Developing a Robust Multi-Attribute Decision-Making Framework to Evaluate Performance of Water System Design and Planning under Climate Change

Author(s):  
Babak Zolghadr-Asli ◽  
Omid Bozorg-Haddad ◽  
Maedeh Enayati ◽  
Erfan Goharian
2021 ◽  
Author(s):  
◽  
Judith Helen Lawrence

<p>The ability of decision makers to respond to climate change impacts such as sea-level rise and increased flood frequency is challenged by uncertainty about scale, timing, dynamic changes that could lead to regime shifts, and by societal changes. Climate change adaptation decision making needs to be robust and flexible across a range of possible futures, to provide sufficient certainty for investment decisions in the present, without creating undue risks and liabilities for the near and long-term futures. A country’s governance and regulatory institutions set parameters for such decisions. The decision-making challenge is, therefore, a function of the uncertainty and dynamic characteristics of climate change, a country’s institutional framework, and the ways in which actual decision-making practice delivers on the intention of the framework.  My research asks if the current decision-making framework, at national and sub-national scales, and practices under it are adequate to enable decision makers to make climate change adaptation decisions that sufficiently address the constraints posed by climate change uncertainty and dynamic change. The focus is on New Zealand’s multi-scale governance and institutional framework with its high level of devolution to the local level, the level assumed as the most appropriate for climate change adaptation decisions. Empirical information was collected from a sample of agencies and actors, at multiple governance scales reflecting the range of geographical characteristics, governance types, organisational functions and actor disciplines. Data were collected using a mix of workshops, interviews and document analyses. The adequacy of the institutional framework and practice was examined using 12 criteria derived from the risk-based concepts of precaution, risk management, adaptive management and transformational change, with respect to; a) understanding and representing uncertainty and dynamic climate change; b) governance and regulations; and c) organisations and actors.  The research found that the current decision-making framework has many elements that could, in principle, address uncertainty and dynamic climate change. It enables long-term considerations and emphasises precaution and risk-based decision making. However, adaptive and transformational objectives are largely absent, coordination across multiple levels of government is constrained and timeframes are inconsistent across statutes. Practice shows that climate risk has been entrenched by misrepresentation of climate change characteristics. The resulting ambiguity is compounded at different governance scales, by gaps in the use of national and regional instruments and consequent differences in judicial decisions. Practitioners rely heavily upon static, time-bound treatments of risk, which reinforce unrealistic community expectations of ongoing protections, even as the climate continues to change, and makes it difficult to introduce transformational measures. Some efforts to reflect changing risk were observed but are, at best, transitional measures. Some experimentation was found in local government practice and boundary organisations were used as change-agents. Any potential improvements to both the institutional framework and to practices that could enable flexible and robust adaptation to climate change, would require supporting policies and adaptive governance to leverage them and to sustain decision making through time.  This thesis contributes to understanding how uncertainty and dynamic climate change characteristics matter for adaptation decision making by examining both a country-level institutional framework and practice under it. The adequacy analysis offers a new way of identifying institutional barriers, enablers and entry points for change in the context of decision making under conditions of uncertainty and dynamic climate change.</p>


Informatica ◽  
2021 ◽  
pp. 1-36
Author(s):  
Ayoub Mohammadian ◽  
Jalil Heidary Dahooie ◽  
Ali Reza Qorbani ◽  
Edmundas Kazimieras Zavadskas ◽  
Zenonas Turskis

Author(s):  
Douglas Van Bossuyt ◽  
Chris Hoyle ◽  
Irem Y. Tumer ◽  
Richard Malak ◽  
Toni Doolen ◽  
...  

Current methods of risk analysis conducted during the early phases of complex system design do not give a clear voice to the customer or design engineer when considering engineering risk attitude in the dynamic shaping of early-phase conceptual design trade study outcomes. The existing methods either collect risk information following the completion of a conceptual design thus treating risk as an afterthought during trade studies, make risk-informed decisions prior to the conduction of trade studies thus artificially constraining the design space, or do not consider risk at all. This paper proposes a risk-informed decision making framework that offers a new, meaningful way of accounting for risk during trade studies, informs design decisions during trade studies with pertinent risk information, and takes into account risk attitude of the design engineer or customer when risk-informed decisions are made. Risk is elevated to the same level of importance as other system level variables in trade studies and risk-based decisions are made by individual subsystem engineers through the lens of risk appetite. Several previously developed methods of risk trading, assessing engineering risk attitude, and making risk-informed decisions based upon engineering risk attitude using utility theory are synthesized into the risk-informed decision-making framework. Implementation methods for trade studies being performed by groups of people and automatically by computers are presented. Sensitivity of the framework to input variable variation is examined. A spacecraft example is employed to demonstrate the usefulness of the framework. This paper provides a novel framework for risk-informed design decisions made within trade studies that are based upon engineering risk attitudes in early phase conceptual design.


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