Mega infrastructure projects (MIPs) have become increasingly important to the realization of sustainable development in China. Sustainable development is a process of dynamic balance, and coordinating the triple bottom line (the environmental, social, and economic dimensions) will enable more sustainable development of MIPs. However, previous studies have lacked consideration of coordination when applying sustainable development principles to the systematic identification of risks to MIPs. The goals of this study were to clarify the definition and dimensions of the sustainable development of MIPs and to identify the key risks of MIPs. A literature review was performed to extend the definition of sustainable development of MIPs by combining the triple bottom line with a fourth coordination dimension. A conceptual model of MIP risk identification was then proposed from an extended sustainable development perspective, 22 sustainability elements and 75 risk factors were identified, and the key risk factors were determined based on the interview responses and fuzzy set theory. The results show that economic risks have a high probability, social risks have a high loss, environmental risks have an intermediate probability and loss, and coordination risks have the greatest impact. In addition, the three most important key risk factors were found to be construction and installation cost overruns, land acquisition and resettling cost overruns, and information sharing with the public. Identifying key risk factors can provide information to help stakeholders understand the risk factors associated with MIPs and formulate reasonable risk response strategies.@en

Contemporary Chinese artist villages (CCAVs) have been developing rapidly and have become an important locus for developing cultural and creative industries, providing a strong pathway for China to achieve high-quality development and promote new urbanization. However, in practice, there are still many CCAVs that struggle with sustainable development. At present, the academic research on CCAVs mainly focuses on demonstrating the role of artist villages in promoting development in economic, social, artistic, and other fields without forming a systematic, sustainable development model or targeted policy recommendations. Therefore, the CCAV must be taken as a research object, and the influencing factors and mechanisms of its development must be analyzed through systematic quantitative research to provide a theoretical basis for the sustainable development (SD) of CCAVs. This paper identifies the factors influencing the sustainable development of CCAVs through grounded theory and expert interviews and creates a list of 21 influencing factors. Based on internal and external considerations, these influencing factors can be divided into the following four categories: artists, government, company/capital, and outside environment. This paper constructs a mechanism model for the SD of CCAVs with the help of a structural equation model, which is a quantitative analysis tool based on empirical research. The key mechanisms influencing the SD of CCAVs are obtained through research. Using quantitative research, the paper determines four categories of influencing factors and the mechanisms influencing the SD of CCAVs. This study provides an important resource for governments at all levels to promote the sustainable development of artist villages in the region.@en

Mega infrastructure projects (MIPs) are exposed to numerous interdependent risks of various natures which pose difficulties in risk management. Thus far, the research on the risk interactions of MIPs has been focused on developing static risk networks within a single category of risks, at certain stages of the project. It is essential to understand the risk interactions at various stages of MIPs to identify the key risks and key risk relationships that jeopardise their success. This is especially relevant nowadays, as MIPs are expected to be delivered sustainably. Therefore, to analyse the dynamic risk interaction of MIPs, initially, through literature analysis and expert interviews, combined with the four dimensions of sustainable development and the four stages of MIPs, 98 risk factors of MIPs were identified. Subsequently, semi-structured interviews were conducted to determine risk relationships and weights. Risk networks were developed for each stage of MIPs, and improved social network analysis was applied to these risk networks. Finally, the key risks and key risk relationships in each stage of MIPs were identified by analysing the changes of multi-level network indicators. This aided in determining risk control strategies. The results demonstrate that the key risks and key risk relationships are different for each stage of MIPs. Furthermore, the risks of different dimensions of sustainable development have different relationships at different stages. This research is the first to identify the risk relationships involved in MIPs by taking into consideration the whole project life cycle and its sustainable development. This research provides theoretical support for the risk management of MIPs, and strategic suggestions for controlling the risks at each stage of the project.@en