With the maturity and development of digital and intelligent technologies, the traditional construction industry is undergoing changes. However, most construction enterprises in China still lack comprehensive understanding of intelligent construction technologies (Minoli et al. IEEE Internet Things J 4:269–283, Minoli et al., IEEE Internet Things J 4:269–283, 2017). Therefore, research on the application and promotion of ICT is needed. This study aims to identify the factors hindering expressway construction enterprises from adopting ICT. Expert interviews and scoring were used to collect data from 32 experts. The TOSE framework identified fourteen influencing factors. The Fuzzy-DEMATEL-ISM method analyzed the expert scoring results. The results determined that the fourteen hypotheses were established, and the factors had hindering effects on enterprises adopting ICT. This study enhances research rigor by using empirical methods. The TOSE framework allows comprehensive identification of factors. And this study focuses on expressway construction enterprises, an under-researched area.

There is a consistent lack of consensus on critical elements in the study of construction governance. To advance the practice and theoretical development of project governance, this paper aims to construct a scale for the governance capabilities of participants in construction projects. By employing agency theory, stakeholder theory, resource dependence theory, and transaction cost economics, this study examines the governance capabilities of participants in construction projects and conceptualizes a comprehensive framework for governance capabilities. Based on post-positivism, the triangulation method was used to collect data, and the Governance Capability Scale was developed through a pre-survey and formal research. The research findings identify governance capabilities across eight dimensions and 47 measurement items, encompassing business, finance, human resources, learning and innovation, marketing, organizational management, project management, and procurement. The scale has satisfactory applicability. Among these constructs, only organizational management is negatively correlated with the other constructs. The findings significantly clarify capability constructs in construction governance, aiding project managers in achieving refined management during construction. Essentially, this study advances the knowledge base of project governance. This contribution not only supports the theoretical development of governance practices but also promotes high-quality development in the construction industry.

Green construction is considered to be a construction model that pursues high resource efficiency and the utilization of reduced environmental impacts through technological innovation and management optimization under the realization of the project’s iron triangle. The realization of its performance relies on the level of stakeholder capability configuration. To reveal the optimal capability configuration and interaction between regulators and executors, this study constructed a utility model based on a post-positivist methodology. By analyzing the optimal capability configuration and coordination levels of regulators and executors according to the practices and constraints of green construction, this study conducted a static analysis to compare the effects of marginal value on regulators’ capability input and coordination coefficients. Finally, a sensitivity analysis uncovers the changes in capability configuration interaction and coordination coefficients at different stages of green construction. The results indicate that high levels of coordination in green construction cannot be maintained in the long term; continuous capability input from regulators is required for sustained support. Only by eliminating external uncertainties, reducing the variable costs for executors in advancing green construction, and controlling their risk aversion can executors be truly motivated to promote green construction. The capability configuration of both regulators and executors adjusts with corresponding marginal values. The capability configuration of executors shows a trend of initially increasing and then decreasing as the progressive coefficient rises. The model proposed in this study ensures that the final coordination level stabilizes at a relatively high level, which is between 0.6 and 0.7. In summary, the breakthrough findings provide critical insights into green construction management, contributing to the achievement of the anticipated green construction objectives.

The generation of a substantial amount of construction waste (CW) poses significant challenges to the green transition of highway construction projects. However, the construction industry lacks integration of construction waste management (CWM) practices into the construction process. This paper aims to develop a calculation for assessing the performance of CWM to monitor its effectiveness in highway construction. Initially, this study utilizes the Site waste management plan (SWMP) as a foundation and develops a Construction Waste Management Performed Assessment Method (CWMPAM). The extension of CWM is incorporated into earned value management (EVM) to manage costs, schedules, and the performance of CWM within a unified framework. The functionality and sensitivity of CWMPAM and CWM-embedded EVM are validated through pilot testing and scenario analysis. The research results are computerized into a calculator to facilitate the practical application of CWM, and its validity is tested using random cases. CWMPAM and CWM-embedded EVM prove satisfactory in assessing and monitoring the execution and performance of CWM. The developed calculator simplifies the practical application of the outcomes. Essentially, the developed calculator represents a groundbreaking integration of CWM and construction management, enabling project managers to monitor and compare the CWM performance across different segments of highway construction. Not only does this contribute to the green transformation of highway projects, it also promotes high quality and sustainable development in the construction industry.

