Sustainability plays an important role in protecting the surrounding environment from adverse impacts. It becomes a spotlight for researchers and engineers. The continuously developing social, economic, and environmental challenges need an evolution of the current sustainable building design factors with maintaining a direct relationship with the past and future. Based on reviewing the literature, the current factors are identified. However, there is a lacking in identifying future factors and exploring the interrelationship between current and future factors. This study identifies then validates future factors by using the Delphi technique. Moreover, explores the interrelationship between factors by applying the multi-criteria decision making (MCDM), in particular the interpretive structural modeling (ISM) and cross-impact matrix multiplication applied to classification (MICMAC) methods. Finding the interrelationship will help future engineers in making decisions. A five-level model is generated which includes twelve factors, linking current and future factors. This model suggests that location and transportation factor is the key factor in the decision-making of designing sustainable buildings. Moreover, driving and dependence powers will guide the engineers in concentrating on the key factor. Accordingly, the factors are allocated into dependent and linkage clusters. Building space optimization factor has a high dependency on other factors as it is the only factor appears in the dependent cluster. While most of the factors appear in the linkage cluster which are unstable in the system and just transferring the effect. Future research work can consider other MCDM tools in validating the results.