The Journal of Industrial Ecology shared the article “Machine learning-based stocks and flows modeling of road infrastructure” by Babak Ebrahimi, Leonardo Rosado and Holger Wallbaum.
The paper introduces a new method using machine learning applied to material flow analysis as an alternative to achetype modeling to study road infrastructure.
Holger Wallbaum says this was the first attempt to apply machine learning based methods to MFA but is confident in developing this method further with SB’s newest colleague, Maud Lanau . Read more
Studying cities from an Urban metabolism perspective. Its flows and stocks, its functions and needs. To provide information towards urban planning and circular economy.
Full Professor, Vice-Head of Department and Vice-Dean for Research
Holger is a Full Professor in sustainable building at the Division of Building Technology, research group Sustainable Building, and in the Area of advance Building Futures. Holger works within sustainable building on concepts, tools and strategies to enhance the sustainability performance of construction materials, building products, buildings as well as entire cities.