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Interactive Problem Structuring with ICZM Stakeholders

Author

Listed:
  • Frank van Kouwen

    (Utrecht University)

  • Carel Dieperink

    (Utrecht University)

  • Paul P. Schot

    (Utrecht University)

  • Martin J. Wassen

    (Utrecht University)

Abstract

Integrated Coastal Zone Management (ICZM) is struggling with a lack of science-management integration. Many computer systems, usually known as “decision support systems”, have been developed with the intention to make scientific knowledge about complex systems more accessible for coastal managers. These tools, allowing a multi-disciplinary approach with multi-criteria analyses, are designed for well-defined, structured problems. However, in practice stakeholder consensus on the problem structure is usually lacking. Aim of this paper is to explore the practical opportunities for the new so-called Quasta approach to structure complex problems in a group setting. This approach is based on a combination of Cognitive Mapping and Qualitative Probabilistic Networks. It comprehends a new type of computer system which is quite simple and flexible as well. The tool is tested in two workshops in which various coastal management issues were discussed. Evaluations of these workshops show that (1) this system helps stakeholders to make them aware of causal relationships, (2) it is useful for a qualitative exploration of scenarios, (3) it identifies the quantitative knowledge gaps of the problem being discussed and (4) the threshold for non technicians to use this tool is quite low.

Suggested Citation

  • Frank van Kouwen & Carel Dieperink & Paul P. Schot & Martin J. Wassen, 2007. "Interactive Problem Structuring with ICZM Stakeholders," Working Papers 2007.52, Fondazione Eni Enrico Mattei.
  • Handle: RePEc:fem:femwpa:2007.52
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    References listed on IDEAS

    as
    1. Eden, Colin, 2004. "Analyzing cognitive maps to help structure issues or problems," European Journal of Operational Research, Elsevier, vol. 159(3), pages 673-686, December.
    2. Bell, Michelle L. & Hobbs, Benjamin F. & Ellis, Hugh, 2003. "The use of multi-criteria decision-making methods in the integrated assessment of climate change: implications for IA practitioners," Socio-Economic Planning Sciences, Elsevier, vol. 37(4), pages 289-316, December.
    3. Gregory, Robin & Wellman, Katharine, 2001. "Bringing stakeholder values into environmental policy choices: a community-based estuary case study," Ecological Economics, Elsevier, vol. 39(1), pages 37-52, October.
    4. Geurts, Jac. L. A. & Joldersma, Cisca, 2001. "Methodology for participatory policy analysis," European Journal of Operational Research, Elsevier, vol. 128(2), pages 300-310, January.
    5. Guido Vonk & Stan Geertman & Paul Schot, 2005. "Bottlenecks blocking widespread usage of planning support systems," Environment and Planning A, Pion Ltd, London, vol. 37(5), pages 909-924, May.
    6. Marchant, Thierry, 1999. "Cognitive maps and fuzzy implications," European Journal of Operational Research, Elsevier, vol. 114(3), pages 626-637, May.
    7. Brouwer, Roy, 2000. "Environmental value transfer: state of the art and future prospects," Ecological Economics, Elsevier, vol. 32(1), pages 137-152, January.
    8. Wellman, Michael P., 1994. "Inference in cognitive maps," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 36(2), pages 137-148.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Integrated Coastal Zone Management; Problem Structuring; Stakeholder Participation; Cognitive Mapping; Interactive Policy Making;

    JEL classification:

    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics

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