A New Approach to Determine Cycling KPIs in the Context of Behavioral Data

Abstract

The Corona pandemic has brought a great change in the mobility sector especially in European countries. As a consequence many cities invested much more budget in bike infrastructure than before while the percentage of people using bicycle as the mode of transport for every day routine has been rapidly increased at many places . Available data on cycling use, traffic safety etc. can support the decision making process. We dont't know much about distraction and stress factors when using the bike in a city because such kind of data was not available until now. In the beginning of this paper we present the current state-of-the-art in field of cycling KPIs. What is new in the cycling research domain are cycling KPIs that consider behavioral data. A set of new KPIs in this specific field are introduced in this contribution. As part of the SmartHelm project EEG, eyetracking and GPS data of cargo bike riders was collected and processed. The paper describes the preliminary results obtained from implementing the methodology to calculate behaviour based new cycling KPIs. The conclusion states how the KPIs can be applied in various fields and how it can be adjusted and expanded in the future to the specific stakeholder requirements.