Incorporating stakeholders' values into environmental decision support : A Bayesian Belief Network approach

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http://hdl.handle.net/10138/309697

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Laurila-Pant , M , Mäntyniemi , S , Venesjärvi , R & Lehikoinen , A 2019 , ' Incorporating stakeholders' values into environmental decision support : A Bayesian Belief Network approach ' , The Science of the Total Environment , vol. 697 , 134026 . https://doi.org/10.1016/j.scitotenv.2019.134026

Title: Incorporating stakeholders' values into environmental decision support : A Bayesian Belief Network approach
Author: Laurila-Pant, Mirka; Mäntyniemi, Samu; Venesjärvi, Riikka; Lehikoinen, Annukka
Contributor: University of Helsinki, Ecosystems and Environment Research Programme
University of Helsinki, Natural Resources Institute Finland (Luke)
University of Helsinki, Creative adaptation to wicked socio-environmental disruptions (WISE STN)
Date: 2019-12-20
Language: eng
Number of pages: 11
Belongs to series: The Science of the Total Environment
ISSN: 0048-9697
URI: http://hdl.handle.net/10138/309697
Abstract: Participatory modelling increases the transparency of environmental planning and management processes and enhances the mutual understanding among different parties. We present a sequential probabilistic approach to involve stakeholders' views in the formal decision support process. A continuous Bayesian Belief Network (BBN) model is used to estimate population parameters for stakeholder groups, based on samples of individual value judgements. The approach allows quantification and visualization of the variability in views among and within stakeholder groups. Discrete BBN is populated with these parameters, to summarize and visualize the information and to link it to a larger decision analytic influence diagram (ID). As part of ID, the resulting discrete BBN element serves as a distribution-form decision criteria in probabilistic evaluation of alternative management strategies, to help find a solution that represents the optimal compromise in the presence of potentially conflicting objectives. We demonstrate our idea using example data from the field of marine spatial planning. However, this approach is applicable to many types of management cases. We suggest that by advancing the mutual understanding and concrete participation this approach can further facilitate the stakeholder involvement also during the various stages of the environmental management process. (C) 2019 The Authors. Published by Elsevier B.V.
Subject: 1172 Environmental sciences
Participatory modelling
Stakeholder involvement
Bayesian Belief Network
Multi-Criteria Decision Analysis
SERVICES
GULF
COASTAL
ECOSYSTEM-BASED MANAGEMENT
RIVER-BASIN
OIL
MODELS
BALTIC SEA
FRAMEWORK
TRADE-OFFS
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