能增加。其次,研究结果显示,触发搬家的事件(如工作机会)的有效性与住宅满意度和触发前住宅履行的功能显著相关。第三,研究结果表明,这些触发事件可以分为三种类型:根本性变化、问题解决和机会。在中等效应规模下,研究发现,在过去和现在的住宅之间,一个根本性的变化带来了最强烈的住房功能变化。最后,根据居住偏好随生命历程而变化的假设,发现社会人口特征和租赁类型是家庭理想住房功能的重要解释变量。透过厘清房屋系统的复杂性,我们所提出的多步骤模型可以在基于主体的模型模拟中,将住户的偏好与供应方面的限制结合起来,从而促进提供优质房屋,即能够满足当前和未来居住者需求的房屋。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Tenants' residential mobility in Switzerland: the role of housing functions.

Tenants' residential mobility in Switzerland: the role of housing functions.

Tenants' residential mobility in Switzerland: the role of housing functions.

Tenants' residential mobility in Switzerland: the role of housing functions.

The interaction between residential preferences and dwellings is a complex system whose function thus far remains insufficiently explored. In this paper, we investigate housing functions as orchestrators of households' residential mobility in the context of Swiss rental housing. We propose a theoretical multi-step model and use survey data from 878 Swiss tenants to inspect the model's linkages. From the statistical analysis, we firstly observe that tenants' residential satisfaction is more likely to increase when the gap between ideal housing functions and those actually fulfilled by the current dwelling decreases. Secondly, results show that the effectiveness of an event (e.g. a job opportunity) in triggering the move is significantly related to both residential satisfaction and the functions the dwelling fulfils prior to the trigger. Thirdly, findings show that these trigger events can be grouped into three types: radical change, problem-solving and opportunity. With a medium effect size, a radical change was found to bring about the strongest change in housing functions between past and current dwellings. Lastly, in line with the hypothesis that residential preferences vary over the life course, socio-demographic characteristics and tenancy types are found to be significant explanatory variables for households' ideal housing functions. By disentangling the complexity of the housing system, the proposed multi-step model can be used to integrate households' preferences with supply-side constraints in agent-based model simulations, thereby contributing to fostering the provision of quality housing, i.e. dwellings able to meet the needs of current and future occupants.

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