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In this course students learn core research and evaluation methods for urban planning/management. The focus is on quantitative methods and evaluation techniques. The following topics are covered:
– Decision processes in urban planning and management
– Developing a conceptual model for a research problem
– Data analysis and modeling techniques

• Regression analysis
• Discrete choice modeling (incl. stated choice experiments)

– Evaluation techniques for decision making
– Survey methodologies.
Research methods are relevant in the first stages of the decision process where the aim is to generate knowledge about a problem or possible actions. Evaluation techniques are relevant in the last stage where the aim is to determine a preference ranking of action alternatives. The techniques are explicitly positioned in a decision process model.
The course consist of a series of lectures and literature study. Each lecture is complementary to the literature studied and accompanied by a practical where the students apply the theory to a case.

• Research and Statistics (Bachelor)
• Mobility and Logistics (Bachelor)
• Research and Development Project
• Smart Cities

• Graduation project
• Research and Development Project
• Big Data for Urban Analysis

• Statistics
• Setting up a conceptual model and research questions, theoretical underpinnings of regression analyses, discrete choice theory, survey by stated choices, path analyses, decision techniques and outranking methods
• MCA, outranking method, Promethee, R, Discrete choice moddelling
• multiple regression, SCE, path analysis, discrete choice models, evaluation techniques
• Well practically all the methods that were discussed did I learned to work with.
• Regression analysis, path analysis, discreate choice models and evaluation techniques.
• Research methods
• DCM, OLS regression, decision analysis