Adapt or Perish: A Review of Planning Approaches for Adaptation under Deep Uncertainty

By Warren E. Walker, Marjolijn Haasnoot, Jan H. Kwakkel. 2013

565 citations recorded by the source corpus.

There is increasing interest in long-term plans that can adapt to changing situations under conditions of deep uncertainty. We argue that a sustainable plan should not only achieve economic, environmental, and social objectives, but should be robust and able to be adapted over time to (unforeseen) future conditions. Large numbers of papers dealing with robustness and adaptive plans have begun to appear, but the literature is fragmented. The papers appear in disparate journals, and deal with a wide variety of policy domains. This paper (1) describes and compares a family of related conceptual approaches to designing a sustainable plan, and (2) describes several computational tools supporting these approaches. The conceptual approaches all have their roots in an approach to long-term planning called Assumption-Based Planning. Guiding principles for the design of a sustainable adaptive plan are: explore a wide variety of relevant uncertainties, connect short-term targets to long-term goals over time, commit to short-term actions while keeping options open, and continuously monitor the world and take actions if necessary. A key computational tool across the conceptual approaches is a fast, simple (policy analysis) model that is used to make large numbers of runs, in order to explore the full range of uncertainties and to identify situations in which the plan would fail.

Subfields: Global and Planetary Change, Management Science and Operations Research, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/7af4ded98e99b6ebb9f424b7eff58da5929406bb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

  1. Marjolijn Haasnoot
  2. Jan H. Kwakkel
  3. R. Swart
  4. Enrique Herrera-Viedma
  5. Huchang Liao
  6. Stefan Pfenninger
  7. Marc A. Rosen
  8. Fikret Berkes

In Management Science and Operations Research

  1. Huchang Liao
  2. Marjolijn Haasnoot
  3. Jan H. Kwakkel
  4. Enrique Herrera-Viedma
  5. Ming Tang
  6. Fikret Berkes
  7. Zeshui Xu
  8. Francisco Herrera

In Ocean Engineering

  1. Marjolijn Haasnoot
  2. Jan H. Kwakkel
  3. Enrique Herrera-Viedma
  4. Huchang Liao
  5. Fikret Berkes

Citations in the corpus