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    Enhancing Hazard Identification: A Comprehensive Approach to Personalized Safety Training Addressing Cognitive Limitations

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    Safety training plays a pivotal role in elevating workers\u27 hazard identification skills. Recent research emphasizes the need for tailored training, acknowledging individuals\u27 diverse cognitive limitations, including attentional failures and misperceptions of risks. Despite recognizing the importance of personalized safety training, existing research predominantly only categorizes cognitive failures without developing customized interventions to address these issues. To bridge this gap, this study (1) conducted a comprehensive literature review to delineate the characteristics of each type of cognitive limitation and potential training strategies and (2) developed a personalized safety training program and validated the effectiveness of the proposed methods. Our findings reveal that, on average, the customized training enhanced hazard identification performance among participants by 23%. This study contributes to the existing body of knowledge by offering actionable insights into the development and validation of personalized safety training strategies by focusing on mitigating cognitive failures

    Building a Better Future: The Australian Journey Towards Achieving Sustainable Development Through Social Procurement Policies

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    Social procurement is a recent policy development in public administration that has blurred the traditional boundaries of governance by collaborating with the private sector for societal transformation and wicked issues resolution. The Sustainable Development Goals (SDGs) emphasise the significance of inclusive growth and development, prompting governments worldwide to employ social procurement policy initiatives within the infrastructure sector as a practical vehicle for achieving the transformative vision. This has given rise to a vast array of social procurement policies within Australian governments. However, the creation of these policies has also generated significant confusion, especially regarding the effective implementation and evaluation of these policies. Thus, the current study aims to assess the social procurement policy landscape affecting the Australian infrastructure sector in achieving the SDGs. By employing a qualitative research approach and a jurisdictional scan, the study identified 73 policies through the analysis of 71 documents, with Victoria and New South Wales emerging as the most proactive Australian states in social procurement policy formulation. The study has observed that state governments generally have a more comprehensive scope in their social procurement policies than territorial governments in achieving the SDGs

    Machine learning for the prediction of rework in green buildings

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    Green buildings were developed to reduce the negative impact of construction on occupants, communities, and the environment, while also improving contractor productivity and profit margins. However, construction companies have documented instances of rework in green buildigs, despite the advantages and potential of sustainable building designs. This paper reports research that identified the prediction of rework green buildings; Eight machine learning models were trained to predict the occurrence of reworks in green buildings. The dataset consisted of 65 responses and 16 features. Feature scaling and normalisation to standardise the features were performed across the dataset. The research finds variation in the project, cost overrun, time over run, client experience, types of client, specification and project\u27s size were the main predictors of reworks in the green buildings. The results revealed that Gradient Boosting, AdaBoost and Random Forest delivered the most accurate results. The Gradient Boosting model achieved an accuracy of 97% on the test dataset, with a precision of 97%, recall of 97%, and F1-score of 97%. The AdaBoost model achieved a slightly higher accuracy of 97%, with a precision of 97%, recall of 92%, and F1-score of 97%. The research will serve as a valuable reference for all stakeholders involved in the procurement of green buildings. The findings will have significant theoretical and practical implications, guiding future research on the creation of a sustainable built environmen

    A Review of BIM and RFID Integration for Circular Economy in Construction

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    The construction industry (CI) is at a pivotal point as sustainability becomes increasingly critical across all sectors. Digital technologies such as Building Information Modeling (BIM) and Radio-Frequency Identification (RFID) are emerging as powerful tools to drive efficiency and sustainability in construction processes. However, integrating these technologies within a circular economy (CE) framework presents significant challenges and opportunities. This systematic literature review (SLR) delves into the current state of using BIM and RFID tags to support circularity in the CI while investigating the potential of using digital technologies to develop strategies for resource management, waste reduction, and materials reuse. This SLR examines journal and conference papers published between 2013 and 2023 that were found on Web of Science and Scopus databases. Key findings highlight the promise of BIM and RFID integration in enhancing construction efficiency and aligning with CE principles. Challenges in their adoption include the lack of policies and standards, alongside a general unawareness of their potential. Despite their adoption at an increasing rate in the industry, studies focusing on combining BIM with RFID for CE are limited, indicating an emerging field. Overall, this SLR identifies research gaps and opportunities to guide future efforts in leveraging BIM and RFID for circularity in construction

    Exploring Fire Safety Challenges on Construction Sites: Insights from Stakeholders

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    Construction sites face significant fire safety challenges due to flammable materials, hot work, a dynamic environment, and large workforces. Despite efforts to improve construction safety, fire incidents continue to pose a significant risk to construction workers, properties, and surrounding buildings. This paper aims to identify and prioritize current construction fire safety challenges and further guide future research directions. A structured hybrid workshop was conducted to gather insights from relevant stakeholders across industry, health and safety organizations, and standards organizations. Prior to the workshop, challenges were identified through literature and an online survey completed by participants. In the first part of the workshop, participants ranked the challenges individually, and the mean rank of each challenge was calculated. In the second part, participants were divided into four groups, and a new ranking was generated through group discussions. Finally, an open discussion between different groups provided further insights. This study identified 29 challenges across four broader categories: incident investigation, risk assessment, risk response planning, and monitoring and detection. The top challenges in each category were: incomplete analysis of contributing factors, unclear relationship between risk factors and fire outcomes, lack of training in recognizing fire hazards, and limitations of manual fire watches. By identifying key and urgent challenges, this study provides valuable insights for the further improvement of construction fire safety

    Systematic Assessment and Dynamic Optimization of End-of-Life Carbon in Modular Integrated Construction

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    Modular integrated construction (MiC) has emerged as an effective construction technique for mitigating carbon emissions from buildings. Despite the great efforts dedicated to quantifying the carbon generated by MiC buildings, the carbon values and savings potential during the end-of-life (EoL) phase have never been made explicit. This study aims to systematically evaluate and dynamically optimize the EoL carbon in relation to MiC buildings. An innovative carbon assessment model was developed by integrating system dynamics (SD) into the life cycle assessment (LCA) framework and then empirically validated through a case study of a steel residential MiC building in Hong Kong. The results reveal that the direct carbon emissions during the EoL stage are estimated to be 12.39 kg CO2e/m2, most of which are attributed to waste processing, followed by transportation, demolition, and waste disposal. Due to the reuse of modular materials and the recycling of waste materials, EoL carbon savings amount to 990.78 kg CO2e/m2, leading to net emissions of -978.39 kg CO2e/m2. Despite this substantial reduction potential, it is significantly affected by building maintenance, recycling subsidies, and landfill charges. In contrast, energy-related strategies demonstrate a limited impact on overall net emissions. This study makes an original contribution to understanding the extent of carbon emissions and savings during the EoL phase of MiC buildings. These findings provide valuable insights for contractors in making demolition decisions on how to minimize carbon emissions, thereby pushing the transition toward carbon neutrality within the construction sector

    Preface: CIB World Building Congress 2025

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    The CIB World Building Congress 2025, held at Purdue University and online from May 19–23, 2025, convened global experts to explore the theme “Sustainable Built Environment – The Role of the Construction Community in Meeting the UN SDGs.” The Congress featured 420 peer-reviewed papers presented across 126 sessions and organized by 41 CIB Working Commissions and Task Groups. This preface outlines the significance of the congress, its international scope, and its role in advancing research and practice in the built environment

    First Opinion: A Flicker of Hope: A Story of Migration

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    Second Reaction: Sea Bear: A Journey for Survival

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