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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| Format: | Article |
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MDPI AG
2021-10-01
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| Series: | Land |
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| Online Access: | https://www.mdpi.com/2073-445X/10/11/1114 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T05:21:53Z |
| format | Article |
| id | doaj.art-8ee890caa486495aa0e48a8db9f0ed86 |
| institution | Directory Open Access Journal |
| issn | 2073-445X |
| language | English |
| last_indexed | 2024-03-10T05:21:53Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Land |
| spelling | doaj.art-8ee890caa486495aa0e48a8db9f0ed862023-11-23T00:00:12ZengMDPI AGLand2073-445X2021-10-011011111410.3390/land10111114Spatially Explicit Fuzzy Cognitive Mapping for Participatory Modeling of Stormwater ManagementCorey T. White0Helena Mitasova1Todd K. BenDor2Kevin Foy3Okan Pala4Jelena Vukomanovic5Ross K. Meentemeyer6Center for Geospatial Analytics, North Carolina State University, Raleigh, NC 27695, USACenter for Geospatial Analytics, North Carolina State University, Raleigh, NC 27695, USADepartment of City and Regional Planning, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USASchool of Law, North Carolina Central University, Durham, NC 27707, USACenter for Geospatial Analytics, North Carolina State University, Raleigh, NC 27695, USACenter for Geospatial Analytics, North Carolina State University, Raleigh, NC 27695, USACenter for Geospatial Analytics, North Carolina State University, Raleigh, NC 27695, USAAddressing “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.https://www.mdpi.com/2073-445X/10/11/1114floodinggeospatial analyticsGRASS GISknowledge elicitationspatial scale dependencysocio-environmental systems |
| spellingShingle | 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 Land flooding geospatial analytics GRASS GIS knowledge elicitation spatial scale dependency socio-environmental systems |
| title | 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_short | Spatially Explicit Fuzzy Cognitive Mapping for Participatory Modeling of Stormwater Management |
| title_sort | spatially explicit fuzzy cognitive mapping for participatory modeling of stormwater management |
| topic | flooding geospatial analytics GRASS GIS knowledge elicitation spatial scale dependency socio-environmental systems |
| url | https://www.mdpi.com/2073-445X/10/11/1114 |
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