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With increasing employment of ethnic minority (EM) workers from different nationalities to mitigate the growing demand for a construction workforce, the safety and health problems of these workers have become a significant concern. The purpose of this paper is to identify and rank according to severity the safety and health-related problems confronted by EM construction workers.

Grounded theory approach was employed to construct the main categories and subcategories of the construction safety and health problems of EM workers. A two-round Delphi survey of 18 experts, who are highly experienced in managing EM workers, was conducted to rank the relative severity of the identified safety and health problems.

A total of 14 subcategories and 4 categories of construction safety and health problems of EM workers were identified. Among the 14 subcategories, the most urgent and serious ones were insufficient safety materials and training in their native language, insufficient safety staff from EM origin, and safety communication barriers. In addition, safety and health problems at the corporate and governmental levels are also worth paying attention.

This study contributes to the update on the existing body of knowledge on safety and health problems encountered by EM construction workers and revelation of their peculiar situation in Hong Kong. Findings of the study will be of value to various stakeholders in formulating safety and health measures for EM construction workers.

This paper aims to analyze the current state of technological advancements research in addressing the diverse risk factors involved in earthmoving equipment operations through Rasmussen's (1997) risk management framework. It examines how existing technologies research capture, manage and disseminate risk information across various levels of safety management by defining their core functionalities. The research highlights gaps in current technological solutions research regarding the flow of information in the risk management framework. It emphasizes the need for an integrated approach in technological advancements to enhance the holistic safety management approach capable of capturing various risks across different levels of risk management.

This research employs a multistep approach. Initially, earthmoving equipment risk factors and functionalities of technological solutions were identified through a systematic review of current scholarly works. Subsequently, social network analysis (SNA) and Pareto analysis were applied to evaluate and determine the importance of risk factors and functionalities of technologies for improving them.

The findings highlight the importance of multilevel approaches that expand technological functionalities to address risk factors across all levels of Rasmussen's (1997) risk management framework. The current combination of technological advancements focuses primarily on on-site monitoring, congested work sites, site layout/path planning, utility problems, safety training, and blind spot and visibility. Site monitoring and warning systems, supported by sensors and computer vision (CV), are pivotal for identifying risks and enabling data-driven safety management. However, workforce-level cognitive factors (W1-W6), which influence safety behavior, remain underexplored for enhancing their functionality to anticipation and response during the operation. Prevention is the core function of current technological solutions, emphasizing the need to address human and equipment risk factors such as sources of hazards in earthmoving operations. Learning: AI as a data-driven approach and IoT systems are key for future development, and when grounded in ontology-based knowledge of earthwork, they gain a structured vision of earthmoving equipment types, their interactions and the earthwork activities. It enhances the capabilities of these technologies to capture and manage complex interactions between hazard sources (human and equipment), supporting comprehensive risk factors across all levels of the risk management framework.

This paper elucidates that technological solutions for safety management in earthmoving equipment operations require a more holistic approach—grounded in an understanding of functionalities of technologies—to effectively capture risks across various levels of Rasmussen (1997) risk management. It emphasizes that technological solutions should not only address isolated hazards but also ensure the continuous flow of information on multiple risk factors across the risk management framework.

Building circulation has an important impact on human comfort of buildings and is one of the critical factors in building design. A quantitative walkability evaluation of building circulation can benefit both building design and operation. However, indoor walkability of building circulation is determined not only by objective path features but also by subjective user preference. How to incorporate the preference from a large group of users into the design process is still a challenging issue.

This study proposes a participatory framework of indoor path walkability evaluation based on user preference. Hierarchical indicators are developed to objectively measure indoor path features. Furthermore, group decision-making theory is adopted to aggregate individual user preference into user common preference for determining the relative indicator weights. Finally, integrated walkability scores (IWSs) are calculated to evaluate indoor path walkability quantitatively.

A total of three case scenarios demonstrate that the proposed evaluation framework provides an efficient way for designers and owners to measure user preference quantitatively, analyze building circulations based on user preference and compare the walkability of different building design schemes.

The developed methods provide an efficient way for designers and owners to measure user preference quantitatively, analyze building circulations based on user preference and compare the walkability of different building design schemes.

This study develops a comprehensive and quantitative walkability evaluation approach that considers both objective path features and subjective user preference derived from user characteristics and walking purposes, which provides an effective way to incorporate user feedback into the building design process and operation.

