New Publication by Beat Hintermann, Jakob Roth, Laura Schwab et al. in Transportation
"The e-biking in Switzerland (EBIS) study: methods and dataset"
Heinonen, S., Meyer de Freitas, L., Meister, A., Schwab, L., Roth, J., Hintermann, B., Götschi, T. and Axhausen, K.W. (2024). The E-Biking in Switzerland (EBIS) Study: Methods and Dataset. Transportation https://doi.org/10.1007/s11116-024-10552-y
Abstract
This article presents the EBIS (e-Biking in Switzerland) study, including its methodology, the resulting dataset, and an initial descriptive analysis of the population surveyed. The EBIS study is a Switzerland-wide GPS-tracking study with the aim of investigating the scope of carbon savings in the transport sector due to e-biking. Participants consisted of cyclists and e-bikers across the French- and German-speaking regions of Switzerland. In addition to extensive GPS tracking, the study included a randomized controlled trial (RCT) on transport pricing’s role in substituting e-bike trips for car trips, a retrospective survey on mode shift, and a stated preference survey on cycling infrastructure preferences. We here report participant attrition and engagement rates and compare the EBIS population to the 2021 Swiss Mobility and Transport Microcensus (MTMC) in terms of socio-demographic characteristics and travel behavior. In doing so, we present a unique dataset of 3,940 participants, 324 thousand user-days of tracking data, and over half a million stages by bike or e-bike.