The aim of this research is to gain a deeper understanding of the role that music and lyrics play in shaping urban mobility cultures and promoting sustainable mobility transitions. The study will use Natural Language Processing (NLP) and qualitative analysis to explore how different transport modes and urban forms are represented in song lyrics, considering factors such as language, region, and music genre. Furthermore, the research will examine the role that music plays in influencing mobility cultures and driving related transitions, offering insights into how music can contribute to shaping societal perceptions of urban mobility.
DTU is a public technical university under the Danish Government and the leading technical university in Scandinavia. The Department of Technology, Management and Economics (DTU Management) conducts excellent research at the intersection of management, technology and economics. Our research aims at strengthening welfare, productivity and sustainability within the society. The department offers a wide range of courses and programs at bachelor, master, and PhD levels across DTU's study programs. The Department has about 200 employees, including ca. 70 PhD students from various disciplinary backgrounds. In DTU Management’s Transportation Science Division researchers have backgrounds in mathematical modelling, machine learning and computer science, economics, psychology, and transport engineering. Our specific focus areas are green transport, electric cars and charging infrastructure, planning and optimisation of public transport and bicycle traffic.
Requirements to be admitted in the doctoral programme can be consulted here.
Sonja Haustein is a psychologist and Professor in Human Bahaviour at DTU’s Transportation Science Division. Her research aims at understanding and predicting transport behaviour to provide a better basis for interventions toward green, safe, healthy and inclusive transport. Her research areas include travel socialisation, mobility culture, user segmentation, and the acceptance and impacts of new transport technologies and services.
Filipe Rodrigues is an associate professor at the Technical University of Denmark (DTU), where his research is primarily focused on machine learning models for understanding and optimizing urban mobility and human behaviour. Filipe holds a PhD from University of Coimbra (Portugal), during which he worked on probabilistic models for learning from crowdsourced data.
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