Spatial planning | Spatial Data Science | GeoAI
My GitHubHello and welcome to my Page! My name is Florian Frank. I hold a Bachelor's and a Master's degree in Spatial Planning from TU Wien (Vienna University of Technology).
During my Master's studies, I worked as a project assistant at TU Wien's Research Unit of Transportation Systems, where I contributed to several research projects. These included Aspern MobilLab, which involved establishing a mobility panel in collaboration with residents of Vienna's Seestadt Aspern district. In the CLK1 project, I worked on parcel delivery systems using parcel lockers. Another project, TRACE, investigated the use of delivery robots for B2B and B2C deliveries in three European cities.
After completing my Master's degree, I joined MovingLayers as a geoinformatics specialist, focusing on software development. My responsibilities included developing, maintaining, and testing QGIS plugins, particularly for electric power line route planning.
Alongside my professional work, I began pursuing a Master's degree in Spatial Data Science and GeoCommunication at the University of Vienna. Through this programme, I aim to further develop my skills in spatial data analysis, programming, and GeoAI.
On this website, I showcase my projects, technical interests, and work in geoinformatics, spatial data science, and software development.
How can GIS and spatial data be used to analyse passenger and freight transport and improve its efficiency? I am particularly interested in how spatial analysis can help us better understand traffic flows, develop sustainable mobility concepts, and support changes in travel behaviour.
I am interested in how spatial data can be used to analyse urban structures, accessibility, and access to essential services. I am particularly interested in how AI can be used to support planning processes and enable data-driven decision-making in urban and regional planning.
Another area of interest is the application of GeoAI and machine learning to spatial data analysis and planning processes. I am also interested in the potential of Large Language Models (LLMs) to support planning processes, improve the efficiency of geospatial data analysis, and enable new approaches to the automated processing of spatial information.
10/2025 – Present
MSc in Spatial Data Science and GeoCommunication
10/2022 – 05/2025
MSc in Spatial Planning
10/2019 – 10/2022
BSc in Spatial Planning
09/2013 – 07/2015
Post-secondary Programme in Industrial Engineering
Secondary School Leaving Certificate (Matura)
09/2005 – 07/2009
Technical Vocational School in Mechanical Engineering
This section provides an overview of selected projects and publications I have contributed to, as well as projects and work I have developed independently.
Fetka, J., Frank, F., & Berger, M. (2024). CO2-Reduktion im KEP-Sektor durch Paketboxen. Eine Potenzialstudie für das Fallbeispiel Klagenfurt.
Frank, F. (2025). Vom Zentrum an den Rand! : die Veränderungen der Erreichbarkeit von Lebensmittelgeschäften in Österreich [Diploma Thesis, Technische Universität Wien]. reposiTUm.
While working on my Master's thesis, I was looking for a way to decode the bitmasks of Austria's Graph Integration Platform (GIP), an intermodal transport network. The goal was to extract the binary-encoded information to determine which modes of transport are permitted on individual network edges and identify any access restrictions.
This led to the development of the Austria GIP Decoder, a Python project designed to decode and analyse this information, making the GIP transport network easier to use for spatial analysis and routing applications.
Austria GIP Decoder on GitHub