uncertainty and risk; multi criteria decision analysis (MCDA); stakeholder participation; modelling; wastewater; infrastructure planning process; water supply
Zheng Jun, Lienert Judit (2018), Stakeholder interviews with two MAVT preference elicitation philosophies in a Swiss water infrastructure decision: aggregation using SWING-weighting and disaggregation using UTA-GMS, in European Journal of Operational Research
, 267(1), 273-287.
Scholten Lisa, Maurer Max, Lienert Judit (2017), Comparing multi-criteria decision analysis and integrated assessment to support long-term water supply planning, in PLoS ONE
, 12(5), e0176663-e0176663.
Zheng Jun, Egger Christoph, Lienert Judit (2016), A scenario-based MCDA framework for wastewater infrastructure planning under uncertainty, in Journal of Environmental Management
, 183(3), 895-908.
Lienert Judit, Duygan Mert, Zheng Jun (2016), Preference stability over time with multiple elicitation methods to support wastewater infrastructure decision-making, in European Journal of Operational Research
, 253(3), 746-760.
Scholten Lisa, Schuwirth Nele, Reichert Peter, Lienert Judit (2015), Scholten, L., Schuwirth, N., Reichert, P., Lienert, J. (2015) Tackling uncertainty in multi-criteria decision analysis – An application to water supply infrastructure planning., in European Journal of Operational Research
, 242(1), 243-260.
Lienert Judit, Scholten Lisa, Egger Christoph, Maurer Max (2015), Structured decision-making for sustainable water infrastructure planning and four future scenarios, in EURO Journal on Decision Processes
, 3(1-2), 107-140.
Scholten Lisa, Scheidegger Andreas, Reichert Peter, Maurer Max, Lienert Judit (2014), Strategic rehabilitation planning of piped water networks using multi-criteria decision analysis, in Water Research
, 49, 124-143.
Scholten Lisa, Scheidegger Andreas, Reichert Peter, Maurer Max (2013), Combining expert knowledge and local data for improved service life modeling of water supply networks, in Journal of Environmental Modelling and Software
, 42, 1-16.
Scheidegger Andreas, Sholten Lisa, Maurer Max, Reichert Peter (2013), Extension of pipe failure models to consider the absence of data from replaced pipes, in Water Research
, 47(11), 3696-3705.
Renner R., Schneider F., Hohenwallner C., Kopeinig C., Kruse S., Lienert J., Link S., Muhar S. (2013), Meeting the challenges of transdisciplinary knowledge production for sustainable water governance, in Mountain Research and Development
, 33(3), 234-247.
Egger Christoph, Scheidegger Andreas, Reichert Peter, Maurer Max (2013), Sewer deterioration modeling with condition data lacking historical records, in Water Research
, 47, 6762-6779.
Lienert Judit, Schnetzer Florion, Ingold Karin (2013), Stakeholder analysis combined with social network analysis provides fine-grained insights into water infrastructure planning processes, in Journal of Environmental Management
, 125, 134-148.
Scheidegger A, Maurer M (2012), Identifying biases in deterioration models using synthetic sewer data, in WATER SCIENCE AND TECHNOLOGY
, 66(11), 2363-2369.
Jaquemet Dominique, Battaglia Gianna (2012), Nachhaltige Wassernutzung: Der Fall Mönchaltorfer Aa, Greifensee, transdisziplinäre Fallstudie 2011 (Eine Studie im Rahmen des Nationalen Forschungsprogramm "Nachhaltige Wassernutzung" (NFP 61))
, ETH-UNS TdLab, ETH-Zürich.
Scheidegger A, Hug T, Rieckermann J, Maurer M (2011), Network condition simulator for benchmarking sewer deterioration models., in Water research
, 45(16), 4983-94.
The aim of the project is to improve the current planning process for water infrastructures, exemplified in two Swiss catchments with several municipalities involved. Main goal is to provide a procedural tool for more comprehensive and integrative water infrastructure planning (SWIP) that enhances planning efficiency, is well accepted by stakeholders, and can help overcome the common Nash equilibrium situation. There is an emphasis on dealing with limited data availability and the uncertainty of future developments. The suggested approach integrates itself into the existing governance structures (planning procedure, e.g. GEP, GWP) without the prior need to change organizational or legal frameworks.The interdisciplinary research project is approached with three dissertations. (A) One PhD student is responsible for multi criteria decision analysis (MCDA) in water supply. The focus is on predicting the consequences of different water infrastructure development alternatives and on estimating and dealing with uncertainty in prediction and valuation for decision support. Prediction will be based on the conceptual development of the Dynamic Water Infrastructure Model of the second dissertation and on existing water infrastructure planning software adapted to consider uncertainty.(B) The second PhD student will develop the Dynamic Wastewater Infrastructure Model (DWIM) that predicts consequences of planning alternatives in the wastewater sector. DWIM is a toolbox of new models (Infrastructure Generator, Decay Model and Management Module), combined with an existing Integrated Urban Catchment Simulator. DWIM includes an uncertainty framework that considers the uncertainties and variability of the model inputs (e.g. future rain patterns, demographic changes) and parameters (e.g. runoff coefficient). The outputs of the DWIM are costs over time and water quality indicators for a range of management options. These are needed as an input into the decision analysis.(C) The third dissertation focuses entirely on decision sciences and stakeholder participation, applying MCDA for wastewater infrastructure management. A stakeholder analysis is carried out in the case studies and the objectives hierarchy is developed for water supply and wastewater together with the decision makers. The model predictions for wastewater alternatives of PhD (B) are integrated into the MCDA. The methodological contribution focuses on MCDA problems to elicit stakeholder values. PhD (C) also studies the integration of individual results in multistakeholder settings and group decision making.The combination of engineering with the decision sciences will result in an integrated and participatory planning procedure for water supply and wastewater infrastructure management that balances economic aspects (we predict costs of decision alternatives), with ecology (we link to ecosystem effects), and social aspects (we integrate stakeholder values). The proposed approach is tested in two cases in cooperation with an engineering firm and the municipalities. To ensure good anchoring with current scientific knowledge and experts, we also collaborate with other NRP-61 projects and representatives from SVGW and VSA. The results from the case studies will give an exemplary understanding of the individual stakeholder’s objectives and preferences and will support future-oriented, collaborative planning processes under change scenarios. Based on the outcomes, we will refine the modular decision support procedure for other applications and generate an implementation guideline. Thus, the entire approach, or only elements of it, can be adapted to a variety of real-world difficult decision situations with multiple stakeholders involved.