Lecture 10 Decision making under deep uncertainty Flashcards
Societal purpose of policy analysis
Assist decisionmakers (problem owners) in choosing a good course of action based on multiple (and often competing) criteria from among a variety of alternatives under uncertain conditions
Scientific purpose of policy analysis
Improve knowledge
The role of policy analysis
- Reduce the chances of proposing a poor policy, missing a good policy, implementing a policy at the wrong time, or focusing on the wrong problems
- Reduce complexity to manageable proportions
- Provide intuition, insight, and understanding
- Handle uncertainties
- Develop satisficing (acceptable) solutions efficiently
Parts of Transport Policy Analysis Framework
- External forces
- Urban Transport System
- Policymakers
- Goals, objectives, preferences
- Stakeholders
- Policies / strategies
- Outcomes of interest
Uncertainty
- Level of (limited) knowledge about future (and present and past)
- The gap between desired and available knowledge to come up with good decisions
Problems with current planning
- Substantial underestimation of costs, delay in implementation
- Results appear less useful and necessary than initially pretended
Causes of problem of current planning
- Lack of comprehensive problem definition and exploration of options
- Inappropriate ex-ante specification of costs and benefits
Traditional approaches assume:
- Sufficient knowledge
- Well characterized, predictable future
- Slowly changing environment
- Stable institutional arrangements
- Optimization using predictive models
Why aren’t traditional approaches working?
- Change is rapid
- System elements are tightly connected
- Standard models and scenarios don’t capture important issues
Frame Analysis (element of decisionmaking under deep uncertainty)
- Define problem and specify objectives
- Specify system and its boundaries
- Identify options
Perform exploratory uncertainty analysis (element of decisionmaking under deep uncertainty)
- Specify uncertainty (X, R, O, W)
- Explore vulnerabilities of options given the uncertainties
Choose short-term and long-term options (element of decisionmaking under deep uncertainty)
- Examine trade-offs and means for future adaptations
- Select (starting) policy and contingencies
- Plan for monitoring and making possible adaptations
Uncertainties related to the content of planning (mobility hubs)
- Unknown effect of hubs on multimodal mobility behaviour
- Unknown interaction of mobility hubs with contextual developments
Uncertainties related to process of planning (mobility hubs)
Unknown interactions between actors, unknown responses of private actors to public policies, unknown division of responsibilities across actors
Uncertainties related to institutional context of planning (mobility hubs)
Unknown development of patterns of perceptions of various actors towards mobility hubs, unknown development of regulatory frameworks for transport policy