The e-biking in Switzerland (Ebis) study
Methods and dataset
Bibliographic Data
| ID | 19339602 |
|---|---|
| Authors | Sanelma Heinonen (ETH Zurich), Lucas Meyer de Freitas (0000-0002-0280-8914, ETH Zurich, corresponding author), Adrian Meister (0000-0002-3350-9044, ETH Zurich), Laura Schwab (0000-0001-6774-5603, University of Basel), Jakob Roth (0000-0002-8873-8215, University of Basel), Beat Hintermann (0000-0002-8078-636X, University of Basel), Thomas Götschi (0000-0002-1202-7863, University of Oregon), Kate Axhausen (0000-0003-3331-1318, ETH Zurich), Kay Axhausen |
| Year | 2024 |
| Publication date | 2024-12-07 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Transportation (JOURNAL) |
| Journal identifiers | ISSN: 0049-4488 • E-ISSN: 1572-9435 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11116-024-10552-y |
| OpenAlex | W4405138412 |
| Language | EN |
| Citations received | 2 |
| References cited | 35 |
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
Attrition · Descriptive statistics · Geography · German · Global Positioning System · Population · Sociology · Statistics · Telecommunications · Tracking (education) · Transport engineering · Travel behavior · TRIPS architecture · Computer Science · Demography · Engineering · Human Mobility and Location-Based Analysis · Medicine · Psychology · Transportation Planning and Optimization · Urban Transport and Accessibility
A randomized controlled trial in travel demand management
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| Unique citing works | 2 |
|---|---|
| Citations per year | 2 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |