Job Advertisements: Scientific Staff (m/f/d) for the Centre for Urbanisation and Peripheralization (CUSP) at TU Munich
NEWS | 14.04.2025
Current job advertisement for research associates (m/f/d) at the Centre for Urbanisation and Peripheralization (CUSP) at the Technical University of Munich. Further information can be found in the PDF file.
Project Documentation: "Landsberg am Lech - Ready for 2055?"
NEWS| 31.03.2025
Project Documentation: "Landsberg am Lech - Ready for 2055?"
Students from the Master's programs in Urbanism and Architecture worked for several months to look at the long-term development of the town of Landsberg. The aim was to design a long-term spatial strategy. Based on a comprehensive analysis of the region and a methodology for working with future trends, the next 30 years were examined. Four student teams each present a vision of the future for “Landsberg 2055” and use an overall strategy and specific spatial proposals to show possible development paths for the region and local stakeholders.
The four student teams focus on different topics and show different development paths for the year 2055. How can resilient land use, inclusive mobility and social cohesion be strengthened and interlinked to achieve sustainable growth? How can the prospects of young residents be improved and education and innovation become key catalysts for positive development? How can Landsberg become a municipality that leads by example through the consistent implementation of sustainable mobility, a liveable city center and a self-sufficient energy supply? And how can Landsberg carry today's qualities into the future in order to be “just as great, only better” in 2055?
Link to the digital documentation (PDF, ca. 70 MB) available on mediaTUM.
New Publication: Where do knowledge-intensive firms locate in Germany?—An explanatory framework using exponential random graph modeling
Aktuelles
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Abstract This paper analyzes how positional and relational data in 186 regions of Germany influence the location choices of knowledge-based firms. Where firms locate depends on specific local and interconnected resources, which are unevenly distributed in space. This paper presents an innovative way to study such firm location decisions through network analysis that relates exponential random graph modeling (ERGM) to the interlocking network model (INM). By combining attribute and relational data into a comprehensive dataset, we capture both the spatial point characteristics and the relationships between locations. Our approach departs from the general description of individual location decisions in cities and puts extensive networks of knowledge-intensive firms at the center of inquiry. This method can therefore be used to investigate the individual importance of accessibility and supra-local connectivity in firm networks. We use attributional data for transport (rail, air), universities, and population, each on a functional regional level; we use relational data for travel time (rail, road, air) and frequency of relations (rail, air) between two regions. The 186 functional regions are assigned to a three-level grade of urbanization, while knowledge-intensive economic activities are grouped into four knowledge bases. This research is vital to understand further the network structure under which firms choose locations. The results indicate that spatial features, such as the population of or universities in a region, seem to be favorable but also reveal distinct differences, i.e., the proximity to transport infrastructure and different valuations for accessibility for each knowledge base.
