ABSTRACT
Data and data collection must relate to the aims and interests of the research. Is the interest, for example, to map out intersecting inequalities of transport modalities at the national or the city level and the effects on gender, age, and class? Or is the analysis intended to locate finer grained everyday cultural and social differences and practices? Both questions and interests are relevant, but in order to provide adequate answers, different research methods will be appropriate. For the issue of mapping the effects of transport modes and modalities, macro-analysis and the use of big data sets will obviously be the most feasible approach. The chapter demonstrates how relevant knowledge can be extracted from existing transport surveys and points to the gaps in current data provisions. In the last section, we demonstrate how images can be used as data material and how to do visual analysis of smart mobility. And we broaden the scope into and show how practices and the preferences of various groups can be studied through mixed methods and micro-analysis using images, interviews, and observations.
