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This paper presents a new framework for decision making in sustainable drainage system (SuDS) scheme design. It integrates resilience, hydraulic performance, pollution control, rainwater usage, energy analysis, greenhouse gas (GHG) emissions and costs, and has 12 indicators. The multi-criteria analysis methods of entropy weight and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) were selected to support SuDS scheme selection. The effectiveness of the framework is demonstrated with a SuDS case in China. Indicators used include flood volume, flood duration, a hydraulic performance indicator, cost and resilience. Resilience is an important design consideration, and it supports scheme selection in the case study. The proposed framework will help a decision maker to choose an appropriate design scheme for implementation without subjectivity. [ABSTRACT FROM AUTHOR]

This paper aims to contribute to developing better ways for incorporating essential human elements in decision making processes for modelling of complex socio-ecological systems. It presents a step-wise methodology for integrating perceptions of stakeholders (qualitative) into formal simulation models (quantitative) with the ultimate goal of improving understanding and communication about decision making in complex socio-ecological systems. The methodology integrates cognitive mapping and agent based modelling. It cascades through a sequence of qualitative/soft and numerical methods comprising: (1) Interviews to elicit mental models; (2) Cognitive maps to represent and analyse individual and group mental models; (3) Time-sequence diagrams to chronologically structure the decision making process; (4) All-encompassing conceptual model of decision making, and (5) computational (in this case agent-based) Model. We apply the proposed methodology (labelled ICTAM) in a case study of viticulture irrigation in South Australia. Finally, we use strengths-weakness-opportunities-threats (SWOT) analysis to reflect on the methodology. Results show that the methodology leverages the use of cognitive mapping to capture the richness of decision making and mental models, and provides a combination of divergent and convergent analysis methods leading to the construction of an Agent Based Model. [ABSTRACT FROM AUTHOR]

Abstract: Scenario planning is one of the most prominent methods applied by organisations to assist long-term decision making. This paper uses a case study method to demonstrate how scenarios can be operationalised to inform future strategies and to challenge rigid silo-based decision making approaches. The WaterProof Northwest scenarios developed by the authors in collaboration with a range of stakeholders, and described within this paper, offer a platform for considering the future of the water environment. The scenarios were developed in the context of meeting the goals of the European Water Framework Directive. This Directive has the core aim of improving the chemical and ecological status of Europe''s water bodies. The scenarios highlight that water bodies in the case study area (the region of Northwest England) are impacted directly by a wide array of driving forces which will affect the state of the water environment over the coming decades. This analysis demonstrates that organisations responsible for creating and implementing long-term plans and policies to manage water are often far removed from the forces that will influence the effectiveness of the exercises that they are engaged in. The WaterProof Northwest scenarios highlight that organisations need different decision making approaches in order to adapt to modern environmental challenges. They also raise questions over whether environmental legislation such as the Water Framework Directive should incorporate a futures perspective in recognition of the wide ranging forces influencing their implementation. [Copyright &y& Elsevier]