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In Malaysia, there are a few numbers of frameworks and checklists in order to evaluate the sustainable performance of buildings. In addition, most of these assessment frameworks or checklists focus on environmental sustainability disregarding social and economic pillars. The research in social and economic sustainability in the construction industry is pushing forward, albeit at a slow pace. In addition, the growing number of sustainable criteria in the literature highlights the importance of a systematic framework for construction initiatives. This research aims to propose a comprehensive framework based on three pillars of sustainability, and, additionally, to categorize them in a manner that is applicable for all relevant stakeholders based on their level of involvement and needs. Finally, it identifies the relation between each criterion and stage of the construction lifecycle with the assistance of an expert panel. This research produces a framework that is useful for Malaysian construction stakeholders to reinforce their approach towards sustainability through social and economic aspects that are currently underestimated in the construction industry.

The purpose of this paper is to develop a conceptual cost estimation (CCE) model for building project by using a pragmatic approach, which is a mix of tools drawn from multiple regression analysis (MRA) and adaptive neuro-fuzzy inference system (ANFIS), to improve the accuracy of cost estimation at an early stage.

This paper presents a set of MRA and integrating MRA with ANFIS or MRANFIS. A simultaneous regression analysis was developed to determine the main cost factors from 12 variables as input variables in the ANFIS model. Cost data from 78 projects of state building in West Sumatra, Indonesia were used to indicate the advantages of the proposed model.

The result shows that the proposed model, MRANFIS, has successfully improved the mean absolute percent error (MAPE) by 2.8 percent from MRA of 10.7–7.9 percent for closeness of fit to the model data and by 3.1 percent from MRA of 9.8–6.7 percent for prediction performance to the new data.

Because the significant variables are different for each building type, the model may be not appropriate for other buildings depending on the characteristics of building. The models can be used and analyzed based on the own historical project data for each case so that the model can be applied.

The study thus provides better accuracy of CCE at an early stage for state building projects in West Sumatra, Indonesia by using the integrated model of MRA and ANFIS.

Although building information modelling (BIM) brings various benefits and open up the construction industry to many new possibilities, it is not without some challenges. Blockchain has the potential to resolve some of these problems. It has shown that blockchain and BIM can potentially work together in bringing various benefits to all project stakeholders. However, there is a lack of research and knowledge in relation to blockchain-based BIM. Therefore, the purpose of this study is to close this gap by looking into the potential functionality and workability of blockchain within a BIM environment.

A four-stage preferred reporting items for systematic reviews and meta-analyses systematic literature review technique has been used to review the blockchain- and BIM-related information sources published. A total of 53 journal articles, 13 books and 27 other resources including that of reports and websites have been included in this paper.

Blockchain-based BIM has countless possibilities, ranging from simple tasks such as tracking of orders to automation of construction payment claims. The literatures have suggested that the several weaknesses that BIM possesses including trust issue, asset ownership issue and data reliability issue could be resolved by incorporating blockchain into its processes.

Because of the lack of researches on the workability of blockchain and BIM, this paper aims to close this gap by proposing a framework for the interaction between blockchain and BIM for a typical building project. This paper has reviewed a substantial amount of currently available knowledge on blockchain-based BIM and its relevancy to the construction industry. This paper believes that the information could be of use to potential BIM tools maker and the construction industry for the betterment of BIM implementation throughout a project life cycle.

Housing has always been a significant aspiration of family expression and distinctly priciest investment by household. It plays a momentous role in the country's economy and so central to the societal well-being that is emplaced in the United Nation Universal declaration of Human rights. Yet in developed and developing world alike, cities struggle to provide decent housing for lower and middle income population. The provision of affordable housing is a major policy concern around the world with Malaysia being no exception; rising income hardly keep pace with price hike of housing unit and housing interventions has majorly concentrated on demand side leading to a non-responsive supply sector. Therefore, this paper highlights affordable housing issues pertaining Malaysia. It formulates Malaysian Map of affordability and conducts an evaluation of global housing schemes to better identify policy priorities for Malaysia. It's significant to harmonize supply and demand side factors in the housing market to ensure that housing supply fits the needs of citizens based on the location, price and target group. In case of Malaysia supply oriented initiative are of urgency in short and medium run. This must be supported by long term demand side schemes in parallel. Convergence of these two factors is essential for a balanced equilibrium and obtaining affordability.