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Structuring a Residential Satisfaction Model for Predictive Personalization in Mass Social Housing

机译:构建群众社会住房预测个性化的住宅满意度模型

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摘要

Ensuring access to quality social housing is a major challenge for developing countries. The problems of standardized mass housing are well-known. However, this type of provision is ubiquitously used for its advantages when addressing pressing shortages, often resulting in significant mismatches between the attributes of the housing and the requirements of the dwellers. This multidisciplinary study explores linkages between personalized development and residential satisfaction towards informing a mass personalization approach to social housing. In specific, it presents a model that formalizes this relationship using expectancy disconfirmation theory and field information. A housing survey was conducted in four estates located in Concepción, southern Chile, and complemented with environmental performance data generated with simulation software. The analysis of the results suggests that the relationship between occupants and providers (i.e., personalization as a service) can influence the build-up of expectations, while the capacity of the dwellings to meet the requirements of different households (i.e., personalization as a product) can have a significant impact on satisfaction. These outcomes are formalized with a model that acknowledges these links at different stages of occupancy and, therefore, can be used to inform the personalized development of mass social housing.
机译:确保获得优质的社会住房是发展中国家的主要挑战。标准化群众住房的问题是众所周知的。然而,这种类型的规定在解决压力短缺时普遍存在的优点,通常导致住房属性与居民的要求之间存在显着不匹配。这项多学科研究探讨了个性化开发与住宅满意之间的联系,以便向社会住房提供大规模个性化方法。具体而言,它提出了一种模型,它使用期望的DisconFirmation理论和现场信息来形式地形成这种关系。住房调查是在智利康西省康西翁翁翁,四个庄园进行的,并补充了用仿真软件产生的环境绩效数据。结果分析表明,乘员和提供者之间的关系(即,作为服务的个性化)可以影响预期的积累,而住宅的能力满足不同家庭的要求(即个性化作为产品的个性化)可以对满足感到重大影响。这些结果与一个模型正式化,该模型确认了占用阶段的不同阶段的这些联系,因此可以用来向大规模社会住房提供个性化发展。

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