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To find good solutions one need to have a good understanding of the problem. This holds true also for the problems urban planners are facing in areas such as mobility (congestion and accessibility), health (air pollution, passive life styles), energy (smart grids and transformation to renewable sources of energy), ageing (social exclusion, social satisfaction), and tourism (crowding). In this project you consider a planning problem of your choice and apply a suitable approach to better understand the problem and evaluate scenarios.
The approach includes Information from a big database such as GPS data, Twitter data or one of the large national surveys, such as OVIN. These databases provide rich information on micro-level of individuals. In this approach an existing database, or combination of databases is analysed to achieve a better understanding of behaviour of individuals with regard to the planning problem considered. During the project the following steps will be carried out: formulation of a research question; literature research; specification of a conceptual model; identification of relevant variables; preparation of the data; performing the analysis and interpreting the results. The analysis technique and database used will be chosen depending on the research question. The emphasis is on advanced techniques from the field of either regression modelling (e.g., path analysis) or data mining (e.g., Bayesian network learning).

Urban Research Methods (Strongly recommended)

Smart Urban Environments

The project does not allow for expansion, but helps to gain knowledge for SPSS or data-management related courses