Scenario-based preference modeling to examine the robustness of airport mega projects initiatives.

Airports are a high complex type of projects that are exposed to many disruptiveness. Proper management between airport expansion projects and airport operations is needed to ensure safety and efficiency of the project and the aviation. Scenario-based preference modeling is one of the robustness analysis techniques that describes the influence of disruptive scenarios on the project initiatives across different criteria.

Integrating Stakeholder Mapping and Risk Scenarios to Improve Resilience of Cyber-Physical-Social Networks.

The future of energy mobility involves networks of users, operators, organizations, vehicles, charging stations, communications, materials, transportation corridors, points of service, and so on. The integration of smart grids with plug-in electric vehicle technologies has societal and commercial advantages that include improving grid stability, minimizing dependence on nonrenewable fuels, reducing vehicle emissions, and reducing the cost of electric vehicle ownership. However, ineffective or delayed participation of particular groups of stakeholders could disrupt industry plans and delay the desired outcomes.