The project explores the potential of digital twins for developing sustainable, climate-resilient urban development strategies. Digital twins offer a realistic representation of the built environment based on a variety of spatial data sources. In combination with spatially explicit models that simulate specific systems or processes (e.g., urban heat island formation) they hold great promise for supporting urban planning and design. In this project we brought this promise to practice in interactive meetings (workshops) in which we gathered practitioners, experts, academics, and students to explore the potential of the digital twins.
The project yielded data sets, tools and documentation (a tutorial and an assignment) that were delivered to the participating municipalities and that are available to the wider research community.
The the Physiological Equivalent Temperature (PET) tutorial is available from the open science platform Zenedo: Cárdenas, Ivan L., Morales, Luis Rodrigoandrés, Koeva, Mila, Atun, Funda, & Pfeffer, Karin. (2023). Digital Twins for Physiological Equivalent Temperature Calculation Guide. Zenodo. https://doi.org/10.5281/zenodo.8306456 . The associated software can be downloaded from Github: https://github.com/ivan-cardenas/PET-DigitalTwins/, while an instruction video can be viewed here.
The green space assignment and its datasets are available from: Lynn Bouwknegt, Eduardo Dias, & Eric Koomen. (2023). Mapping Urban Green Space. Zenodo. https://doi.org/10.5281/zenodo.8138295.