Abstract
Green buildings are a crucial environmentally friendly component for sustainable human habitation and for the preservation of a healthy ecosystem. This study proposes a novel hybrid model to explore the influential relationship of various indicators and their importance for a green building evaluation system. First, a green building index system is established based on a review of recent literature on green building evaluation systems. Then, the decision making trial and evaluation laboratory (DEMATEL) technique is utilized to determine the influential relationship among the criteria. Finally, a novel best worst method (BWM)-based analytic network process (ANP) model is applied to determine the influential weight of the criteria. The result indicated that the top five ranked criteria are all classified within the two dimensions of waste reduction and energy saving. An empirical case study of an example in Taiwan is carried out to demonstrate the effectiveness of the proposed model. Management implications are also provided.
Highlights
The recent rapid growth in environmental awareness worldwide is propelling architects and engineers to develop novel ideas and technologies that would facilitate green building
The novel multi-criteria decision making (MCDM) model proposed in this study integrates the decision making trial and evaluation laboratory (DEMATEL) and a best worst method (BWM)-based analytic network process (ANP) methods to determine the complex relationships in a green building evaluating system and the influential weights of the indicators
We propose a green building rating framework based on a novel MCDM model
Summary
The recent rapid growth in environmental awareness worldwide is propelling architects and engineers to develop novel ideas and technologies that would facilitate green building. Understanding the influential relationships and importance of indicators within these evaluation systems will help in the implementation of good practices for developing green buildings. Shao et al [10] applied a hybrid model to generate an influential network relationship map (INRM), mapping the relations among assessment systems They first derived the criterion weights by using the decision-making trial and evaluation laboratory-based analytical network process (DANP) method. The novel MCDM model proposed in this study integrates the DEMATEL and a BWM-based ANP methods to determine the complex relationships in a green building evaluating system and the influential weights of the indicators. (ii) A novel hybrid method, the BWM-based ANP model, is applied to explore the importance of these green building indicators.
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