SIMURG: A new model for the integrated assessment of sustainability

A. Kanoglu, Deniz Yazicioglu, O. Ozcevik, Nisa Erkovan, Hidayet Softaoğlu, Burcu Ulker, N. Varlier, Ediz Yazicioglu
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引用次数: 0

Abstract

Sustainability assessment is one of the basic issues in the agenda of public authorities and it requires practical tools to measure performance in terms of sustainable development goals. Most studies in literature deal with only one dimension of the problem of environmental components of sustainability. These studies discuss entities at only one level (cities, buildings, etc.), and one layer (green, smart, etc.) in selected dimensions. The literature includes no models that claim to provide an integrated assessment of entities’ performance in the 3D Cartesian system. The presently available models do not offer solutions that would be applicable in practice. SIMURG (A performance-based and Sustainability-Oriented Integration Model Using Relational database architecture to increase Global competitiveness of construction industry) proposes using layers and their KPI sets in the assessment process. In addition to philosophical, organisational, integrational, and computational models, this study aims to develop a lean architecture of a relational database model by eliminating ineffective solutions in the practical dimension, i.e. in the computer model. The model can be used by individuals to help them choose built environment whose characteristics match their expectations. Public authorities can utilise the model to increase the level of accountability, transparency, and legitimacy in their decision-making processes.
SIMURG:可持续性综合评估的新模型
可持续性评估是公共当局议程上的基本问题之一,它需要切实可行的工具来衡量可持续发展目标方面的绩效。文献中的大多数研究只涉及可持续性环境因素问题的一个方面。这些研究只在一个层面(城市、建筑等)和一个层面(绿色、智能等)讨论选定维度的实体。文献中没有模型声称在三维笛卡尔系统中提供实体性能的综合评估。目前可用的模型不能提供在实践中适用的解决方案。SIMURG(一种基于绩效和可持续性的基于关系数据库架构的集成模型,以提高建筑业的全球竞争力)建议在评估过程中使用层及其KPI集。除了哲学、组织、集成和计算模型之外,本研究旨在通过消除实际维度(即计算机模型)中的无效解决方案,开发关系数据库模型的精益体系结构。该模型可用于帮助个人选择符合其期望的建筑环境。公共当局可以利用这一模式来提高决策过程中的问责制、透明度和合法性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
0.30
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0.00%
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9
审稿时长
20 weeks
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