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Despite the safety improvement drive that has been implemented in the construction industry in Singapore for many years, the industry continues to report the highest number of workplace fatalities, compared to other industries. The purpose of this paper is to discuss the theoretical framework of the safety aspect of a proposed BIM System to determine a Safety Index. An online questionnaire survey was conducted to ascertain the current workplace safety and health situation in the construction industry and explore how BIM can be used to improve safety performance in the industry. A safety hazard library was developed based on the main contributors to fatal accidents in the construction industry, determined from the formal records and existing literature, and a series of discussions with representatives from the Workplace Safety and Health Institute (WSH Institute) in Singapore. The results from the survey suggested that the majority of the firms have implemented the necessary policies, programmes and procedures on Workplace Safety and Health (WSH) practices. However, BIM is still not widely applied or explored beyond the mandatory requirement that building plans should be submitted to the authorities for approval in BIM format. This paper presents a discussion of the safety aspect of the Intelligent Productivity and Safety System (IPASS) developed in the study. IPASS is an intelligent system incorporating the buildable design concept, theory on the detection, prevention and control of hazards, and the Construction Safety Audit Scoring System (ConSASS). The system is based on the premise that safety should be considered at the design stage, and BIM can be an effective tool to facilitate the efforts to enhance safety performance. IPASS allows users to analyse and monitor key aspects of the safety performance of the project before the project starts and as the project progresses.

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Purpose -The purpose of this study is to present the importance of integrating common features between the Green Mark Scheme (GMS) and the Buildable Design Appraisal System (BDAS) requirements in building envelopes. Design/methodology/approach -The study presents the common features that influence both the GM score of the building envelope and the buildability score of the wall system. A case study is developed to show the effects of varying the value of a representative common feature in the GM score and the buildability score. Findings -The study finds that lengths of window and wall, and wall materials are the common features that can influence the GM score of the building envelope and the buildability score of the wall system. The case study suggested that the window-to-wall ratio (WWR), which is the representative common feature, shows negative relationship with the GM score of the building envelope and positive relationship with the buildability score of the wall system.Research implications/limitations -The results show that varying the WWR influences the GM score of the building envelope more strongly than the buildability score of the wall system. This seems to imply that building professionals when determining the WWR may have to concern themselves with the GM score of the building envelope more as compared to the buildability score of the wall system. Originality/value -The study suggests that integrating the common features between GMS and BDAS requirements with other relevant factors such as cost, social and environmental impacts of design can help to save workload, time and budget, as well as facilitate the delivery of more reliable design, planning and management from a practical viewpoint.

Building information modeling (BIM) for facilities management (FM) has been gaining considerable attention. Construction operations building information exchange (COBie) datasheets are conceptualized as an electronic format of data for FM handover extracted from the BIM model and supplemented with information from other sources. To build an efficient COBie datasheet, it is advocated to build and verify data at all stages of design and construction, commonly known as data drops. Nevertheless, data consistency verification is a difficult task pertaining to COBie's complex structure and data representation. This study aims to understand the challenges associated with the COBie datasheet verification and consistency checking process, especially during data drop stages, and develop a solution to mitigate these challenges. The study uses a combined methodology of design thinking and waterfall model from the software development process. The outcome of the research study manifests in a prototype application. The prototype application can help in verifying COBie datasheet consistency during data drop stages. Additionally, this study proposes a new dimension to utilize the COBie datasheet to track various asset-related changes in a project by comparing COBie datasheets and visualizing this data in a visually interactive manner using a property graph model.