Providing accurate prediction of the severity of traffic collisions is vital to improve the efficiency of emergencies and reduce casualties, accordingly improving traffic safety and reducing traffic congestion. However, the issue of both the predictive accuracy of the model and the interpretability of predicted outcomes has remained a persistent challenge. We propose a Random Forest optimized by a Meta-heuristic algorithm prediction framework that integrates the spatiotemporal characteristics of crashes. Through predictive analysis of motor vehicle traffic crash data on interstate highways within the United States in 2020, we compared the accuracy of various ensemble models and single-classification prediction models. The results show that the Random Forest (RF) model optimized by the Crown Porcupine Optimizer (CPO) has the best prediction results, and the accuracy, recall, f1 score, and precision can reach more than 90 %. We found that factors such as Temperature and Weather are closely related to vehicle traffic crashes. Closely related indicators were analyzed interpretatively using a geographic information system (GIS) based on the characteristic importance ranking of the results. The framework enables more accurate prediction of motor vehicle traffic crashes and discovers the important factors leading to motor vehicle traffic crashes with an explanation. The study proposes that in some areas consideration should be given to adding measures such as nighttime lighting devices and nighttime fatigue driving alert devices to ensure safe driving. It offers references for policymakers to address traffic management and urban development issues.

Due to the industrialization of the construction sector, enterprises that manufacture prefabricated components are developing rapidly. Because the production capacity of each enterprise varies immensely, the upstream enterprises are unable to match the component manufacturing enterprises that are suitable for the supply target. With respect to the product capacity, scientific and accurate evaluations are crucial. The authors preliminarily determined factors that impact the production capacity of components and considered a literature review and the inspection results of component manufacturing enterprises. By performing a thorough investigation and analysis, they constructed the index system for evaluating the production capacity of enterprises that manufacture prefabricated components, and each index was interpreted. To determine the weight of the evaluation index, an analytic hierarchy process was utilized; furthermore, the characteristics of each grade were described, and a fuzzy comprehensive evaluation model was built. Moreover, to empirically analyze the built model, the authors selected a construction company and analyzed 127 questionnaires filled in by employees at all the organizational levels related to PCT production and to 34 evaluation results of experts from standard quota research institutions in various provinces. The results of the two methods revealed the following: This enterprise level is the "Reinforcement level" (level 3). The evaluation results are consistent with the empirical results of the model established herein, which verifies its feasibility.

Multiple policies have been formulated to promote the development of prefabricated building (PB). However, ineffective policies increase the financial burden of the governments and hinder PB development. This study aims to identify effective policies and develop a practical policy framework to encourage developers to implement PB. Text analysis is to identify the policies related to PBs from the numerous samples. A survey is to verify the effective policies and explore their effects on the developers’ willingness to implement PBs. The findings suggest that the current policy system of PBs is complete but uneven, focusing on environmental policies. The most cost-effective tools are land limitations, tax incentives, and financial support. Besides, policies are interrelated in affecting developers’ willingness to implement PBs. It provides a reference for policy evaluation in application scenarios, which expands the literature research on the policy. Meanwhile, it provides a guide for policymakers to evaluate the effectiveness of policies and formulate practical policy frameworks to promote PB development.

This study aims to investigate the factors that influence the willingness of highway construction enterprises in China to adopt intelligent construction technology. Based on the existing literature, a TOSE framework was proposed, and four dimensions and 15 hypothesized influencing factors were identified through expert interviews. By using a combination of PLS-SEM and ANN, 513 survey data were analyzed to determine the linear and non-linear relationships of the influencing factors on the willingness to adopt. The results showed that all 14 hypothesized factors had varying degrees of positive or negative effects on the willingness to adopt, except for organizational culture, which was found to have no significant impact. Specifically, technology cost was found to be the most influential negative factor, while market demand and organizational structure were the most influential positive factors. The findings of this study have important reference value for decision makers and participants in highway construction enterprises, as well as other construction companies when considering the adoption of smart construction technologies. The originality of this research lies in the novel application of the TOSE framework to investigate smart construction technology adoption, and the combined use of PLS-SEM and ANN to examine both linear and nonlinear relationships between variables for the first time.

