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Recent studies in construction waste and management (CWM) have mainly investigated the waste management chain from a static perspective and failed to take into account the dynamic nature of parameters and their correlation. In addition, the current studies of building information modeling (BIM)-based CWM failed to analyze the cost–benefits due to the lack of numerical economic benchmarks. To address the gap, this study developed a system dynamic (SD) model to analyze the economic aspects of construction and demolition (C&D) waste from using BIM. Causal loop and stock-flow diagrams are modeled based on the determined variables and their interrelationships. Standard sensitivity tests were then performed to establish the validity of the model under real system conditions. Different scenarios were applied to simulate and compare the model results in response to various policies. A case study was conducted to quantify the costs and the profits. Based on the comparison with the conventional approach and BIM-based method, BIM can reduce CWM cost by up to 57%. The findings also indicated that higher landfill charges will not be able to motivate managers to use sustainable CWM; conversely, increasing the modularity of design and earlier realization of net benefits will incentivize project managers to employ BIM-based CWM.

During last decade, design for deconstruction (DfD) has attracted the attention of researchers and project managers as an environmentally friendly alternative to the conventional demolition of buildings. Yet, the intensity of raw materials consumption, waste generation and greenhouse gas (GhG) emission in the construction industry proves that current methods of selecting building components have failed to make the deconstruction effectively feasible. Specifically, in the material selection process, most research studies concentrate on assessing environmental and economic aspects while in selecting material for DfD various factors must be considered. To overcome this gap, this study aims to propose a DfD-based material selection model which enables designers to choose materials that make the recyclability and reusability of building components feasible. To this end, the Kano model is first applied to categorize selection criteria identified via a questionnaire. After extracting the weights of criteria by using Fuzzy-Analytical Hierarchy Process, a Technique for Order Preference by Similarity to the Ideal Solution-based multi-criteria decision-making framework is proposed for choosing the best possible alternatives. Based on the research results, the framework enables designers to find decent materials in terms of DfD requirements. A numerical example is also provided to examine the proposed framework for selecting the most appropriate materials for walls.