Exploring preference for Green Infrastructure and Stormwater Management solutions through attribute combinations
There are five visual attributes represented in the images created for this project.
Attribute | Low | Medium | High | |||
Density | -Two-story, single-family housing | -Two-story, duplex-style housing | -Two-story, row housing | |||
Naturalistic design(low = Natural) |
– Individual plants planted irregularly
– plant shape and height varied by 25% – Plant species mixed “naturally” throughout |
– Individual plants planted irregularly
– plant shape and height varied by 10% – Plants grouped in obviously manmade forms |
– Individual plants on an obvious grid or in rows.
-Plant shape and height consistent – Plants grouped in obviously manmade forms |
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Biodiversity
(low = |
Richness:
1 species each, grasses, shrubs and trees Evenness: Even within trees, even within shrubs, even within grasses |
Richness:
3-5 species grasses, shrubs and trees Evenness: Even within trees, even within shrubs, even within grasses |
Richness:
10 – 20 species grasses, shrubs and trees Evenness: Even within trees, even within shrubs, even within grasses |
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Water | Water only visible during storm event. | Water visible for 24-48 hours. | Water always visible.
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Mowing | 0% | 30% | 70% | 100% |
While each of the factors is clearly discernible when taken one at a time – density and mown percentage are visually obvious as is water, the naturalism of the design and biodiversity make sense when seen – stating a preference becomes much more challenging when considering the multiple possible combinations.
The tools provided here enable exploration of the multiple interacting factors that contribute to the acceptability or not of a green infrastructure solution.
Low, medium or high-density visualizations can be filtered. Each triplet represents a single combination of GI attributes. Browsing enables the user to explore how the combinations of individual factors lead to acceptability or not.
Each factor and attribute level can be filtered to enable direct comparison of filter combinations.