In this study, we aimed to identify the influencing factors that drive highway construction companies to adopt smart construction technologies. Using expert interviews and expert scoring, we collected interview data from 25 experts in the field and we proposed the TOSE framework based on the TOE framework, identifying four dimensions and fourteen influencing factors. We analyzed the results using the Fuzzy DEMATEL-ISM method, and we then summarized the findings according to the evaluation criteria to determine the validity of the fourteen hypotheses and the extent to which they drive highway construction companies to adopt smart construction technologies. The findings of this paper are of high value to decision makers and participants in highway construction companies, as well as to other companies in the construction industry, in their decision to adopt smart construction technologies.

交通基础设施(transportation infrastructure,TI)网络极易因产生级联故障而导致瘫痪.然而,系统性地研究TI中级联故障似乎一直被忽略.为弥补这一领域的空白,全面审查了孤立、多层和空间TI网络中级联故障的传播机制、分析方法和预防策略.最后提出级联故障分析和预防的主流模型,并表明未来的研究中应该关注接受复杂性和依赖性、在安全性和韧性之间建立联系、对故障采用所有危险的方法、避免创建新的漏洞以及在部门之间转移知识等方面.研究成果有助于促进本领域的发展以及项目管理团队在早期阶段揭示和解决TI网络中的级联故障.

Informal learning plays a major role in how knowledge, experience, and skills in off-site construction penetrate on-site and off-site processes. Although prior research has indicated that informal learning relies heavily on team members' embeddedness in advice networks, how and when advice network embeddedness affects the effectiveness of informal learning remain largely unexplored. Drawing on the opportunity-motivation-ability framework, a theoretical model was developed to examine the link between intra- and interteam advice network embeddedness (bonding and bridging) and team members' informal learning effectiveness in off-site construction projects settings, as well as the joint moderating effect of knowledge acquisition motivation and absorptive capacity. The data analysis was based on survey responses from 263 individuals from 14 teams in 5 off-site construction projects using a mixed approach of social network analysis and hierarchical regression analysis. The results indicate that both bonding and bridging are positively related to team members' informal learning effectiveness in acquiring off-site construction knowledge. This main effect is positively moderated by controlled motivation and absorptive capacity. The interaction between bonding and bridging is found to positively affect the effectiveness of informal learning. However, autonomous motivation did not significantly moderate the relationship between bridging and informal learning effectiveness. The three-way interaction model effectively explains the effectiveness of informal learning. Knowledge acquisition motivation and absorptive capacity play substitutable and complementary roles in moderating the main effect of bonding and bridging, respectively. This study underlines the need for interteam and interdisciplinary knowledge interaction and improved absorptive capacity if off-site construction knowledge acquisition is to increase, dynamics which may not be as significant in construction using mature technologies. This study enriches the body of knowledge of informal learning effectiveness in project teams from a network embeddedness lens, thereby providing managerial implications for improving team members' knowledge, experience, and skills to adapt to the modern method of construction.

In the research, decision-making capabilities are explored in relation to the prediction of evacuation efficiency to improve forecast accuracy on metro platforms. For this purpose, this study reviewed theories related to evacuation behaviours utilising the anomaly-seeking approach and the paradigm of relationship development. The conceptual framework of decision-making capability and evacuation behaviours was explored based on risk perception, level of emergency knowledge, survivability and emotion, and their relationship with the partial least squares equation was constructed. A predictive model of evacuation efficiency and its differential equations incorporating this relationship were also proposed based on the epidemic model. By developing and testing the conceptual framework and model, theoretical support is provided for evacuation behaviour, while assisting emergency management in developing plans and measures to respond to emergencies on metro platforms. This study realises the possibility of predicting evacuation efficiency from a decision-making capability perspective.

