DMDU: Decision Making under Deep Uncertainty

Objectives

• Promote a broad understanding of practical approaches to effectively inform decision-makers faced with uncertainty underpinning baseline assumptions in travel forecasting and planning.
• Advance the state of the practice in the specification, development, and application of appropriate quantitative tools to support DMDU
• Advance DMDU in organizations
• Continue the work of the TRB Travel Forecasting DMDU initiative

Community Engagement

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Goals

We are modelers, so this initiative takes a model-centric view of DMDU, but a big part of DMDU is moving the focus away from model forecasts and towards getting to better decisions!

• Complement predictive applications of models with insights generated from exploratory applications
• Promote use of models in concert with decision makers and stakeholders
• Facilitate an adaptive planning process where multiple futures are considered and immediate steps are taken to maintain flexibility and resiliency

Resources

Lead: Marty Milkovits and Flavia Tsang

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