Over the past two decades, the field of robotics in construction has evolved into an interdisciplinary research domain that combines a multitude of pressing technologies. This work introduces an innovative review framework that assesses the interconnection between robotics in construction and automation, while also examining advancements in technologies. In this research, a novel classification framework was created and a comprehensive literature review was performed to shed light on recent developments in the field of robotic construction. The objectives are to delineate the diverse dimensions of robotics in construction, uncover the underlying themes and sub-themes within these dimensions, identify key research gaps in the current studies, and provide recommendations for future research endeavors. This paper concluded that the existing research focus primarily on technical aspects in robotics within construction, neglecting environmental considerations, while identifying a lack of long-term studies on structural performance, hindering concerns about durability. Additionally, challenges persist in integrating robotics into construction workflows without disruption, compounded by the absence of standardized practices and regulations, alongside concerns about safe human-robot interaction, affordability, and accessibility. Furthermore, inadequate training programs for workers and ethical concerns regarding job displacement, privacy, and societal impacts underscore the need for careful examination in the responsible and ethical deployment of robotics technologies. Finally, research efforts should emphasize the development of user-friendly interfaces and ergonomic designs for construction robots to enhance their usability and acceptance among workers, ultimately contributing to the successful integration of robotics into construction practices.

Construction organizations in developing nations constantly lag in embracing changes in innovation, environmental sustainability, and safety, amongst others. Their contributions to environmental degradation, resulting in health-related consequences for construction stakeholders, are also alarming. Implementing environmental management tools such as environmental management systems (EMS) is often advocated to address the negative environmental impacts of construction organizations. Construction firms in developed nations have embraced EMS and implemented it to enhance construction business, environmental performance, and construction workers’ health, while similar evidence is not recorded in developing nations. Therefore, this study investigated the barriers to EMS implementation through a survey of construction professionals in the Nigerian construction industry. 106 valid data were analyzed using factor analysis, Cronbach’s alpha test, and fuzzy synthetic evaluation (FSE). The results of the factor analysis revealed four groups of barriers to EMS implementation, which are prioritized in the order of knowledge-related, stakeholders-related, process-related, and cultural-related barriers with FSE. The relationships between the four classes of barriers were determined using interpretive structural modelling (ISM) in which “knowledge-related barriers” are indicated as the core barrier to EMS implementation. To address the barriers to EMS implementation, organizing training, providing the needed resources for environmental education, collaborating with construction stakeholders, providing a reward system, and others were recommended. This study contributes theoretically and practically to environmental-related discourses in the construction industry. Theoretically, utilizing FSE provides an interesting insight that acknowledges the unique challenges of developing nations in the domain. Practically, this study gives an actionable focus for construction stakeholders to domesticate EMS within the local construction environment, thereby improving knowledge of the importance of environmental sustainability and pro-environmental behaviors.

This study investigates the integration of Building Information Modeling (BIM) and the Internet of Things (IoT) in construction projects to enhance efficiency, safety, and lifecycle monitoring. Despite the significant potential of BIM and IoT to facilitate the transformation of the construction industry, existing research lacks a comprehensive framework that addresses its interoperability challenges, data security concerns, and real-world implementation barriers. To address this gap, a multiple case study approach was employed, incorporating semi-structured interviews, document analysis, and real-world project evaluations. The results find that standardized protocols, data encryption, and modular IoT devices are essential for effective BIM-IoT adoption across different construction phases. The proposed framework offers a structured approach for construction teams to effectively utilize BIM and IoT, facilitating smarter and more sustainable project management. The contribution of this paper resides in the detailed analysis of the BIM-IoT applications, clearly demonstrating its advantages, such as improving building productivity and safety, and its potential to align with China’s sustainable urban development goals. The study also provides a forward-looking prediction of the future development trend of BIM-IoT in China, offering valuable insights for construction project teams and decision makers. By demonstrating the structured framework and its practical application, this study provides guidance for the industry’s transition to smarter and safer construction practices.

