Analysis of mobility patterns at PLUS

Suggested by: Martin Loidl

Short description: In May 2023, we conducted another mobility survey at the University of Salzburg (PLUS) with roughly 1,000 respondents. This rich data set contains information on mobility patterns of students, faculty and staff members. We see differences in daily mobility routines between these groups, but also expect spatial aspects to explains observed patterns. We therefore aim at linking the survey data to spatial, mobility-relevant data. Further, we want to compare the results of the mobility survey at PLUS with the latest, representative mobility survey in Austria.

 

Research for this master thesis should address one or more of the following questions (but is not limited to):

• How can the fully anonymized survey data be analysed in a spatial context? Which models and estimation procedures contribute to new insights?
• Can the spatial setting at the origin and/or destination explain mobility choices?
• Where are the biggest potentials for sustainable mobility?
• In which regards do mobility patterns at PLUS deviate from the general public?

References, suggested reading:

• WHALEN, K. E., PÁEZ, A. & CARRASCO, J. A. 2013. Mode choice of university students commuting to school and the role of active travel. Journal of Transport Geography, 31, 132-142. https://doi.org/10.1016/j.jtrangeo.2013.06.008
• RIBEIRO, P. J. G. & FONSECA, F. 2022. Students’ home-university commuting patterns: A shift towards more sustainable modes of transport. Case Studies on Transport Policy, 10, 954-964. https://doi.org/10.1016/j.cstp.2022.03.009

Start/finish: anytime

Prerequisites/qualifications: Interest in mobility research and advanced spatial analysis. Data management and data analysis skills are ultimately required.
Depending on interest and availability, this master thesis project could be linked to a study assistent position.