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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.
Alkuperäiskielienglanti
LehtiScience of the Total Environment
ISSN0048-9697
DOI - pysyväislinkit
TilaJulkaistu - 21 elokuuta 2019
OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä, vertaisarvioitu

Tieteenalat

  • 1172 Ympäristötiede

Lainaa tätä

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title = "Incorporating stakeholders' values into environmental decision support: A Bayesian Belief Network approach",
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.",
keywords = "Participatory modelling, Stakeholder involvement, Bayesian Belief Network, Multi-Criteria Decision Analysis, 1172 Environmental sciences",
author = "Mirka Laurila-Pant and Samu M{\"a}ntyniemi and Riikka Venesj{\"a}rvi and Annukka Lehikoinen",
year = "2019",
month = "8",
day = "21",
doi = "10.1016/j.scitotenv.2019.134026",
language = "English",
journal = "Science of the Total Environment",
issn = "0048-9697",
publisher = "Elsevier Scientific Publ. Co",

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Incorporating stakeholders' values into environmental decision support: A Bayesian Belief Network approach. / Laurila-Pant, Mirka; Mäntyniemi, Samu; Venesjärvi, Riikka; Lehikoinen, Annukka.

julkaisussa: Science of the Total Environment, 21.08.2019.

Tutkimustuotos: ArtikkelijulkaisuArtikkeliTieteellinenvertaisarvioitu

TY - JOUR

T1 - Incorporating stakeholders' values into environmental decision support: A Bayesian Belief Network approach

AU - Laurila-Pant, Mirka

AU - Mäntyniemi, Samu

AU - Venesjärvi, Riikka

AU - Lehikoinen, Annukka

PY - 2019/8/21

Y1 - 2019/8/21

N2 - 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.

AB - 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.

KW - Participatory modelling

KW - Stakeholder involvement

KW - Bayesian Belief Network

KW - Multi-Criteria Decision Analysis

KW - 1172 Environmental sciences

U2 - 10.1016/j.scitotenv.2019.134026

DO - 10.1016/j.scitotenv.2019.134026

M3 - Article

JO - Science of the Total Environment

JF - Science of the Total Environment

SN - 0048-9697

ER -