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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.

Malaysia has experienced a significant surge in COVID-19. The “new normal” has plunged construction players into one of the most challenging times in their history, including the quantity surveyors (QS). Playing a primary role from pre-construction to post-construction stages, QS is essential to ensure project success. This study aims to clarify the impact of COVID-19 on quantity surveying practices to provide a better understanding of the construction sector's downturn during the pandemic.

Preliminary exploratory interviews were conducted with ten QS, architects, project managers and engineers to identify quantity surveying practices affected by the pandemic, followed by a survey involving 222 respondents to determine the significance of these impacts.

It was found that quantity surveying practices involving site visits, such as variation work valuation and interim payment valuation, were the most affected by the pandemic. On the other hand, consultative services such as value management and advisory services were the least affected.

The study faced data sampling limitations. Further research requires more insights on different groups of QS, such as consultants, contractors and developers, and reasons behind the difference in consensus between QS and non-QS respondents.

The insights from this research may help authorities and construction companies make necessary adjustments to ensure the quantity surveying profession remains resilient, hence a better chance of project success during a pandemic. This discovery can also be considered a significant opportunity to present the need for further development.

The findings are expected to explain how COVID-19 had affected the duties of QS and identify which impact is the most significant. This research will complement the existing publications on the impacts of COVID-19 on 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.

Global warming and climate change is one of the biggest issues facing humanity in this century; its effects are felt on the highest peaks of Mount Everest to the low-lying islands in the India Ocean. This century marked the highest amount of carbon dioxide (CO₂) emitted, breaking records of the past 650,000 years, and we have pushed the climate to “a point of no return”. Much of the climate contribution has been linked to humanity’s thirst for higher living standards and lifestyle, which has led to higher consumerism, depletion of earth’s resources, production of massive waste and carbon emissions. Fast forward from the sustainability agenda of Brundtland set in 1987 and the increasing demand for energy consumption to cater for the current global inhabitants, many “green” efforts have been taken by the building industry to reduce the overall environmental impact. This purpose of this study is to compare energy performance of a conventional office building with a green certified building.

This paper tries to bridge the performance gap by comparing measured operational energy consumption and carbon emission of Green Building Index (GBI)-certified office buildings in Kuala Lumpur, to determine whether “green buildings” are performing as intended in reducing their environmental impact.

This paper highlighted and compared operational energy consumption and carbon emissions of a GBI-certified office with a conventional office building in Malaysia. The paper also discusses the performance gap issue and its common causes, and aims to compare predicted energy and operational energy performance of buildings.

Initiatives such as “green” or “sustainable” design have been at the forefront of architecture, while green assessment tools have been used to predict the energy performance of a building during its operational phase. There is still a significant performance gap between predicted or simulated energy measurements to actual operational energy consumption. The need to measure actual performance of these so-called “green buildings” is important to investigate if there is a performance gap and whether these buildings can perform better than conventional buildings. Understanding why the performance gap occurs is a step in reducing actual and predicted energy performance in buildings.

The synergy of lean construction and building information modelling (BIM) is an important change and transformation driver in the construction industry. It adds value and increases the productivity of construction processes. However, the implementation of lean-BIM in Malaysia is still lacking despite the accelerating BIM adoption rate. This study, therefore, aims to explore factors that potentially drive construction players to adopt lean-BIM for construction projects.

Exploratory interviews were conducted with five construction players knowledgeable in lean and BIM to identify the driving factors for them to implement lean-BIM. Respondents were obtained through the snowball sampling technique, initiated by approaching a government agency that oversees Malaysia's construction industry. Findings were then analysed using thematic analysis.

Findings have shown that four driving factors for construction players initiating the use of lean-BIM in construction projects are (1) top management support, (2) standardisation (3) comprehensive training and (4) financial support.

Due to the exploratory nature of this study and the chosen research design, the conclusions cannot be generalised but can become the indicators for lean-BIM future works in Malaysia or any other developing countries.

The insights from this study provide preliminary indicators for driving the adoption of lean-BIM. This discovery may also help construction companies and policymakers plan appropriate initiatives or strategies to present the need for lean-BIM further development in Malaysia.

The findings are expected to contribute to the lean-BIM research in terms of the demographic context, particularly in Malaysia and possibly assist lean and BIM researchers, practitioners and policymakers in developing countries' perspective.

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.