The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Adapt or Perish: A Review of Planning Approaches for Adaptation under Deep Uncertainty
Open accessAbstract
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.
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Cites
A fast and elitist multiobjective genetic algorithm: NSGA-II
Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.996017 · Cited by 50,053
Rational choice and the structure of the environment.
Simon, H. A. (1956) · Psychological Review · doi:10.1037/h0042769 · Cited by 5,919
Defining Uncertainty: A Conceptual Basis for Uncertainty Management in Model-Based Decision Support
Walker, W. E., Harremoës, P., Rotmans, J., van der Sluijs, J. P., van Asselt, M. B. A., Janssen, P., & Krayer von Krauss, M. P. (2003) · Integrated Assessment · doi:10.1076/iaij.4.1.5.16466 · Cited by 2,067
Self-citation
Cited by
Maier, H. R., Guillaume, J. H. A., van Delden, H., Riddell, G. A., Haasnoot, M., & Kwakkel, J. H. (2016) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2016.03.014 · Cited by 490
Self-citationBerkes, F. (2017) · Sustainability · doi:10.3390/su9071232 · Cited by 426
Anticipatory innovation governance: Shaping the future through proactive policy making
(2020) · OECD Working Papers on Public Governance · doi:10.1787/cce14d80-en · Cited by 303
Kwakkel, J. H., Haasnoot, M., & Walker, W. E. (2016) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2016.09.017 · Cited by 261
Self-citationSachan, S., Almaghrabi, F., Yang, J.-B., & Xu, D.-L. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2021.115597 · Cited by 66
Metadata
- Authors
- Walker, W., Haasnoot, M., & Kwakkel, J.
- Venue
- Sustainability
- Publisher
- MDPI AG
- Published
- 2013-03-04
- Volume
- 5
- Issue
- 3
- Pages
- 955-979
- ISSN
- 2071-1050 (ISSN-L)
- OpenAlex
- W2115266682
- Cited by
- 607
- References
- 3
- FWCI
- 24.43
- Type
- journal article
- Language
- en
- Open access
- gold
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- Walker, W., Haasnoot, M., & Kwakkel, J. (2013). Adapt or Perish: A Review of Planning Approaches for Adaptation under Deep Uncertainty. Sustainability. https://doi.org/10.3390/su5030955
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