Continuous improvement in industrial processes has made efficient internal material transportation critical. This study presents a decision support system for tracking internal transportation vehicles and providing effective inner logistics management. The proposed model includes a barcoding based transportation vehicle tracking system, a forecasting model for daily transportation demands of different buildings and presents a predictive demand-vehicle assignment mathematical model. Results show that the model reduces the operational costs due to vehicle search and vehicle transportation, and material damage costs due to vehicle-material mismatch at a great extent.

This study investigates the indoor air quality (IAQ) of restaurants in Dubai with a focus on the impact of cooking-related pollutants on the health and comfort of both employees and patrons. Recognizing the release of particulate matter (PM), carbon oxides, and volatile organic compounds (VOCs) during cooking, the study highlights the importance of maintaining healthy IAQ in restaurants. The study includes a detailed case analysis, evaluating current air quality standards, identifying potential pollutants, and assessing their implications. A preliminary assessment, combined with a quantitative inspection of the kitchen and dining areas, set the foundation for a survey conducted among staff and customers. This survey identified key areas of concern and the variables essential for monitoring to maintain IAQ at optimal levels. The study measured parameters such as PM_2.5, PM₁₀, temperature, humidity, interior lighting, CO, and total VOCs using appropriate instruments. Results indicated that cooking activities contribute to elevated levels of particulate matter, suggesting a need for enhanced ventilation or air purification systems to ensure a healthy working environment. While some employees reported discomfort during working hours, customer feedback was largely positive, with around 90% expressing satisfaction with the restaurant’s IAQ. The findings underscore the importance of continuous monitoring and improvement of IAQ in the hospitality industry to safeguard the well-being of both staff and patrons.

Amid growing global attention to occupational health and safety, the construction industry faces critical challenges associated with engineered stone, which emits high concentrations of respirable crystalline silica during processing and has been linked to severe lung diseases. In response, Australia enacted a comprehensive nationwide ban on engineered stone in July 2024. Drawing on media framing theory, this study analyzes public discourse and sentiment surrounding the ban by examining 7,198 comments collected from Reddit and YouTube. Through Latent Dirichlet Allocation, three dominant themes emerged: health risks and safety concerns, economic impacts and industry transition, and regulatory implementation. Sentiment analysis revealed that 55.5% of the comments expressed negative sentiment, mainly centered on economic concerns, while 21.3% were positive, emphasizing health benefits, and 23.1% were neutral. Economic impact frames predominated among negative comments, whereas health risk frames were more common in positive ones. These findings suggest that future policy communications should more effectively integrate narratives around both health protection and economic transition. This study contributes to the methodological development of sentiment analysis and offers practical insights for policy formulation and implementation.

This study investigates the integration of Building Information Modeling (BIM) and the Internet of Things (IoT) in construction projects to enhance efficiency, safety, and lifecycle monitoring. Despite the significant potential of BIM and IoT to facilitate the transformation of the construction industry, existing research lacks a comprehensive framework that addresses its interoperability challenges, data security concerns, and real-world implementation barriers. To address this gap, a multiple case study approach was employed, incorporating semi-structured interviews, document analysis, and real-world project evaluations. The results find that standardized protocols, data encryption, and modular IoT devices are essential for effective BIM-IoT adoption across different construction phases. The proposed framework offers a structured approach for construction teams to effectively utilize BIM and IoT, facilitating smarter and more sustainable project management. The contribution of this paper resides in the detailed analysis of the BIM-IoT applications, clearly demonstrating its advantages, such as improving building productivity and safety, and its potential to align with China’s sustainable urban development goals. The study also provides a forward-looking prediction of the future development trend of BIM-IoT in China, offering valuable insights for construction project teams and decision makers. By demonstrating the structured framework and its practical application, this study provides guidance for the industry’s transition to smarter and safer construction practices.

