Urban modeling for post-industrial cities – Collaborative UNIC Course (Bochum, Liège, Zagreb, Cork, virtual exchange 7.3.-11.3.2022)
– 25. November 2021
Changes in land use/cover are taking place worldwide in different spatial manifestations and intensities. In this context, urbanization is a process that is affecting more and more areas. Today, more than half of the world's population already lives in cities - in some European countries, the figure is up to 80%. Even though built-up areas account for only 2-3% of the land surface worldwide, their "ecological footprint" is considerable. Agricultural land in particular is being taken up for the expansion of settlement and transport areas. The simulation of such changes with the help of land use models is an important work step to calculate the future development of socio-ecological parameters such as migration, erosion, runoff behavior, biodiversity, etc. Using regional case studies from "hot spots" of urbanization, the necessary steps to capture and model urbanization will be carried out. First, the derivation of urban growth from satellite data will be discussed. In a second step, the spatiotemporal changes will be quantified, patterns of urbanization will be analyzed and finally scenarios of urban growth will be calculated and validated using a geospatial modeling environment.
The course is embedded in the UNIC network. The European University of Post-Industrial Cities (UNIC) consists of eight universities situated in different countries throughout Europe, representing eight different post-industrial cities.
Having successfully passed the module, the students
have fundamental knowledge of principles of urban remote sensing and its application
have fundamental knowledge of principles of urban expansion simulation models and their application (drivers, effects and measures);
are familiar with innovative urban projects and complex project set-ups: public-private partnership, innovative institutional structures, sustainable urban planning
can estimate the impacts of urban expansion on the coupled human environment system and urban rural interactions, considering issues like mobility, climate change, CO2 emissions, exposure to floods and other types of hazards;
are able to extract thematic spatio-temporal information from the analysis of remote sensing, cadastral and crowd sourced data;
are able to visualize the results of urban expansion models through a combination of static and dynamic supports;
know the limitations of methodological approaches embedded in current software and theoretical definitions of key concepts underlying urban expansion;
envision the smart, resilient, green, and equitable city.
Interested students can register via eCampus. More information can be found here.
Kontakt für Rückfragen: andreas.rienow@rub.de
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