The Role of Transport Policies and Technologies in Shaping Urban Mobility Cultures: a Machine Learning Approach

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About

This PhD thesis objective is to map and obtain a better understanding of the role of transport policies and technologies in shaping urban mobility cultures and mobility transitions across Europe. For this, European cities will be clustered with open data (demographic indicators, transport infrastructure and land use), and key urban feature changes will be related. Also, transport policies and technologies will be investigated in its contribution to the transition of urban mobility culture.

Details

Topic

Theoretical Approaches & Conceptualization

University

Danmarks Tekniske Universitet

Location

Kongens Lyngby, Denmark

Status for application

Open

Application Deadline

May 31, 2025

Expected incorporation

Sept. 2025

Work package

3

Danmarks Tekniske Universitet

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. 

Candidate background

  • MSc background in Social Data Science, Computer Science or related areas. 
  • Experience with machine learning, including deep learning.
  • Knowledge about human behaviour, social sciences or psychology.

Main Supervisor

Carlos Lima Azevedo

Carlos Lima Azevedo’s main research interests are the mathematical modelling and simulation of human mobility, new mobility services, and the modelling, development, and assessment of new technologies in mobility systems. He combines fundamental methods from individual choice theory, machine learning and simulation. He is with the Transport Science Division at the Technical University of Denmark where he heads the M.Sc. program in Transport and Logistics, and with the Massachusetts Institue of Technology as Research Affiliate.

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Co-Supervisor

Sonja Haustein

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.

Contact

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