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Spatially Explicit Fuzzy Cognitive Mapping for Participatory Modeling of Stormwater Management

Author

Listed:
  • Corey T. White

    (Center for Geospatial Analytics, North Carolina State University, Raleigh, NC 27695, USA)

  • Helena Mitasova

    (Center for Geospatial Analytics, North Carolina State University, Raleigh, NC 27695, USA
    Marine, Earth and Atmospheric Sciences, North Carolina State University, Raleigh, NC 27695, USA)

  • Todd K. BenDor

    (Department of City and Regional Planning, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA)

  • Kevin Foy

    (School of Law, North Carolina Central University, Durham, NC 27707, USA)

  • Okan Pala

    (Center for Geospatial Analytics, North Carolina State University, Raleigh, NC 27695, USA)

  • Jelena Vukomanovic

    (Center for Geospatial Analytics, North Carolina State University, Raleigh, NC 27695, USA
    Parks, Recreation and Tourism Management, North Carolina State University, Raleigh, NC 27695, USA)

  • Ross K. Meentemeyer

    (Center for Geospatial Analytics, North Carolina State University, Raleigh, NC 27695, USA
    Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC 27695, USA)

Abstract

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.

Suggested Citation

  • Corey T. White & Helena Mitasova & Todd K. BenDor & Kevin Foy & Okan Pala & Jelena Vukomanovic & Ross K. Meentemeyer, 2021. "Spatially Explicit Fuzzy Cognitive Mapping for Participatory Modeling of Stormwater Management," Land, MDPI, vol. 10(11), pages 1-29, October.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:11:p:1114-:d:661124
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    References listed on IDEAS

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    1. Mouratiadou, Ioanna & Moran, Dominic, 2007. "Mapping public participation in the Water Framework Directive: A case study of the Pinios River Basin, Greece," Ecological Economics, Elsevier, vol. 62(1), pages 66-76, April.
    2. Solana-Gutiérrez, Joaquín & Rincón, Gonzalo & Alonso, Carlos & García-de-Jalón, Diego, 2017. "Using fuzzy cognitive maps for predicting river management responses: A case study of the Esla River basin, Spain," Ecological Modelling, Elsevier, vol. 360(C), pages 260-269.
    3. Jelena Vukomanovic & Megan M. Skrip & Ross K. Meentemeyer, 2019. "Making It Spatial Makes It Personal: Engaging Stakeholders with Geospatial Participatory Modeling," Land, MDPI, vol. 8(2), pages 1-11, February.
    4. Amirulikhsan Zolkafli & Greg Brown & Yan Liu, 2017. "An Evaluation of the Capacity-building Effects of Participatory GIS (PGIS) for Public Participation in Land Use Planning," Planning Practice & Research, Taylor & Francis Journals, vol. 32(4), pages 385-401, August.
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    Cited by:

    1. Ghani, Latifah Abdul & Mahmood, Noor Zalina, 2023. "Modeling domestic wastewater pathways on household system using the socio-MFA techniques," Ecological Modelling, Elsevier, vol. 480(C).

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