The wide and in-depth adoption of advanced information technologies within the construction industry has led to its revolution of all aspects; the construction site is not an exception. Recently, the notion of a smart construction site (SCS) has drawn the attention of all stakeholders within the industry. While the practice of SCS could be witnessed in various regions and the notion is mentioned frequently, the concept of SCS is still emerging, a sound framework for SCS development is still absent. As a bottom-up phenomenon, a systematic analysis of critical factors would provide all stakeholders with a comprehensive view of SCS development. In this research, previous research and existing practices of SCS are referred to, which helps to identify 17 critical factors for SCS development from the perspective of management, technology, and organization. The DEMATEL-ISM approach is introduced to conduct the factor analysis, and a questionnaire survey is conducted among 10 experts to investigate their attitudes on these factors. Following the proposed method, the 17 factors are classified into seven hierarchies and further categorized into three layers, i.e., effect layer, operational layer, and input layer, which helps to demonstrate the interrelationship among the critical factors for SCS development. The effect layer consists of the first to the third hierarchy, which contains the factors of cost (F2), safety (F4), schedule (F5), environment (F9), and quality (F3) management; these factors belong to the management perspective and reflect the expectations during SCS development. The operational layer consists of the fourth to the sixth hierarchy, which contains seven factors, namely, processing (F8), information (F10), communication and coordination (F15), personnel (F5), material (F6), equipment (F7), and management regulation (F17); these factors are critical in processing the input resources into the final effect of SCS development. The input layer only consists of the seventh hierarchy, which contains hardware and software facility (F11), integrated platform (F12), data sharing center (F13), smart decision system (F14), and technical team (F16); these factors represent the investment of SCS development. The systematic analysis of critical factors provides new insights on SCS development, which could be adopted as references for future SCS development by all stakeholders like government and construction enterprises.

The Internet-based platform in the construction industry is a carrier for integrated construction information, which positively contributes to the development of smart construction sites (SCS). However, the lack of relevant research results in the ambiguous definition of the construction industry Internet platform. Meanwhile, the current development path of these platforms is also confusing. For this reason, this research first concludes on the main features of Internet-based platforms in the construction industry and puts forward a clear definition. Secondly, a large quantity of literature is overviewed to identify branches of Internet-based platforms as comprehensively as possible. Then, 26 platforms are sorted and classified according to different construction phases. Based on the analytic hierarchy process, an AHP–TOPSIS model, a decision-making method frequently used in the engineering industry, is established with dimensions of technology, demand, policy, and standards. Eventually, the priority of the development of the Internet platform of each segment is sorted, thereby forming the three-stage development path of the construction industry Internet platform, namely Foundation Construction Stage (Platform 1.0), Function Developing Stage (Platform 2.0), Platform Integration Stage (Platform 3.0), and analyzing the characteristics of each development stage. This research opened a clear path for developing Internet-based platforms and providing a basis for formulating development policies for these platforms in the construction industry. With the limitation of an incomprehensive summary of evaluation criteria and platform branches, a better-designed evaluation with more experts in various positions should be conducted in future further research.

As the global climate continues to change, lowering carbon emissions of public buildings (CEPB) is essential for reducing carbon emissions from the construction sector. Exploring the current status of the field is crucial to improving the effort to reduce CEPB. CiteSpace and VOSviewer are used in this research to visualize the literature on CEPB from the Web of Science Core Collection from 2002 to 2022, including an overview, collaborations, and keywords, as well as references. The paper then analyzes and reviews the research processes of CEPB in conjunction with the visualization results and the collation of information from the literature. The results show that the current research hotspots include (1) theoretical research and simulation modeling, (2) energy systems, (3) materials, (4) public building retrofitting, (5) the main factors that contribute to the reduction in CEPB. Architectural features and structures and digital technology are the frontiers of research in the field of CEPB. In general, there is still sufficient space to develop in the field. These findings intuitively encapsulate the valuable information and inherent value of a significant body of literature, which can help researchers quickly understand the field and provide some references.

With the development of the digital economy, the number and scale of data centers are expanding rapidly. Data centers are playing an increasingly important role in social and economic development. However, a short downtime of a data center may result in huge losses. The safety management of data centers’ physical infrastructure is of great significance to address this concern. We applied resilience theory to the safety management of data center physical infrastructures. We analyzed the resilience connotation and evaluated the system resilience using the resilience indexes. The data center infrastructure was regarded as a system of systems. Through theoretical analysis, the resilience framework of data center infrastructures was established, which formed the main dimensions of resilience assessment. The Delphi method determined the resilience indices, and the ANP method was adopted to set up the evaluation model. The results revealed the important indexes affecting data center infrastructure system safety resilience. Based on the findings, this paper argues for improving redundancy and adaptability, paying attention to the resilience management of energy flow and thermal flow, and establishing an automatic systematic data management system. These suggested measures would not only effectively make contributions to the data center infrastructure safety management theory but also provide an important reference for construction industry practices.

Construction Quality Management (CQM), as one of the major activities in construction project management, relies heavily on knowledge. Unfortunately, the knowledge of CQM is diverse in format and scattered in different stakeholders within the whole construction processes. Therefore, Knowledge Management (KM) of CQM is under-investigated. To offering a comprehensive view of KM in CQM, this paper employed a mixed review method to critically review 87 related articles. The results indicate: (1) building information modeling, ontology, and natural language processing are identified as critical technologies in KM, (2) expert system and decision support, structural health monitoring, and project management are the major application domains. This paper conducts an in-depth analysis of the literature based on the three phases of quality control: pre-construction, in-construction, and post-construction. The results are discussed to critically assess the critical technologies in KM. A framework is proposed to guide the effective implementation of KM in CQM, alongside a discussion of the current challenges and opportunities. The paper further identifies potential development directions for KM in CQM, including total quality management, digital twins, development of large language models, construction of “No-cost” KM platforms, uniform evaluation and standardization mechanisms, tacit knowledge capture, and confidentiality and security. A novel paradigm for knowledge-driven quality management decision-making is firstly introduced. This paper offers a comprehensive perspective on the application of KM in CQM, which will significantly enhance the effectiveness of CQM implementation in the future.

DfS (design for safety) can significantly reduce the engineering safety risk, decreasing the economic and social losses caused by safety accidents. To introduce DfS in China’s subway engineering, and with the help of a literature review and semi-structured expert interview, this study sorted out 28 promoting factors (including policy environment, practice, guidelines and tools, and education four categories) and seven impediment factors to DfS implementation. Through 80 questionnaire surveys of staff from universities, research institutes, and subway development, design, construction, and operation companies, this study screened out 26 promoting factors and seven impediment factors to assess the relationship between the two types of factors. The research provides a reference for DfS implementation in countries that have not implemented DfS before, such as China.