Building information modelling (BIM) has significantly influenced the construction industry. However, the existing BIM tools and frameworks within prefabricated buildings are minimal. This research study aims to identify the opportunities and barriers of integrating BIM in the Australian prefabrication industry. The research was carried out using a mixed method of literature review and questionnaire survey with 30 indudstry professionals. The literature review identified the key challenges associated with prefabricated buildings including construction discipline-specific, fabrication-specific issues and communication-specific issues. The survey results proved that the most significant BIM opportunities are minimizing design errors and discrepancy of final product model between designers and manufacturers and increasing mass customization. The study revealed that seamless and timely information exchange among key project stakeholders via a BIM system was identified as the most critical success factor to adopt BIM in the prefabrication industry. This research provides practical insights into how to utilize BIM effectively for prefabrication in the housing sector. The survey results document the opportunities and barriers to BIM integration and provide professional insights on how BIM can benefit the prefabrication. The study contributes to the body of knowledge on enhancing the productivity/practice of prefabrication through BIM integration within the Australian housing context.

Sensing technologies demonstrate promising potential in providing the construction industry with a safe, productive, and high-quality process. The majority of sensing technologies in the construction research area have been focused on construction automation research in prefabrication, on-site operation, and logistics. However, most of these technologies are either not implemented in real construction projects or are at the very early stages in practice. The corresponding applications are far behind, even in extensively researched aspects such as Radio Frequency Identification, ultra-wideband technology, and Fiber Optic Sensing technology. This review systematically investigates the current status of sensing technologies in construction from 187 articles and explores the reasons responsible for their slow adoption from 69 articles. First, this paper identifies common sensing technologies and investigates their implementation extent. Second, contributions and limitations of sensing technologies are elaborated to understand the current status. Third, key factors influencing the adoption of sensing technologies are extracted from construction stakeholders’ experience. Demand towards sensing technologies, benefits and suitability of them, and barriers to their adoption are reviewed. Lastly, the governance framework is determined as the research tendency facilitating sensing technologies adoption. This paper provides a theoretical basis for the governance framework development. It will promote the sensing technologies adoption and improve construction performance including safety, productivity, and quality.

Occupant comfort in buildings is one of the most crucial considerations in designing a building. Accordingly, there is a growing interest in this area. Aspects of comfort include thermal comfort, visual comfort, acoustic comfort, and indoor air quality (IAQ) satisfaction. The objective of this state-of-the-art review was to provide a comprehensive, explicit, and up-to-date literature review on occupant comfort in buildings, since this issue has a great impact on the lifestyle, health, and productivity of occupants. A meta-synthesis method was also used for an analytical-interpretive review of previous studies. In this research, scientific research studies related to the subject of indoor occupant comfort in the period 2002–2022 were reviewed. Previous reviews have often covered the fundamental concepts and principles related to indoor occupant comfort. Although innumerable studies have focused on thermal comfort, other aspects of occupant comfort have not been considered. The review is analyzed and discussed in reference to type of study, case study geographical locations and climate zones, case study building types, decision-making models, assessment criteria, data-collection tools, and data analysis strategies. Finally, future research recommendations are presented. Through the review, we find that the comfort models used in research are mostly based on comfort perception votes collected from experimental studies, which may not reflect the preferences of users well. In addition, only the influence of environmental factors on the models has been investigated, and other personal factors have been ignored. This study presents a useful guide for researchers to determine their outlines for future research in this field.