Short description: Bicyclists are more exposed to temperature, precipitation and wind than public transit passengers or car drivers. Thus, we can hypothesize that weather and seasonal effects impact the number of bicyclists. In a previous study we investigated the attitude of bicyclists toward winter cycling (see http://gimobility.sbg.ac.at/paper_uploads/umfrage_winterradfahren.pdf for a report in German language). We are now interested in the spatial, temporal and spatio-temporal correlations between weather and bicycle counting data. Moreover, causalities that explain potential correlations should be investigated through surveys and/or qualitative research.
We can provide data from permanent counting stations in Salzburg in close to real-time and weather data in very high resolution. Alternatively, available data from other cities can be used as wel. The master thesis project is aimed to be integrated in the research efforts of the GI Mobility Lab.
References, suggested reading:
- BÖCKER, L., DIJST, M. & PRILLWITZ, J. 2013. Impact of Everyday Weather on Individual Daily Travel Behaviours in Perspective: A Literature Review. Transport Reviews, 33, 71-91.
- ORCORAN, J., LI, T., ROHDE, D., CHARLES-EDWARDS, E. & MATEO-BABIANO, D. 2014. Spatio-temporal patterns of a Public Bicycle Sharing Program: the effect of weather and calendar events. Journal of Transport Geography, 41, 292-305.
Prerequisites/qualifications: Profound skills in data management and processing. Statistical knowledge.