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The Decision Analysis Interview Approach in the Collaborative Management of a Large Regulated Water Course

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Abstract

There are always conflicting goals in the management of large water courses. However, by involving stakeholders actively in the planning and decision-making processes, it is possible to work together toward commonly acceptable solutions. In this article, we describe how we applied interactive multicriteria decision analysis (MCDA) in a collaborative process which aimed at an ecologically, socially, and economically sustainable water course regulation policy. The stakeholders’ opinions about the alternative regulation schemes and the relative importance of their impacts were elicited with the HIPRE software. Altogether, 20 personal interactive decision analysis interviews (DAIs) were carried out with the stakeholders. Our experience suggests that the DAIs can considerably improve the quality and efficiency of the collaborative planning process. By improving communication and understanding of the decision situation in the steering group, the approach helped to develop a consensus solution in a case having strong conflicts of interest. In order to gain the full benefits of the MCDA approach, interactive preference elicitation is vital. It is also essential to integrate the approach tightly into the planning and decision-making process. The project’s home pages are available to the public at http://www.paijanne.hut.fi/.

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Acknowledgments

This study was funded by the Ministry of Agriculture and Forestry, Academy of Finland (PRIMEREG, 52793), Maa-ja vesitekniikan tuki ry, and Finnish Environment Institute. We thank Dr. Markus Hostmann and two anonymous referees for their valuable comments on the manuscript. The comments of Mr. Kai Kaatra were most helpful. Naturally, the authors take full responsibility for the final text.

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Correspondence to Mika Marttunen.

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Marttunen, M., Hämäläinen, R.P. The Decision Analysis Interview Approach in the Collaborative Management of a Large Regulated Water Course. Environmental Management 42, 1026–1042 (2008). https://doi.org/10.1007/s00267-008-9200-9

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  • DOI: https://doi.org/10.1007/s00267-008-9200-9

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