This paper identifies 31 critical success factors (CSFs) and suggests a framework for effective stakeholder management in long-term complex megaconstruction (LCM) projects that require more than 10 years for multipurpose development. The results of a survey on the prioritization of these 31 CSFs reveal that LCM projects involve more stakeholders than do general construction projects and require a correspondingly wider range of changes during each project. To identify more systematic and strategic approaches to stakeholder management in LCM projects, a framework was developed through factor analysis and focus-group interviews with project management experts. The framework is composed of the following five agendas: clear understanding of stakeholders, clear definition of the project, effective communication, responding to environmental changes, and social cooperation. The analysis results show that LCM projects require a stronger emphasis on responding to environmental changes and social cooperation. These results, along with the CSF priorities, reveal the necessity of taking customized approaches to LCM projects. The results of this analysis are expected to help LCM project managers effectively manage stakeholders.

An understanding of the impacts of climate change on infrastructure is important in the context of reducing future socioeconomic losses. Previous research has introduced models based on empirical and mechanical analyses to predict the behavior of infrastructure considering climate change. However, the uncertainty and unavailability of information regarding climate change prevent the widespread use of these previous models. This paper presents a method for developing a climate impact-assessment system using fuzzy inferences to predict the alteration of infrastructure service life. Fuzzy inferences enable an understanding of the impacts of climate on infrastructure, with expert knowledge reflecting the interactions between multiple environmental factors. Based on the proposed method, the impacts of climate change on infrastructure can be analyzed by obtaining an expected service life with respect to various climate scenarios. A case study was conducted on a flexible pavement road in Alabama to show the applicability and utility of the method. The proposed method is expected to improve infrastructure management and planning practices, establishing proactive adaptation strategies to minimize additional infrastructure expenditure and damage.