Construction organizations in developing nations constantly lag in embracing changes in innovation, environmental sustainability, and safety, amongst others. Their contributions to environmental degradation, resulting in health-related consequences for construction stakeholders, are also alarming. Implementing environmental management tools such as environmental management systems (EMS) is often advocated to address the negative environmental impacts of construction organizations. Construction firms in developed nations have embraced EMS and implemented it to enhance construction business, environmental performance, and construction workers’ health, while similar evidence is not recorded in developing nations. Therefore, this study investigated the barriers to EMS implementation through a survey of construction professionals in the Nigerian construction industry. 106 valid data were analyzed using factor analysis, Cronbach’s alpha test, and fuzzy synthetic evaluation (FSE). The results of the factor analysis revealed four groups of barriers to EMS implementation, which are prioritized in the order of knowledge-related, stakeholders-related, process-related, and cultural-related barriers with FSE. The relationships between the four classes of barriers were determined using interpretive structural modelling (ISM) in which “knowledge-related barriers” are indicated as the core barrier to EMS implementation. To address the barriers to EMS implementation, organizing training, providing the needed resources for environmental education, collaborating with construction stakeholders, providing a reward system, and others were recommended. This study contributes theoretically and practically to environmental-related discourses in the construction industry. Theoretically, utilizing FSE provides an interesting insight that acknowledges the unique challenges of developing nations in the domain. Practically, this study gives an actionable focus for construction stakeholders to domesticate EMS within the local construction environment, thereby improving knowledge of the importance of environmental sustainability and pro-environmental behaviors.

Over the past two decades, the field of robotics in construction has evolved into an interdisciplinary research domain that combines a multitude of pressing technologies. This work introduces an innovative review framework that assesses the interconnection between robotics in construction and automation, while also examining advancements in technologies. In this research, a novel classification framework was created and a comprehensive literature review was performed to shed light on recent developments in the field of robotic construction. The objectives are to delineate the diverse dimensions of robotics in construction, uncover the underlying themes and sub-themes within these dimensions, identify key research gaps in the current studies, and provide recommendations for future research endeavors. This paper concluded that the existing research focus primarily on technical aspects in robotics within construction, neglecting environmental considerations, while identifying a lack of long-term studies on structural performance, hindering concerns about durability. Additionally, challenges persist in integrating robotics into construction workflows without disruption, compounded by the absence of standardized practices and regulations, alongside concerns about safe human-robot interaction, affordability, and accessibility. Furthermore, inadequate training programs for workers and ethical concerns regarding job displacement, privacy, and societal impacts underscore the need for careful examination in the responsible and ethical deployment of robotics technologies. Finally, research efforts should emphasize the development of user-friendly interfaces and ergonomic designs for construction robots to enhance their usability and acceptance among workers, ultimately contributing to the successful integration of robotics into construction practices.

This study investigates the indoor air quality (IAQ) of restaurants in Dubai with a focus on the impact of cooking-related pollutants on the health and comfort of both employees and patrons. Recognizing the release of particulate matter (PM), carbon oxides, and volatile organic compounds (VOCs) during cooking, the study highlights the importance of maintaining healthy IAQ in restaurants. The study includes a detailed case analysis, evaluating current air quality standards, identifying potential pollutants, and assessing their implications. A preliminary assessment, combined with a quantitative inspection of the kitchen and dining areas, set the foundation for a survey conducted among staff and customers. This survey identified key areas of concern and the variables essential for monitoring to maintain IAQ at optimal levels. The study measured parameters such as PM_2.5, PM₁₀, temperature, humidity, interior lighting, CO, and total VOCs using appropriate instruments. Results indicated that cooking activities contribute to elevated levels of particulate matter, suggesting a need for enhanced ventilation or air purification systems to ensure a healthy working environment. While some employees reported discomfort during working hours, customer feedback was largely positive, with around 90% expressing satisfaction with the restaurant’s IAQ. The findings underscore the importance of continuous monitoring and improvement of IAQ in the hospitality industry to safeguard the well-being of both staff and patrons.