2018
DOI: 10.1080/1573062x.2018.1529803
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Decision making under deep uncertainty for adapting urban drainage systems to change

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Cited by 26 publications
(14 citation statements)
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“…The presence of deep uncertainty is felt across many sectors such as energy generation [5], water supply [6], coastal flood risk [7], and transport planning [8]. Deep Uncertainty is also present within the problem of urban pluvial flooding [9]. However, the deep uncertainties present within urban pluvial flooding have not been widely explored.…”
Section: Introductionmentioning
confidence: 99%
“…The presence of deep uncertainty is felt across many sectors such as energy generation [5], water supply [6], coastal flood risk [7], and transport planning [8]. Deep Uncertainty is also present within the problem of urban pluvial flooding [9]. However, the deep uncertainties present within urban pluvial flooding have not been widely explored.…”
Section: Introductionmentioning
confidence: 99%
“…Thresholds can be identified using technical, environmental, societal, or economic indicators [30,38]. An AT is found by modelling the system and placing it under increasingly larger stress [42]. ATs can also be identified through moderated processes using scenarios with different conditions representing stress and using sensitivity testing.…”
Section: Dynamic Adaptive Policy Pathways (Dapp)mentioning
confidence: 99%
“…Within urban flooding, deep uncertainty arises through the interaction of multiple sources of uncertainty such as population growth, land use change, and climate change (Babovic et al, ; Deng et al, ). Given the limited degree of confidence that can be attributed to projections of the future, it is critical that methodologies of planning account for these uncertainties as the “traditional optimum expected utility approach, at least in its most basic form, is insufficient to address decision challenges with the characteristics of climate change” (Groves & Lempert, pp.…”
Section: Introductionmentioning
confidence: 99%
“…However, under conditions of deep uncertainty this may not lead to improved predictive ability, as the past is of limited use as an indicator of the future (Milly et al, 2008). Deep uncertainty does not reflect complete ignorance about what may happen in the future; it is possible to identify plausible futures, but it is not possible to explore all possible uncertainties (Herman, Zeff, Reed, & Characklis, 2014;Kwakkel & Pruyt, 2013) A thorough exploration of decision making under deep uncertainty (DMDU) can be found in Walker, Haasnoot, and Kwakkel (2013), while Babovic, Mijic, and Madani (2018) explores DMDU in an urban drainage context.…”
Section: Introductionmentioning
confidence: 99%