Smartphone-generated behavior data in traffic - Differentiating the user behavior of different cyclist groups
Within our project “Smartphone-based behavior data in bicycle traffic” we have already proven the high potential of GPS data for the planning practice. However, it has also become apparent that the GPS data does not convey sufficiently detailed information about the cycling behavior of different socioeconomic groups. While GPS mass data and hence the aggregated behavior of all involved users is available, information about single users’ behavior is missing.
The goal of the project we conduct in cooperation with the Chair of Traffic and Transportation Psychology is creating a typology of cyclists based on a comprehensive field study on the cycling behavior of different socioeconomic user groups. Furthermore, a large, heterogeneous group of study participants is being equipped with devices to record their cycling routes. This proceeding enables us to identify preferences of single groups, e. g. regarding speed, route length or selection. The detailed analyses of different socioeconomic characteristics as well as their interpretation are lastly yielding valuable information from which guidance for the planning process of bicycle infrastructure in communities can be derived.
FUNDING
The project is funded by the Federal Ministry of Transport and Digital Infrastructure (BMVI) within the 2020 National Cycling Plan.
LEADERSHIP
- Prof. Dr-Ing. Udo J. Becker
- Dipl.-Ing. Sven Lißner
RESEARCHERS
- Dipl.-Ing. Wolfram Schmidt
- Dipl.-Verk.wirtsch. Angela Francke (Professur für Verkehrspsychologie)
TERM
- 07/2017 to 06/2019
