The design and investment decisions in sustainable infrastructure systems such as green buildings and resource recovery in water utilities are influenced by the business model, investor risk perceptions, stakeholder preferences and lifecycle costs of these investments. Given the uncertainties in time and as a function of type of investor, user, policy, and business model or revenue assumptions, a decision feedback loop can be simulated and optimized for a specific infrastructure system, investor, and user/stakeholder.
Whereas traditionally, investment models align with social infrastructure, regulated business, or demand-based infrastructure, the business of interdependence (networked infrastructure) and the emerging data economy are changing infrastructure finance models, risk perception, and design decisions.
"By considering stakeholder network characteristics in terms of energy conservation and use, we can develop a decision framework for green building designs under various agent-based models. Understanding the risk perception and evaluation processes by different types of investors will provide feedback to infrastructure design and investment decisions."
Carol Menassa, Professor & John L. Tishman Faculty Scholar
"Conceptualization of urine diversion streams and new treatment infrastructure as a resource recovery strategy for water utilities needs to be validated using rigorous business model analysis. Is this a new line of business for the utility, a third party fertilizer revenue stream, or a scalable marketplace for nutrients?"
Glen Daigger, Professor of Practice, Environmental and Water Resources Engineering
"The integration of IoT and big data approaches for the deployment of 'smart drains' in agricultural fields helps to manage erosion and uncontrolled runoff. We have the technology and testbeds. However, we need to understand how the IoT value can be captured or monetized by the farmers and the cities or townships, and how investors beyond public grants can get engaged to aid in the design of scaled agricultural infrastructure."
Branko Kerkez, Professor and Director, Real-Time Water Systems Lab
"Our NSF network of infrastructure hazard simulation grant seeks to integrate models will allow us to evaluate cascading effects from disruptions in infrastructure systems. It would be of great value to be able to connect technical risk assessment and risk mitigation with financial risk management - particularly insurance and reinsurance..."
Sherif El-Tawil, Professor and Director, Computational Structural Simulation Laboratory (CSSL)
"Four step planning models that connect human activity to route choice in transportation systems connect scenario models with equilibrium and pricing analysis, but have feedback loops to strategic level transportation network designs... An extension of the feedback loops to investment and asset valuation models would help in the buildout of adaptive systems."
Neda Masoud, Assistant Professor, CEE