This paper aims to investigate the mechanisms for transforming construction professionals’ intentions into use of social media (SM) for knowledge sharing (KS). The objectives are to: identify the common types of SM platforms used by the construction professionals for KS; identify the key problems influencing transformation of the construction professionals’ intentions into use of SM for KS; identify the factors mitigating the problems; and provide recommendations for enhancing construction professionals’ use of SM for KS.

The data was collected through semi-structured interviews with Australian construction professionals and analysed using grounded theory (GT). The outcomes of the analyses formed a framework for the enhancement of SM use for KS.

The findings show that private SM followed by enterprise SM are more appealing to the construction professionals for KS compared to public SM; and uncertainties about users’ privacy/confidentiality and the quality of the shared knowledge adversely affect the transformation of the construction professionals’ intentions into use of SM for KS. Three types of trust are identified as the mitigators of the identified problems. A framework is proffered to enhance SM use for KS by construction professionals.

This paper contributes to the construction literature by developing a GT to explain the factors which impact the transformation of the construction professionals’ intentions into use of SM for KS. Additionally, the practical contribution of this study is the provision of framework constituting recommendations for the enhancement of SM use for KS.

Adoption of building information modelling (BIM) in facilities management (FM) provides an information platform to store and exchange asset data. Quantity Surveyors, with cost management expertise, are increasingly involved in FM roles in the operation phase. However, no study has been conducted on how BIM may assist Quantity Surveyors when contracted in FM roles. This study aims to identify the potential benefits and challenges of using BIM by Quantity Surveyors in FM roles.

Interviews were conducted with eight professionals from an international built and natural asset design and management company and its FM business partner in Australia.

Lack of complete and accurate data was the main issue faced by Quantity Surveyors in FM. The benefits of BIM in FM were digitizing and storing asset information and developing a cost database that would be useful for Quantity Surveyors, whereas challenges included keeping model data up to date, cost, industry resistance to change and contractors' lack of model use.

This study contributes to revealing the niche adoption of BIM by Quantity Surveyors in FM and identifying the issues faced by Quantity Surveyors in FM roles using BIM. It contributes to the knowledge of BIM adoption in post-construction. Findings will be useful to develop strategies for adopting BIM in FM and supporting Quantity Surveyors' roles in FM.

Previous studies have highlighted that communication barrier was one of the major safety problems faced by ethnic minority (EM) workers. This study aims to model the predominant safety communication networks of EM crews and explore the relationships among safety communication networks, individual attributes, safety climate, near misses and injuries of EM crews.

Case studies were conducted with EM crews in the Hong Kong construction industry. Demographic attribute, network, safety climate and accidents data were collected through questionnaires and analyzed by a combination of social network analysis (SNA), cross-case comparison and nonparametric tests.

The results revealed that language proficiency, network density and level of reciprocity were contributing factors of distinguishing high and low safety performing EM crews. EM management received more safety information from EM workers than local management. The centrality of EM workers was significantly related to their age, the perceived priority of safety and language ability.

The research findings regarding the impact of safety communication network characteristics on the safety performance of EM crews provides insights to employers on how to cultivate effective safety communication patterns within EM crews that can lead to better safety performance. The connections between personal attributes and their positions in safety communication networks could help the employers identify the EM workers who are positioned on edges of networks and need more attention.

This study contributes to knowledge by enriching the limited research on analyzing safety communication of small construction crews using SNA and expanding the research object to EM construction crews in the literature, who are more vulnerable to construction accidents. This research also extends the existing body of knowledge from studies mainly carried out in Western culture to Eastern culture. Although safety communication has been regarded as important for EM workers, there is a lack of quantitative analysis on this at a crew level. The present study provides empirical research to reveal authentic safety communication networks and their connections with safety performance and personal attributes.

Bayesian approaches have been widely applied in construction management (CM) research due to their capacity to deal with uncertain and complicated problems. However, to date, there has been no systematic review of applications of Bayesian approaches in existing CM studies. This paper systematically reviews applications of Bayesian approaches in CM research and provides insights into potential benefits of this technique for driving innovation and productivity in the construction industry.

A total of 148 articles were retrieved for systematic review through two literature selection rounds.

