Lecture 10 Decision making under deep uncertainty Flashcards

1
Q

Societal purpose of policy analysis

A

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

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2
Q

Scientific purpose of policy analysis

A

Improve knowledge

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3
Q

The role of policy analysis

A
  • 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
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4
Q

Parts of Transport Policy Analysis Framework

A
  • External forces
  • Urban Transport System
  • Policymakers
  • Goals, objectives, preferences
  • Stakeholders
  • Policies / strategies
  • Outcomes of interest
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5
Q

Uncertainty

A
  • Level of (limited) knowledge about future (and present and past)
  • The gap between desired and available knowledge to come up with good decisions
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6
Q

Problems with current planning

A
  • Substantial underestimation of costs, delay in implementation
  • Results appear less useful and necessary than initially pretended
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7
Q

Causes of problem of current planning

A
  • Lack of comprehensive problem definition and exploration of options
  • Inappropriate ex-ante specification of costs and benefits
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8
Q

Traditional approaches assume:

A
  • Sufficient knowledge
  • Well characterized, predictable future
  • Slowly changing environment
  • Stable institutional arrangements
  • Optimization using predictive models
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9
Q

Why aren’t traditional approaches working?

A
  • Change is rapid
  • System elements are tightly connected
  • Standard models and scenarios don’t capture important issues
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10
Q

Frame Analysis (element of decisionmaking under deep uncertainty)

A
  • Define problem and specify objectives
  • Specify system and its boundaries
  • Identify options
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11
Q

Perform exploratory uncertainty analysis (element of decisionmaking under deep uncertainty)

A
  • Specify uncertainty (X, R, O, W)
  • Explore vulnerabilities of options given the uncertainties
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12
Q

Choose short-term and long-term options (element of decisionmaking under deep uncertainty)

A
  • Examine trade-offs and means for future adaptations
  • Select (starting) policy and contingencies
  • Plan for monitoring and making possible adaptations
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13
Q

Uncertainties related to the content of planning (mobility hubs)

A
  • Unknown effect of hubs on multimodal mobility behaviour
  • Unknown interaction of mobility hubs with contextual developments
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14
Q

Uncertainties related to process of planning (mobility hubs)

A

Unknown interactions between actors, unknown responses of private actors to public policies, unknown division of responsibilities across actors

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15
Q

Uncertainties related to institutional context of planning (mobility hubs)

A

Unknown development of patterns of perceptions of various actors towards mobility hubs, unknown development of regulatory frameworks for transport policy

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16
Q

Uncertainty may be:

A

Cognitive: related to lack of knowledge
Normative: related to different norms and values across actors

17
Q

Possible methods to cope with uncertainties

A
  • Collective model building
  • Shared visioning
  • Collective exploring
  • Serious gaming