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REDIS: A value-based decision support tool for renovation of building portfolios

机译:REDIS:基于价值的决策支持工具,用于建筑组合的翻新

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Renovation of the existing building stock is getting increased attention in many European countries. One decision to be made by the professional building owner is the prioritization of which buildings to renovate within a building portfolio. This article proposes a new, value-based decision support tool, REDIS, which can support the professional building owner in this process. REDIS provides a framework for dialogue in the pre-design stage of renovation projects, and calculates a Renovation Value Factor for each building, based on a number of criteria weights, building status data and estimated renovation costs, indicating which buildings give the building owner most value for money if renovated. The REDIS tool is demonstrated through an application example using real data from a case of selecting which school buildings to renovate within a portfolio of 56 schools. Representatives from the municipality that owns the 56 schools compared the results of the REDIS tool to the results of their original decision process, where ten out of the 56 schools were chosen for renovation. The result from the tool differed from the original decision results. The evaluation results indicated that the REDIS tool supports the building owner in choosing which buildings to renovate within a building portfolio. The contributions of this study are the proposed decision support framework and the tool prototype, with the major contribution being to encourage a structured dialogue among the decision makers.
机译:在许多欧洲国家,对现有建筑存量的翻新越来越受到关注。专业建筑所有者要做出的一个决定是,在建筑组合中优先考虑哪些建筑进行翻新。本文提出了一种新的,基于价值的决策支持工具REDIS,它可以在此过程中为专业建筑物的所有者提供支持。 REDIS提供了一个在翻新项目的设计前阶段进行对话的框架,并基于许多标准权重,建筑状态数据和估计的翻新成本,为每座建筑计算了一个翻新价值因子,指出了哪些建筑给业主带来了最大的收益装修后物有所值。通过一个使用实际数据的应用示例演示了REDIS工具,该案例来自于在56所学校的投资组合中选择要翻修哪些校舍的案例。拥有56所学校的市政当局的代表将REDIS工具的结果与原始决策过程的结果进行了比较,在原始决策过程中,从56所学校中选择了十所进行翻新。该工具的结果与原始决策结果不同。评估结果表明,REDIS工具可支持建筑物所有者选择建筑物组合中的哪些建筑物。这项研究的贡献是拟议的决策支持框架和工具原型,主要贡献在于鼓励决策者之间进行结构化的对话。

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