<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

A Web-Based 3D Simulation Platform Aimed at Policy Makers for Estimating the Effects of Urban Heat Islands

Dept. of Digital Architecture and Planning

Dept. of Building Physics and Building Ecology

Slovak Journal of Civil Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

The prediction of microclimate effects within an urban context through simulations has previously been done through elaborate software packages that offer...

A Web-Based 3D Simulation Platform Aimed at Policy Makers for Estimating the Effects of Urban Heat Islands

Published Online: Jul 06, 2020

Page range: 18 - 22

DOI: https://doi.org/10.2478/sjce-2020-0010

Keywords
Pixel/Voxel based approach, Summer overheating, Mitigation, Urban greenery, Decision support

© 2020 Gabriel Wurzer et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

A Web-Based 3D Simulation Platform Aimed at Policy Makers for Estimating the Effects of Urban Heat Islands

Published Online: Jul 06, 2020

Page range: 18 - 22

DOI: https://doi.org/10.2478/sjce-2020-0010

KeywordsPixel/Voxel based approach, Summer overheating, Mitigation, Urban greenery, Decision support

© 2020 Gabriel Wurzer et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Keywords
Pixel/Voxel based approach, Summer overheating, Mitigation, Urban greenery, Decision support