Existing studies have highlighted the importance of informal safety communication among workers at construction sites. However, there is still a lack of empirically tested theoretical models with valid and reliable scales for describing and measuring construction workers’ informal safety communication (CWISC). Accordingly, this study aimed to fill this need by developing an instrument to assess the communication performance of construction workers. Four stages of scale development were described: construct formation, item generation, factor extraction through the exploratory factor analysis (EFA) (n = 219), and scale assessment through the confirmatory factor analysis (CFA) (n = 156). Using questionnaire data drawn from construction workers in China, the CWISC was verified to be a three-dimensional construct including citizenship safety communication (CSC), self-needed safety communication (SSC), and participatory safety communication (PSC). The corresponding CWISC scale with 12 items was shown to have acceptable internal consistency reliability, as well as content, convergent, and discriminant validity. The CWISC scale could serve as an instrument to assess and identify the weaknesses in informal safety communication performance of construction workers. In turn, this information could help supervisors implement appropriate management practices to those workers to enhance workplace informal safety communication. Related studies taking a multidimensional CWISC into account were expected to be carried out.

Issues related to effective knowledge sharing and diffusion are pressing and have emerged in the field of offsite construction. Significant research on project-based organization knowledge management was conducted from a social network perspective, but little is known about the micromechanism underlying knowledge exchange networks. This study aims to understand social formation mechanisms in knowledge exchange networks and map patterns of intrateam knowledge exchange with a focus on the sender-receiver dyadic perspective in offsite construction projects. Based on social cognitive theory, a theoretical model is proposed that focuses on how individual cognitive and social context factors influence knowledge exchange connections. An exponential random graph model was used to explore these dynamics in two offsite construction projects in China. The study found that structural patterns of transitivity and decentralization emerge in intrateam knowledge exchange networks. The cognitive factor of knowledge self-efficacy was found to show a preferential attachment trend and was positively related to knowledge sending. Additionally, maintaining strong informal relationships and increasing task dependence among team members were found to facilitate building knowledge exchange connections. These findings provide practical project management insights into ways of promoting offsite construction knowledge diffusion in project team settings.

This study aimed to identify the influencing factors that drive the adoption of smart construction technologies by highway construction companies. Using expert interviews and expert scoring, interview data were collected from 25 experts in the field, and the TOSE framework was proposed based on the TOE framework, identifying four dimensions and fourteen influencing factors. The results were analyzed using the Fuzzy-DEMATEL-ISM method, and the findings were then summarized according to the evaluation criteria to determine the validity of the fourteen hypotheses and the extent to which they drive the adoption of intelligent construction technologies by motorway construction companies. The findings of this paper will be of great value to decision-makers and participants in highway construction companies, as well as to other companies in the construction industry, in their decision to adopt smart construction technologies.

Typhoons have caused considerable damage to individual tree and forest ecosystems. To reduce wind-induced tree damage and better predict the risk of damage, improving our understanding of wind-tree interactions during strong wind conditions is important. To this purpose, wind characteristics and movements of an individual Betula platyphylla Suk. in a forest stand were monitored during three typhoons (Bavi, Maysak and Haishen). Results revealed that the average wind twists with increasing height, with a large twist gradient within the canopy and a small twist gradient outside the canopy. The maximum wind twist angle was approximately 110°. The disturbance of trees increases the turbulence intensity of the wind field in the canopy. The maximum power of the wind spectra and the turbulence anisotropy of the three turbulence components decrease with increasing height. B. platyphylla did not resonate with the wind in any of the typhoons but responded strongly to gusts near its free vibration peak frequencies. The peak frequency of the mechanical transfer function of B. platyphylla is essentially the same as the peak frequency of the response power spectra. The mechanical transfer function of the wind-induced response of the tree is almost the same as the transfer function of the damped harmonic oscillator which has similar characteristics to coniferous trees.

With the rapid development of economy, science, and technology, China’s construction industry has entered a new period of development. At the same time, the prefabricated concrete structure (PC) building is still in its early development stage, construction quality standards and safety standards imperfect problems, seriously restricts the development of the PC building. In view of the above problems, first of all, the development history and current situation of China’s building construction quality and safety standards, as well as the framework of building construction quality and safety standard systems are analyzed. Secondly, based on the existing literature research, the applicability of it to prefabricated concrete structures is analyzed. Thirdly, the assessment system of construction quality and safety standards for the suitability of PC building is established, and the assessment analysis is carried out by means of entropy weight and TOPSIS method. Finally, on the basis of the above, this paper makes an empirical analysis of the current building construction quality and safety standards, draws the conclusion of applicability assessment, and puts forward suggestions for the improvement of the standards according to the conclusion.