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Evaluating a Framework for Multi-Stakeholder Decision Support in Water Resources Management

Author

Listed:
  • Raimo Hämäläinen

    (Helsinki University of Technology)

  • Eero Kettunen

    (Helsinki University of Technology)

  • Mika Marttunen

    (Finnish Environment Institute)

  • Harri Ehtamo

    (Helsinki University of Technology)

Abstract

In this paper we describe a framework for multicriteria modeling and support of multi-stakeholder decision processes. We report on its testing in the development of a new water level management policy for a regulated lake-river system in Finland. In the framework the stakeholders are involved in the decision process from the problem structuring stage to the group consensus seeking stage followed by a stage of seeking public acceptance for the policy. The framework aims at creating an evolutionary learning process. In this paper we also focus on the use of a new interactive method for finding and identifying Pareto-optimal alternatives. Role playing experiments with students are used to test the practical applicability of a negotiation support procedure called the method of improving directions. We also describe the preference programming approach for the aggregation of the stakeholder opinions in the final evaluation of alternatives and consensus seeking.

Suggested Citation

  • Raimo Hämäläinen & Eero Kettunen & Mika Marttunen & Harri Ehtamo, 2001. "Evaluating a Framework for Multi-Stakeholder Decision Support in Water Resources Management," Group Decision and Negotiation, Springer, vol. 10(4), pages 331-353, July.
    • Handle: RePEc:spr:grdene:v:10:y:2001:i:4:d:10.1023_a:1011207207809
    DOI: 10.1023/A:1011207207809
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    References listed on IDEAS

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    Cited by:

    1. van Kouwen, Frank & Dieperink, Carel & Schot, Paul P. & Wassen, Martin J., 2007. "Interactive Problem Structuring with ICZM Stakeholders," Natural Resources Management Working Papers 9555, Fondazione Eni Enrico Mattei (FEEM).
    2. Hämäläinen, Raimo P. & Alaja, Susanna, 2008. "The threat of weighting biases in environmental decision analysis," Ecological Economics, Elsevier, vol. 68(1-2), pages 556-569, December.
    3. Hämäläinen, Raimo P. & Lahtinen, Tuomas J., 2016. "Path dependence in Operational Research—How the modeling process can influence the results," Operations Research Perspectives, Elsevier, vol. 3(C), pages 14-20.
    4. Wang, Q. & Poh, K.L., 2014. "A survey of integrated decision analysis in energy and environmental modeling," Energy, Elsevier, vol. 77(C), pages 691-702.
    5. Kersten, Gregory E. & Lai, Hsiangchu, 2007. "Satisfiability and completeness of protocols for electronic negotiations," European Journal of Operational Research, Elsevier, vol. 180(2), pages 922-937, July.
    6. Harri Ehtamo & Raimo P. Hämäläinen, 2001. "Interactive Multiple‐Criteria Methods for Reaching Pareto Optimal Agreements in Negotiations," Group Decision and Negotiation, Springer, vol. 10(6), pages 475-491, November.
    7. Aubert, Alice H. & Esculier, Fabien & Lienert, Judit, 2020. "Recommendations for online elicitation of swing weights from citizens in environmental decision-making," Operations Research Perspectives, Elsevier, vol. 7(C).
    8. Kucukali, Serhat, 2016. "Risk scorecard concept in wind energy projects: An integrated approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 975-987.

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