Purpose: This paper reviews the state-of-the art research in life cycle assessment (LCA) applied to buildings. It focuses on current research trends, and elaborates on gaps and directions for future research. Methods: A systematic literature review was conducted to identify current research and applications of LCA in buildings. The proposed review methodology includes (i) identifying recent authoritative research publications using established search engines, (ii) screening and retaining relevant publications, and (iii) extracting relevant LCA applications for buildings and analyzing their underpinning research. Subsequently, several research gaps and limitations were identified, which have informed our proposed future research directions. Results and discussions: This paper argues that humans can attenuate and positively control the impact of their buildings on the environment, and as such mitigate the effects of climate change. This can be achieved by a new generation of LCA methods and tools that are model based and continuously learn from real-time data, while informing effective operation and management strategies of buildings and districts. Therefore, the consideration of the time dimension in product system modeling is becoming essential to understand the resulting pollutant emissions and resource consumption. This time dimension is currently missing in life cycle inventory databases. A further combination of life cycle impact assessment (LCIA) models using time-dependent characterization factors can lead to more comprehensive and reliable LCA results. Conclusions and recommendations: This paper promotes the concept of semantic-based dynamic (real-time) LCA, which addresses temporal and spatial variations in the local built and environmental ecosystem, and thus more effectively promotes a “cradle-to-grave-to-reincarnation” environmental sustainability capability. Furthermore, it is critical to leverage digital building resources (e.g., connected objects, semantic models, and artificial intelligence) to deliver accurate and reliable environmental assessments.

The global construction industry is facing pressure to reduce environmental impact by improving energy efficiency amid rising energy demands and growing concerns about climate change. Consequently, sustainable building practices, like the Passive House (PH) design, prioritize minimizing building energy demand. In Saudi Arabia, where cooling loads dominate electricity use, implementing PH could significantly lower energy demand. However, research on PH challenges in the Saudi climate is limited, which highlights the importance of investigating the barriers and potential solutions for PH adoption in this context. This study investigates barriers to PH adoption and proposes context-specific solutions for Saudi Arabia. A mixed-methods approach, including a literature review and structured questionnaires among construction professionals, was used. Thematic analysis and importance–performance analysis (IPA) helped prioritize barriers and identify strategies. By combining evidence from the literature and practitioner surveys, this study uniquely prioritizes PH adoption barriers and proposes tailored solutions for Saudi Arabia’s hot climate. The results showed that the most critical barriers include a lack of supportive building codes, the absence of government incentives, low awareness, contractor resistance, and limited material availability. At the same time, key strategies were identified, such as revising building regulations, offering tax incentives, and adapting PH design with improved shading and HVAC systems. Overall, these findings indicate that removing the identified barriers and implementing the suggested strategies can reduce energy demand and demonstrate the feasibility of PH in Saudi Arabia’s hot climate, thereby supporting the Kingdom’s broader sustainability goals.

Energy consumption in hot–arid and warm climates is driven by cooling demand during long, intense summers. In these contexts, the residential sector accounts for much of national electricity use, and cooling can exceed 70% of annual household consumption. Saudi Arabia exemplifies this pattern, with the residential sector consuming over half of the national electricity and cooling dominating demand in hot–arid cities like Riyadh. Against this background, this study explores the adaptation of the Passive House approach—originally developed in cold and temperate regions—for a cooling-dominated, hot–arid context. A detached villa in Riyadh was selected as a case study, and its energy performance was modeled in DesignBuilder using a baseline calibrated against 12 months of electricity bills. Passive House measures were then tested. The results showed that insulating walls and roofs provided the largest reductions in electricity use, at 21% and 15%, respectively, while high-performance glazing with external shading achieved an additional 3.4%. Improvements in airtightness and ventilation with heat recovery yielded only minor savings in a cooling-dominated climate. When all measures were implemented together, the villa’s annual electricity consumption was reduced by 48% compared with the baseline, and cooling demand was reduced by 72.3%. These findings demonstrate that Passive House measures can be effectively adapted to hot–arid conditions, with envelope insulation and solar-gain control delivering the most significant benefits. The Riyadh case underscores the potential of Passive House principles to reduce residential electricity use in cooling-dominated housing and to support energy-efficient design in hot–arid and warm-climate regions.

The lifespan of site drilling machines is a critical factor influencing construction projects’ cost, efficiency, and safety. While previous research has identified various factors affecting machine longevity, a significant knowledge gap exists in quantifying the relative importance of these factors and their combined impact, particularly across diverse geographical regions like Saudi Arabia and India. This study addresses this gap by providing a comprehensive risk assessment of the lifespan. The research aims to identify and prioritize the most critical factors impacting lifespan and quantify their contributions to lifespan reduction using correspondence analysis (CA) and the matrix assessment method. A systematic literature review identified 30 risk factors: operational factors, environmental conditions, equipment design and quality, maintenance practices, and operator skill and training. A survey of construction professionals in Saudi Arabia and India, alongside a global perspective, provided data on the probability and impact of each factor. CA and matrix assessment methods were employed to analyze the data, revealing regional variations and commonalities. The results demonstrate that “Operator Training” is consistently a high-impact, high-probability risk across all regions. However, the relative importance of other factors, such as soil conditions and overloading, varies significantly between Saudi Arabia and India. This study introduces the integration of CA and the matrix assessment method to offer a systematic, data-driven approach to the problem. The findings provide actionable insights for construction companies, engineers, and project managers, enabling targeted risk mitigation strategies, optimized maintenance planning, and improved operator training programs. Ultimately, this research contributes to more sustainable, efficient, and cost-effective construction practices by extending the operational life of vital drilling equipment.