Urban Modeling and Simulation :: UMS Advanced 19.1
In this course, you learn to work with advanced urban modeling and simulation techniques based and system dynamics methods. We deal with the modeling of complex spatial systems on the regional and urban level. In this context computational analysis methods for urban fabric (e.g. for pedestrian movement or economic potentials) and models for computing interactions between land uses are introduced. By means of system dynamics models we can simulate temporal changes of stocks and flows.
We start the course with an introduction to tools and methods for data collection with Ur-Scape and Rhino/Grasshopper. Next, we introduce various spatio economic theories like the von Thuenen and Christaller models. In parallel we show you how these theories can be applied by corresponding simulations for your project site. Fianally you can simulation various urban development scenarios based on your planning concept.
The objective of this course is to enable you to model and simulate the dynamic mechanisms in an urban environment to understand and predict the future development of cities. This understanding allows you to steer the urban development by specific planning actions.
At the end of the course, you are able to develop a concept for your own urban simulation, implement it and use it as a basis for your urban planning strategy. The simulation is an integrated part of your digital urban design strategy together with other spatial analysis methods and parametric modeling. You project is viaualized via Mapbox and geo-referenced corrdinates on a web-map.
The knowledge provided through this online course is be deepened in consultations and documented in several exercises.
It is highly recommended that you finished the course Parametric Urban Design and Analysis, Urban Modeling and Simulation :: UMS Basics, and Introduction to Programming with C#, since we require basic knowledge in urban modeling, parametric design, and visual programming with Grasshopper for Rhino3D.
Reinhard is Junior-Professor for Computational Architecture at the Bauhaus-University Weimar and Principal Scientist at the Center for Energy at the Smart and Resilient Cities competence unit at the Austrian Institute of Technology (AIT) in Vienna. In addition, he acts as Co-PI in the Big Data Informed Urban Design group at the Future Cities Lab (FCL) at the Singapore ETH Centre. His current research interests are applicability of multi-criteria optimization techniques for planning synthesis, cognitive design computing and correlations of computed measures of spatial configurations with human cognition and usage of space.
David is designer and developer of the interactive urban data visualizations not only in the context of smart cities. He has over 6 years of experience with allowing teams materialize their visions in some of the most influential companies and research institutions around the globe (Coop-Himmelblau, Future Cities Laboratory, the ETH Zürich’s research unit in Singapore). In the role of design leader, he has driven planning and design support tools to successful implementation in Southeast Asia's mega-cities.
Martin is a research assistant at the Chair of Computer Science in Architecture at the Bauhaus-University Weimar in Germany. Since 2016, he is part of the interdisciplinary research project Integrated Infrastructure between Weimar and the EiABC, Addis Abeba University. The project focuses on digital planning and participation strategies for emerging cities in Ethiopia. Martin holds a bachelor degree in architecture at msa | münster school of architecture and graduated in the field of urbanism at TU Delft. Besides his research he is co-founder of form follows you. His main interest lays in easing stakeholder negotiation and participation with the support of computational planning tools.
Ondrej is a freelance researcher at Austrian Institute for Technology in Vienna, Austria. He's also a student of architecture currently finishing his bachelor diploma at VUT Brno, Czech Republic. In 2016 he has spent 2 semesters on Bauhaus Universität Weimar as an exchange student, working mostly on projects lead by the Chair Informatics in Architecture (InfAR). His main research interest is development of computational analysis and parametric modelling tools for urban planning.