Spatially Explicit Fuzzy Cognitive Mapping for Participatory Modeling of Stormwater Management

Addressing “wicked” problems like urban stormwater management necessitates building shared understanding among diverse stakeholders with the influence to enact solutions cooperatively. Fuzzy cognitive maps (FCMs) are participatory modeling tools that enable diverse stakeholders to articulate the com...

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Autores principales: Corey T. White, Helena Mitasova, Todd K. BenDor, Kevin Foy, Okan Pala, Jelena Vukomanovic, Ross K. Meentemeyer
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Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/8ee890caa486495aa0e48a8db9f0ed86
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spelling oai:doaj.org-article:8ee890caa486495aa0e48a8db9f0ed862021-11-25T18:08:56ZSpatially Explicit Fuzzy Cognitive Mapping for Participatory Modeling of Stormwater Management10.3390/land101111142073-445Xhttps://doaj.org/article/8ee890caa486495aa0e48a8db9f0ed862021-10-01T00:00:00Zhttps://www.mdpi.com/2073-445X/10/11/1114https://doaj.org/toc/2073-445XAddressing “wicked” problems like urban stormwater management necessitates building shared understanding among diverse stakeholders with the influence to enact solutions cooperatively. Fuzzy cognitive maps (FCMs) are participatory modeling tools that enable diverse stakeholders to articulate the components of a socio-environmental system (SES) and describe their interactions. However, the spatial scale of an FCM is rarely explicitly considered, despite the influence of spatial scale on SES. We developed a technique to couple FCMs with spatially explicit survey data to connect stakeholder conceptualization of urban stormwater management at a regional scale with specific stormwater problems they identified. We used geospatial data and flooding simulation models to quantitatively evaluate stakeholders’ descriptions of location-specific problems. We found that stakeholders used a wide variety of language to describe variables in their FCMs and that government and academic stakeholders used significantly different suites of variables. We also found that regional FCM did not downscale well to concerns at finer spatial scales; variables and causal relationships important at location-specific scales were often different or missing from the regional FCM. This study demonstrates the spatial framing of stormwater problems influences the perceived range of possible problems, barriers, and solutions through spatial cognitive filtering of the system’s boundaries.Corey T. WhiteHelena MitasovaTodd K. BenDorKevin FoyOkan PalaJelena VukomanovicRoss K. MeentemeyerMDPI AGarticlefloodinggeospatial analyticsGRASS GISknowledge elicitationspatial scale dependencysocio-environmental systemsAgricultureSENLand, Vol 10, Iss 1114, p 1114 (2021)
institution DOAJ
collection DOAJ
language EN
topic flooding
geospatial analytics
GRASS GIS
knowledge elicitation
spatial scale dependency
socio-environmental systems
Agriculture
S
spellingShingle flooding
geospatial analytics
GRASS GIS
knowledge elicitation
spatial scale dependency
socio-environmental systems
Agriculture
S
Corey T. White
Helena Mitasova
Todd K. BenDor
Kevin Foy
Okan Pala
Jelena Vukomanovic
Ross K. Meentemeyer
Spatially Explicit Fuzzy Cognitive Mapping for Participatory Modeling of Stormwater Management
description Addressing “wicked” problems like urban stormwater management necessitates building shared understanding among diverse stakeholders with the influence to enact solutions cooperatively. Fuzzy cognitive maps (FCMs) are participatory modeling tools that enable diverse stakeholders to articulate the components of a socio-environmental system (SES) and describe their interactions. However, the spatial scale of an FCM is rarely explicitly considered, despite the influence of spatial scale on SES. We developed a technique to couple FCMs with spatially explicit survey data to connect stakeholder conceptualization of urban stormwater management at a regional scale with specific stormwater problems they identified. We used geospatial data and flooding simulation models to quantitatively evaluate stakeholders’ descriptions of location-specific problems. We found that stakeholders used a wide variety of language to describe variables in their FCMs and that government and academic stakeholders used significantly different suites of variables. We also found that regional FCM did not downscale well to concerns at finer spatial scales; variables and causal relationships important at location-specific scales were often different or missing from the regional FCM. This study demonstrates the spatial framing of stormwater problems influences the perceived range of possible problems, barriers, and solutions through spatial cognitive filtering of the system’s boundaries.
format article
author Corey T. White
Helena Mitasova
Todd K. BenDor
Kevin Foy
Okan Pala
Jelena Vukomanovic
Ross K. Meentemeyer
author_facet Corey T. White
Helena Mitasova
Todd K. BenDor
Kevin Foy
Okan Pala
Jelena Vukomanovic
Ross K. Meentemeyer
author_sort Corey T. White
title Spatially Explicit Fuzzy Cognitive Mapping for Participatory Modeling of Stormwater Management
title_short Spatially Explicit Fuzzy Cognitive Mapping for Participatory Modeling of Stormwater Management
title_full Spatially Explicit Fuzzy Cognitive Mapping for Participatory Modeling of Stormwater Management
title_fullStr Spatially Explicit Fuzzy Cognitive Mapping for Participatory Modeling of Stormwater Management
title_full_unstemmed Spatially Explicit Fuzzy Cognitive Mapping for Participatory Modeling of Stormwater Management
title_sort spatially explicit fuzzy cognitive mapping for participatory modeling of stormwater management
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/8ee890caa486495aa0e48a8db9f0ed86
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