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Participatory modelling for sustainable development: Key issues derived from five cases of natural resource and disaster risk management
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Environmental and Life Sciences (from 2013). Karlstad University, Faculty of Health, Science and Technology (starting 2013), Centre for Climate and Safety (from 2013).ORCID iD: 0000-0003-0301-3299
Bonn University, Germany.
Lund University, Sweden.
Swedish Meteorological and Hydrological Institute, Sweden.
2017 (English)In: Environmental Science and Policy, ISSN 1462-9011, E-ISSN 1873-6416, Vol. 76, p. 185-196Article in journal (Refereed) Published
Abstract [en]

Stakeholder participation is considered a key principle for sustainable development in the context of natural resource and disaster risk management. Participatory modelling (PM) is an interactive and iterative process in which stakeholder involvement is supported by modelling and communication tools. Planning and decision making for sustainable development (SD)integrate three substantive dimensions social, ecological and economic. The procedural dimension of SD, however, is equally important, and here we see great potential for PM. In this study, we evaluate five PM research projects against criteria for the procedural dimension of SD. This provides a basis for identifying key issues and needs for further research into PM for SD. While the cases show great potential, especially for supporting knowledge integration, learning and transparent handling of values and perspectives, they indicate a particular need to develop PM in respect of organizational integration. This issue is closely connected to the possibility of effectively implementing PM in practice.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 76, p. 185-196
Keywords [en]
Participatory modelling, sustainable development, procedure, research need, natural resources management, disaster risk management
National Category
Earth and Related Environmental Sciences
Research subject
Risk and Environmental Studies
Identifiers
URN: urn:nbn:se:kau:diva-63997DOI: 10.1016/j.envsci.2017.07.001ISI: 000407981300021OAI: oai:DiVA.org:kau-63997DiVA, id: diva2:1144681
Available from: 2017-09-27 Created: 2017-09-27 Last updated: 2018-08-15Bibliographically approved

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Hedelin, Beatrice

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  • apa
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