德尔菲法
计算机科学
评价方法
可拓方法
北京
资源(消歧)
索引(排版)
扩展(谓词逻辑)
运筹学
可靠性工程
工程类
人工智能
计算机网络
中国
万维网
法学
政治学
程序设计语言
作者
Jingqi Zhang,Hui Zhao,Zhijie Li,Ziliang Guo
出处
期刊:Kybernetes
[Emerald (MCB UP)]
日期:2022-06-14
标识
DOI:10.1108/k-03-2022-0378
摘要
Purpose The purpose of this paper is to evaluate green buildings from the angle of greenness and improve the evaluation system. And the matter-element extension method is used to evaluate the greenness of green buildings, in order to provide useful references for the evaluation system of green buildings. Design/methodology/approach First, this paper studies the aspects of safety and durability, health and comfort, living convenience, resource-saving, environmental liability and ecological quality, etc. For the first time, carbon emission is included in the evaluation system, 18 key evaluation indexes are determined by using the Delphi method, and the green building evaluation index system is established. Then, the combined weight method is proposed to determine the weight of each evaluation index, and the greenness evaluation model of green building is established with the matter-element extension method. Finally, taking Beijing Daxing International Airport as an example, the evaluation model of green building greenness was established to evaluate the building. Findings In this paper, the greenness evaluation model of green building established by the matter-element extension method solves the problem of incompatibility between qualitative and quantitative material elements in multi-factor evaluation. It makes the evaluation indexes more accurate and objective relative to the affiliation calculation of the evaluation set and improves the scientific, accuracy and reliability of the evaluation model. Originality/value In this paper, for the first time, carbon emission-related indicators are included in the green building evaluation system, which makes the evaluation system more perfect. In addition, a more scientific extension matter-element method is used to evaluate the greenness of green buildings, breaking the previous rough star evaluation method.
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