Infrastructure is the lifeline for fulfilling most of the basic needs that support the well-being and prosperity of human society. To sustain improvements in quality of life, China, as a developing economy, needs more and better infrastructure, despite facing massive funding shortages. An enormous amount of its private capital is locked up because of the many obstacles to private investment. This study introduces a blockchain-based financing instrument for unlocking massive private capital to fund infrastructure projects in China. It draws on a literature review and expert survey to identify the major holdups preventing private capital from funding infrastructure projects and to compare the existing instruments used in infrastructure financing. A fuzzy AHP-SWOT analysis is conducted to reveal the main internal factors (strengths and weaknesses) and external factors (opportunities and threats) in using blockchain-based finance in infrastructure projects. Finally, a conceptual framework for a blockchain-based infrastructure financing system is formulated to take advantage of the strength and opportunities, meanwhile, counter the weakness and threats, and the framework is also validated through its deployment on Hyperledger Fabric.

Branching structure is often used as a supporting structure of the grid shell due to its geometrical and force-transferring features, and the rationality of its shape is very important. The “physical” and “numerical” hanging models can be used for the joint form-finding of the branching structure and free-form grid shell. However, slack elements may exist in the equilibrium model which corresponds to the inefficient members in the form-found branching structure. To solve this problem, a form-finding method of branching structure based on dynamic relaxation is proposed in this study. The proposed method clusters the elements of the branching model and equalizes the axial forces of the elements in the same cluster, in other words, there are no slack elements in the equilibrium branching model. This method overcomes the defect that the equilibrium branching model may have slack elements and needs many manual adjustments during the procedure of determining the rational shape of a branching structure, and effectively prevents the inefficient members existing in the form-found structure. Numerical examples are provided to demonstrate the characteristics of the proposed method and its effectiveness is verified as well.

Energy is both a basic resource needed for economic growth and an essential tool for economic recovery. The topic of resilience is becoming increasingly prominent in the energy-economic domain and has also entered policy discourse. Yet the measuring method of resilience based on post-disruption events and the relationship between energy consumption and economic recovery are far from settled. This paper develops the idea of resilience and proposes a model to evaluate the economic recovery ability of an economy from the perspective of energy consumption. It also proposes a decoupling model to address the impact of energy-related elements on economic recovery. These ideas are then used for a preliminary empirical analysis of 14 countries against the context of the 2007-2008 financial crisis. The analysis showed that developing countries generally performed better than developed countries, that energy consumption is not a necessity for promoting economic recovery, and that energy-economic decoupling has a positive effect on economic recovery.

University students in architecture, engineering, and construction (AEC) are the main force and future leaders of the construction industry, and their values shape the model and direction of the industry’s future development. The construction industry is the largest contributor of waste and greenhouse gas emissions. However, there is an inconsistency between AEC university students’ perceptions and behaviors regarding sustainability, which has received little attention. This study attempts to shed light on the root causes of the inconsistency from the psychological perspective, incorporating construal level (CL) theory and psychological distance (PD) theory into situational settings of the experiment. We recruited 556 AEC students from 20 different universities to participate in data collection. Research findings revealed that PD has a significant influence on AEC students’ recycling behavior with variance in the effect of different dimensions, even though CL has no significant impact. Furthermore, findings show that spatial distance poses the greatest impact on AEC student recycling behavior, followed by information distance, temporal distance, experience distance, hypothetical distance, and social distance. This study contributes to the body of knowledge by introducing CL and PD into sustainability perception and behavior research in construction and has practical implications for universities with sustainability curricula in AEC.

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