4.6 Article

Spatially Explicit Fuzzy Cognitive Mapping for Participatory Modeling of Stormwater Management

期刊

LAND
卷 10, 期 11, 页码 -

出版社

MDPI
DOI: 10.3390/land10111114

关键词

flooding; geospatial analytics; GRASS GIS; knowledge elicitation; spatial scale dependency; socio-environmental systems; climate change; urban growth; socio-hydrology

资金

  1. National Science Foundation [1737563]
  2. Division Of Computer and Network Systems
  3. Direct For Computer & Info Scie & Enginr [1737563] Funding Source: National Science Foundation

向作者/读者索取更多资源

This study demonstrates that 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.
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.

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