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G. Wurzer, U. Pont, W Lorenz, S. Swoboda, A. Mahdavi:
"A web-based 3D Simulation Plattform aimed at Policy Makers for Estimating the Effects of Urban Heat Islands";
Slovak Journal of Civil Engineering, 28 (2020), S. 18 - 22.

(no german abstract)
The prediction of microclimate effects within an urban context
through simulations has previously been done through elaborate software packages that offer accurate results but require
extensive domain knowledge and time for the preparation of
a model. In day-to-day policymaking, however, these efforts
may turn out to be a major limiting factor: Policymakers and
city administrators need a quick tool that can predict the effects of urban interventions in a variety of possible scenarios
rather than a full-fledged simulation study for a limited set of
specific interventions. In our work, we have been seeking to address this mismatch in expectations by using the best of both
worlds: We have approximated results from a full-fledged simulation that uses a Cellular Automaton running within a 3D
city visualization. Policymakers can edit the urban context by
changing cell types (placement of greenery, etc.), thus leading
to scenarios that can be compared to the status quo. As a matter of fact, policymakers can use these comparisons to argue
for measures that mitigate the effects of heat islands, without
requiring extensive domain knowledge or the effort to prepare
a simulation model.

The prediction of microclimate effects within an urban context
through simulations has previously been done through elaborate software packages that offer accurate results but require
extensive domain knowledge and time for the preparation of
a model. In day-to-day policymaking, however, these efforts
may turn out to be a major limiting factor: Policymakers and
city administrators need a quick tool that can predict the effects of urban interventions in a variety of possible scenarios
rather than a full-fledged simulation study for a limited set of
specific interventions. In our work, we have been seeking to address this mismatch in expectations by using the best of both
worlds: We have approximated results from a full-fledged simulation that uses a Cellular Automaton running within a 3D
city visualization. Policymakers can edit the urban context by
changing cell types (placement of greenery, etc.), thus leading
to scenarios that can be compared to the status quo. As a matter of fact, policymakers can use these comparisons to argue
for measures that mitigate the effects of heat islands, without
requiring extensive domain knowledge or the effort to prepare
a simulation model.

Pixel/Voxel based approach, Summer overheating, Mitigation, Urban Greenary, Decision Support

http://dx.doi.org/10.2478/sjce-2020-0010

https://content.sciendo.com/view/journals/sjce/28/2/article-p18.xml