6D building information modeling (6D BIM) has been proposed as a sustainability dimension in BIM technology. It serves as a life-cycle sustainability assessment tool and an important method for decision makers and designers to make informed decisions in sustainable design and facility management. However, there is currently a lack of comprehensive evaluation of the key influencing factors of 6D BIM in residential Building-Integrated Photovoltaic (BIPV) systems. Previous studies have typically examined BIPV performance or BIM-based sustainability workflows in isolation, lacking a comprehensive analysis of how 6D BIM enhances BIPV sustainability throughout the building lifecycle. This study aims to identify the core influencing factors of 6D BIM in BIPV systems and analyze their impact on sustainability performance indicators. To this end, this study used a systematic literature review method to retrieve research literature related to 6D BIM and BIPV from the past decade (2014-2024) from Scopus and Web of Science databases and applied the PRISMA method to screen and analyze 111 highly relevant literature. The results show that the keywords of BIPV-related research have been continuously updated in the past decade, showing the rapid development of 6D BIM in the field of sustainable buildings and its potential in building energy management. Based on the sustainability of BIPV, the study identified five key factors that affect the application of BIPV in sustainable systems: economic and cost factors, policy and social factors, geographical and meteorological factors, design and performance factors, and operation and maintenance factors. In addition, according to the sustainable performance of BIPV, 6D BIM is used as an enhancement factor to improve the sustainability of BIPV. The results of this study provide new insights into the application of 6D BIM in the field of BIPV and provide a scientific basis for stakeholders to develop more efficient implementation strategies.

Digital twin (DT) technology is recognized for its transformative potential to enhance efficiency in the construction process. However, the full potential of DT in construction practices remains largely unrealised. Moreover, few studies explore how DT success factors affect efficiency improvement (EI), energy optimization (EO), and cost control (CC) in the context of economic strength (ES). The study applied a hybrid research method to examine the impact of key DT success factors on EI, EO, and CC under the moderation of ES. After a critical literature review, five key DT success factors were identified. Then, 490 valid questionnaires were analyzed with the Partial Least Squares Structural Equation Model (PLS-SEM) to assess how success factors affect DT effectiveness. This is complemented using extreme gradient boosting (XGBoost) to assess prediction accuracy and understand which factors most influenced EI, EO, and CC. Research shows that ES exerts a significant positive influence on the relationships between most success factors and performance outcomes. High levels of ES enhance the contribution of success factors to performance in EI, EO, and CC. Resource management (RM) has a strong influence on EI and EO, but a weaker influence on CC; process optimization (PO) has the strongest influence on EO, a moderate influence on CC, and the weakest influence on EI; real-time monitoring (R-Tm) primarily affects EI; sustainable design (SD) has a comprehensive and significant regulatory effect on EI, EO, and CC; and predictive maintenance (PM) has a strong influence on both EI and CC. In practice, it offers practical guidance for implementing DT and supports policy and resource planning for building stakeholders.

With the rapid development of China's property industry, residential construction projects face significant schedule delays due to inadequate progress management. It makes it difficult for enterprises to realize the return of funds on time, causing economic losses and reputational damage which brings serious economic losses and loss of corporate reputation. This study aims to identify and prioritize delay factors and propose effective control measures. Qualitative research methods, including semi-structured interviews, are used to collect data from the Yun Yue Dong Fang residential project in China, a case study, and analyze the influencing factors of project schedule management. Like construction, design, materials, finance, communication, non-human elements, planning, and supervision. Results show construction factors (particularly execution efficiency, funding timeliness, and resource allocation) dominate, as evidenced by their highest word frequency in interview coding. Followed by client factors, while the factors related to the design teams, as well as the factors related to the raw material and equipment suppliers have less impact. The study proposes strengthening control through integrated management systems and real-time monitoring, validated by the case study, to mitigate delays. The results of the study provide actionable insights for optimizing schedule management in residential projects as well as the project schedule management of residential development enterprises and enhancing enterprise performance.