Bayesian approaches have been widely applied to safety management and risk management. The Bayesian network (BN) was the most frequently employed Bayesian method. Elicitation from expert knowledge and case studies were the primary methods for BN development and validation, respectively. Prediction was the most popular type of reasoning with BNs. Research limitations in existing studies mainly related to not fully realizing the potential of Bayesian approaches in CM functional areas, over-reliance on expert knowledge for BN model development and lacking guides on BN model validation, together with pertinent recommendations for future research.

This systematic review contributes to providing a comprehensive understanding of the application of Bayesian approaches in CM research and highlights implications for future research and practice.

The demanding nature of the construction industry poses strain that affects the health of construction personnel. Research shows that mental ill health in this industry is increasing. However, a review mapping the field to determine the extant of research is lacking. Thus, the purpose of this paper is to conduct a scientometric review of mental health (MH) research in the construction industry.

A total of 145 bibliographic records retrieved from Web of Science and Scopus database were analyzed using CiteSpace, to visualize MH research outputs in the industry.

Top co-cited authors are Helen Lingard, Mei-yung Leung, Paul Bowen, Julitta S. Boschman, Peter E.D. Love, Martin Loosemore and Linda Goldenhar. Previous studies focused on healthy eating, work efficiency, occupational stress and workplace injury. Emerging research areas are centered around physiological health monitoring, work ability, and smart interventions to prevent and manage poor MH.

Result is influenced by the citations in retrieved articles.

The study found that researchers in the construction industry have intensified efforts to leverage information technology in improving the health, well-being, and safety of construction personnel. Future research should focus on developing workplace interventions that incorporate organizational justice and flexible work systems. There is also a need to develop psychological self-reporting scales specific to the industry.

This study enhances the understanding of researchers on existing collaboration networks and future research directions. It provides information on foundational documents and authors whose works should be consulted when researching into this field.

Mental health problems are a grave concern in construction. Although the distinction between high job demands and low job resources, as reflected in the Job Demands-Resources (JD–R) model, has been used to examine the extent to which psychosocial hazards influence mental health for construction practitioners, limited research has reflected on the nature of these psychosocial hazards by exploring experiences of site-based construction practitioners.

This study adopted a phenomenological approach to examine people’ experiences and thoughts of the complex phenomena of psychosocial hazards and mental health in construction. In total, 33 semi-structured interviews were undertaken with site-based construction practitioners in Australia to unveil construction-focused psychosocial hazards and their effects on mental health. The data were analysed via content analysis, employing an interpretation-focused coding strategy to code text and an individual-based sorting strategy to cluster codes.

Eighteen psychosocial hazards were identified based on the JD–R model. Six of these represented a new contribution, describing salient characteristics inherent to the construction context (i.e. safety concerns, exposure to traumatic events, job insecurity, task interdependency, client demand and contract pressure). Of particular importance, a number of interrelationships among psychosocial hazards emerged.

The significance of this qualitative research lies in elucidating psychosocial hazards and their complex interrelatedness in the context of the mental health of construction practitioners, enriching the understanding of this central health and safety issue in the high-risk setting of construction work. The findings contribute to addressing mental health issues in the Australian construction industry by identifying higher order control measures, thereby creating a mentally healthy workplace.

Malaysia’s industrialised building system (IBS) has been increasingly adopted for sustainable development by the country’s construction industry. However, although it has been used for commercial building projects, its application to sustainable infrastructure development has been limited to date. This study aims to examine the drivers and challenges involved.

A preliminary conceptual framework was initially developed based on a systematic literature review. Semi-structured interviews involving 20 participants were undertaken to gain insightful thoughts from the construction practitioners to discover the perception towards IBS application in the construction industry, the applicability of IBS, particularly in infrastructure projects, the strategies of IBS delivery and the sustainable potential of its application. A two-round Delphi study was conducted with 15 experienced and knowledgeable panellists to further identify, verify and prioritise factors developed from the literature review and interview findings. Then, the results were synthesised and triangulated to demonstrate a holistic insight.

The results show the main drivers to be better productivity, quality, environmental, safety and health, constructability design and cost, policy and requirements, with the main challenges being project planning and cost-related issues, inexperience and industry capacity.

The study’s main contribution is in systematically determining the practical implications involved in applying the IBS to sustainable infrastructure developments in Malaysia and other similar developing countries.