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Sustainability framework for buildings via data analytics

机译：通过数据分析的建筑可持续性框架

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Sustainability is the most important goal to pursue in all aspects of human activity, not least of which in the built environment. Sustainability encompasses social, economic and ecological impacts which are influenced by collinear and correlated factors. A qualitative description of sustainability is a necessary but not sufficient requirement as it could be misleading and counterproductive. Accordingly, a Sustainability Performance Metric (SPM) framework was formulated using latent variable methods to manage sustainability indicators. The development of SPM was guided conceptually by sustainability principles and its implementation by objective and function statements. Single-family-detached housing was employed as a test of the concept. Corresponding datasets were generated using reliable models, specifically Athena Impact Estimator for Buildings, EnergyPlus, Building Information Modelling software, and an Input/Output socio-economic predictor. The results revealed the importance of observing all aspects of sustainability through a metric such as the SPM, the sensitivity of the SPM to the correlated factors, and the impacts of construction trends appearing in the North American marketplace on sustainability.
机译：可持续性是人类活动各个方面追求的最重要目标，尤其是在建筑环境中。可持续性包括受共线和相关因素影响的社会，经济和生态影响。对可持续性进行定性描述是必要但不充分的要求，因为它可能会产生误导和适得其反的作用。因此，使用潜在变量方法制定了可持续发展绩效指标（SPM）框架来管理可持续性指标。 SPM的发展在概念上以可持续性原则为指导，并在目标和职能声明中予以实施。采用单户独立式住房作为对该概念的检验。相应的数据集是使用可靠的模型生成的，特别是用于建筑的Athena Impact Estimator，EnergyPlus，Building Information Modeling软件以及输入/输出社会经济预测器。结果表明，通过诸如SPM，SPM对相关因素的敏感性以及北美市场上出现的建筑趋势对可持续性的影响等指标来衡量可持续性各个方面的重要性。

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