As a sustainable construction method, prefabrication has become popular in many nations. However, there are many challenges for prefabrication, especially in terms of cost. Previous studies have revealed that higher capital cost was the most important barrier to the implementation of prefabrication. Thus, the objective of this study is to explore and evaluate the critical factors affecting the capital cost of prefabrication and examine how cost management may be affected by the “experience”, “corporate responsibility”, and “participant function” as a fix independent factors. To achieve the research objective, semi-structured interviews were conducted with 11 experts for the development of the questionnaire. Then, a questionnaire survey was conducted to investigate the significance of 49 factors related to prefabrication capital cost. The survey results revealed that “Specification and standards for prefabricated building design”, “Related experience of manager”, and “Rationality of precast component split” were the most critical factors. In addition, “experience”, “corporate responsibility”, and “participant function” had significant impact on the evaluation of capital cost factors. The findings can facilitate developing a benchmark framework for exploring the factors affecting the capital cost of prefabrication in China.

High capital cost is a significant hindrance to the promotion of prefabrication. In order to optimize cost management and reduce capital cost, this study aims to explore the latent factors and factor analysis evaluation model. Semi-structured interviews were conducted to explore potential variables and then questionnaire survey was employed to collect professionals’ views on their effects. After data collection, exploratory factor analysis was adopted to explore the latent factors. Seven latent factors were identified, including “Management Index”, “Construction Dissipation Index”, “Productivity Index”, “Design Efficiency Index”, “Transport Dissipation Index”, “Material increment Index” and “Depreciation amortization Index”. With these latent factors, a factor analysis evaluation model (FAEM), divided into factor analysis model (FAM) and comprehensive evaluation model (CEM), was established. The FAM was used to explore the effect of observed variables on the high capital cost of prefabrication, while the CEM was used to evaluate comprehensive cost management level on prefabrication projects. Case studies were conducted to verify the models. The results revealed that collaborative management had a positive effect on capital cost of prefabrication. Material increment costs and labor costs had significant impacts on production cost. This study demonstrated the potential of on-site management and standardization design to reduce capital cost. Hence, collaborative management is necessary for cost management of prefabrication. Innovation and detailed design were needed to improve cost performance. The new form of precast component factories can be explored to reduce transportation cost. Meanwhile, targeted strategies can be adopted for different prefabrication projects. The findings optimized the capital cost and improved the cost performance through providing an evaluation and optimization model, which helps managers to evaluate cost management level of prefabrication and explore key inducers for high capital cost.

In recent years, the issues of large energy consumption and degraded living environments have attracted considerable attention in developed and developing countries. Hence, green housing (GH) has become a popular strategy for achieving sustainable urbanization. The demand in the GH market played an important role in promoting GH. In China, whether potential consumers will pay for GH remains unclear. In this circumstance, this study aims to explore the willingness of construction practitioners, who are regarded to have more knowledge concerning GH, to pay for GH in China. Based on the theory of planned behavior (TPB), nine critical factors related to practitioners’ willingness to pay (WTP) were examined through face-to-face interviews using a questionnaire survey. A total of 180 construction participants in Jinan were investigated in this study. A binary logistic regression model was used to analyze the collected data. The research finding revealed that only 68 respondents were willing to pay for GH. Four factors showed significant and positive influences in practitioners’ WTP, including environmental awareness, GH comfort, government incentive, and neighbors’/friends’ assessment. By contrast, GH price displayed a significant and negative influence in practitioners’ WTP. The remaining factors, namely, mature GH market, degree of popularity, publicity of GH from developers, and GH affordability, showed insignificant relationships with the practitioners’ WTP. The research findings can provide a helpful reference for policy makers to formulate effective incentive policies in the promotion of GH.

Urbanization has brought notable benefits for cities, but has also resulted in severe and diverse challenges in China. Previous studies have contributed to the definitions and evaluation of urbanization. However, there remain a great deal of ambiguities regarding urban comprehensive carrying capacity, and its measurable indicators still need further exploration given the urban development. This study aims to explore a model for evaluating urban comprehensive carrying capacity and thus to promote urban development. A total of 48 indicators which fell into 8 subsystems were identified to evaluate the urban comprehensive carrying capacity through literature reviews and interviews. The indicator set was developed for evaluation indicator selecting. Meanwhile, the dynamic system was explored, and an evaluation model based on the entire array polygon method was designed to evaluate urban comprehensive carrying capacity. Finally, a case study was conducted to provide suggestions for the decision-maker to implement the evaluation model. The results of this study show that the evaluation indicator system was dynamic due to urban development. Meanwhile, the model of the entire array polygon method was able to effectively evaluate urban comprehensive carrying capacity through the case study. Furthermore, this study found that there is an imbalance among subsystems in urban development according to the standard deviation. The findings are useful for setting up a benchmark framework for urban sustainability and providing an evaluation and monitoring model for decision maker to improve the urban carrying capacity.

Integrated project delivery (IPD) is a new emerging delivery system, contributes to increase value to the owner, reduces waste and maximizes efficiency in the life cycle of projects. However, IPD system has not yet shifted from pilot-alike or particular-purposed cases to large-scale applications. The huge advantages of building information modeling (BIM) are far from being exploited, which directly leads to the delivered outcomes below expectations, thereby causing obstacles to widespread application of IPD system. The reasons impeding the successful application of BIM has been a hot topic. Previous studies suggested that moral hazard behavior is a critical inducer leading to the undesirable outcomes. However, very few studies have studied the evolution mechanism of moral hazard behavior for BIM application. To fill this knowledge gap, this study proposed a novel model, aiming to capture dynamically the interactive behavior of BIM-based strategy selections using evolutionary game theory. Five parameters of monitoring cost, proprietary cost, incentive payment, punishment and speculative benefit are extracted and defined in the proposed model. Numerical simulations are conducted with MATLAB 2016a. The simulation results showed that when incentive payment is higher than the sum of speculative benefit and proprietary cost, interactive behavior of both game players will move toward the optimal portfolio strategy. Incentive payment and punishment have negative correlations with the probability of moral hazard behavior for BIM application. Parameters of speculative benefit and proprietary cost affect positively implementation probability of moral hazard behavior of employing BIM. This study can provide theoretical and managerial implications for integrated project managers and related government department to improve implementation of BIM and IPD system, and also contribute to its sustainable development.

High capital cost is the most barrier to hindering the prefabrication development in some nations, especially in China. There exits cognitive deviations in high capital cost among stakeholders. This study aims to explore the factors affecting the high capital cost from the perspectives of perception and practice, and probe the effect of experience on cost management, then set up corresponding strategies for the government and decision maker to conduct rational policies for promoting the prefabrication development. The semi-structured interviews were conducted to explore factors affecting the high capital cost, and then questionnaire survey was employed to collect professionals’ views on their effects. After data collection, exploratory factor analysis was adopted to explore the latent factors from perception and practice respectively. The findings emphasized that experience as a tacit knowledge has a significant effect on the cognition of capital cost. Experienced paid more attention to practical problems, while inexperienced stressed on the potential risk and expensive. This study provides a new perspective for the government and decision makers to conduct policies for promoting the prefabrication development.