Calderdale, UK & Copenhagen, DK
AI tools were effective for creating scenario landscape visualisations and may be an key tool for expanding participatory research methods, such as photo collages to depict desired #FutureLandscapes 🧵(10/10)
AI tools were effective for creating scenario landscape visualisations and may be an key tool for expanding participatory research methods, such as photo collages to depict desired #FutureLandscapes 🧵(10/10)
We argue they should be “strategic urban support landscapes” to help city regions adapt to a changing climate, reframing their spatial proximity which once made them a planning challenge, as an asset🧵(9/10)
We argue they should be “strategic urban support landscapes” to help city regions adapt to a changing climate, reframing their spatial proximity which once made them a planning challenge, as an asset🧵(9/10)
The #Multifunctional scenario was perceived as having most benefits, likely and preferred.
There is substantial cross-sector consensus for more (multi)functional Green Belts as a uniting framework 🧵(8/10)
The #Multifunctional scenario was perceived as having most benefits, likely and preferred.
There is substantial cross-sector consensus for more (multi)functional Green Belts as a uniting framework 🧵(8/10)
We used and tested #AI image generation to create fictional but typical base #GreenBelt landscapes to visualise possible changes 🧵(3/10)
We used and tested #AI image generation to create fictional but typical base #GreenBelt landscapes to visualise possible changes 🧵(3/10)
But as #SocialEcologicalLandscapes, wider land-use demands coverage. A cross-sector stakeholder workshop co-developed exploratory Green Belt landscape scenarios in 2044🧵(2/10)
But as #SocialEcologicalLandscapes, wider land-use demands coverage. A cross-sector stakeholder workshop co-developed exploratory Green Belt landscape scenarios in 2044🧵(2/10)