Mobility data sets
Datasets
Details
Description
The MOBIS-Covid19 dataset captures changes in daily mobility behavior during the COVID-19 pandemic. Data were collected using the GPS tracking application, Catch-my-Day, to analyze variations in movement patterns and transportation use.
Data accessibility
- Codebook
- Survey data, trip-legs, OD: On request
Contact
Daniel Heimgartner: daniel.heimgarter@ivt.baug.ethz.ch
Details
Description
The TimeUSE+ dataset focuses on understanding and improving transport systems within urban agglomerations in Switzerland. It is designed to capture detailed information on daily mobility patterns using GPS tracking on personal smartphones.
Data accessibility
- Metadata
- Pretest: Anonymized data
- Main study: Anonymized data
- Survey data, trip-legs, OD: On request
Contact
Daniel Heimgartner: daniel.heimgarter@ivt.baug.ethz.ch
Details
Description
We provide a geo-referenced dataset containing the information of mobility, driving energy requirement and charging patterns of representative agents, moving by passenger-car, across Switzerland. We provide information for a typical weekday, Saturday and Sunday. And for 4 typical weather periods within a year.
Data accessibility
- CSV: On request
Contact
Maria Parajeles Herrera: mparajele@ethz.ch
Details
Description
This repository contains the Zurich Transit Bus (ZTBus) dataset, which consists of data recorded during driving missions of electric city buses in Zurich, Switzerland. The data was collected over several years on two trolley buses as part of multiple research projects. It involves more than a thousand missions spanning across all seasons, each mission usually covering a full day of real operation. The ZTBus dataset contains detailed information on the vehicle’s power demand, propulsion system, odometry, global position, ambient temperature, door openings, number of passengers, dispatch patterns within the public transportation network, etc. All signals are synchronized in time and include an absolute timestamp in tabular form.
Data accessibility
Contact
Prof. Christopher Onder: onder@idsc.mavt.ethz.ch
Fabio Widmer: fawidmer@idsc.mavt.ethz.ch
Details
Description
The Swiss Mobility Panel examines mobility behavior in Switzerland, its changes over time and the connection with attitudes towards environmental policy measures in the transport sector. It places a particular focus on the political feasibility of public policy in the transport sector. The Swiss Mobility Panel is based on a representative sample of the Swiss resident population over 18 years of age, provided by the harmonized population registry of the Swiss Federal Statistical Agency (Bundesamtes für Statistik, BFS/SRPH). This sample includes the full resident population, Swiss and non-Swiss nationalities. Respondents are invited with a letter in the main language of their municipality. The survey can be taken electronically in German, French, Italian or English via an online platform. The project is a panel study, i.e. the same persons are surveyed repeatedly. The project conducts two survey rounds per year.
Data accessibility
Contact
Florian Lichtin: florian.lichtin@istp.ethz.ch
Details
Description
In the context of an autonomous shuttle service trial operating on public road-space in Switzerland, a mode choice experiment was carried out with a random sample of 773 potential users. Participants were presented with options to choose between a rental bike, walking, and the autonomous bus under varying conditions of cost, travel time, occupancy, and weather. The effect of technology commitment on mode choice behavior was studied based on attitudinal survey items related to technology acceptance, control, and competence, which were integrated into a latent variable model.
Data accessibility
Contact
Michael Wicki: wimi@ethz.ch
Details
Description
The dataset was collected through an online survey conducted by IPSOS with a representative sample of 2,034 Swiss citizens. Quota-based sampling was employed to ensure the sample was representative in terms of gender, age group, region, and living situation (urban versus rural). The survey began with demographic questions, followed by inquiries into the participants' mobility behavior. Participants were then randomly assigned to one of two policy frames: promoting electric vehicles or reducing emissions from cars, to examine potential framing effects on policy support.
Data accessibility
Contact
Michael Wicki: wimi@ethz.ch
Details
Description
The dataset was gathered using choice experiments to explore public support for policy packages aimed at making the transportation sector more sustainable. It includes representative samples from three countries: China, Germany, and the USA, with a total of 4,876 participants. The study examines how different combinations of policy measures affect public support and the feasibility of implementing these measures.
Data accessibility
Contact
Michael Wicki: wimi@ethz.ch
Details
Description
In this study, the effect of variation in spatial mobility, mediated by place attachment, on residents' preferences concerning municipal reforms, particularly the upscaling of jurisdictional territories, is examined. The analysis is based on data obtained from a two-stage survey with a representative sample of 1,506 adult residents from the Canton of Zurich, the most populous Swiss subnational unit. Individuals' spatial mobility was measured by calculating the individual social (network) geography for each study participant, and its relationship to preferences concerning municipal reforms was examined.
Data accessibility
Contact
Michael Wicki: wimi@ethz.ch
Details
Description
Real-world vehicle data (v, rpm, temperatures, GPS, energy consumption, etc.) from 5 vehicles (main powertrain technologies) for >1 year.
Data accessibility
- Raw and analyzed data: On request
Contact
Miriam Elser: miriam.elser@empa.ch
Details
Description
Laboratory (chassis dyno) measurement of exhaust emissions and energy consumption of passenger cars (yearly 3-5 vehicles, ICE and PHEV)
Data accessibility
- Raw and analyzed data: On request
Contact
Miriam Elser: miriam.elser@empa.ch
Details
Description
Sensor data from real-world tests at Empa test track Sensor data (lidar, radar, camera) from real-world scenario-based investigations at Empa test track under different environmental conditions.
Data accessibility
- Raw data: On request
Contact
Miriam Elser: miriam.elser@empa.ch
Details
Description
GPS Tracking dataset (139 participants) with transport mode and activity labels. Collected in collaboration with SBB to analyze mobility behaviour changes induced by a new mobility offer called “Green Class”, where people got an EV and a GA. Tracking data was collected over one year.
Data accessibility
- Dataset: Surveydata, trip-legs, OD data OR
- Final report
Contact
Nina Wiedemann: nwiedemann@ethz.ch
Details
Description
GPS Tracking dataset (50 subjects) with transport mode and activity labels. Collected in collaboration with SBB to analyze mobility behaviour changes induced by a new mobility offer called “Green Class”, where people got an e-bike and a GA. Tracking data was collected over one year.
Data accessibility
- Dataset: Surveydata, trip-legs, OD data OR
- Final report
Contact
Nina Wiedemann: nwiedemann@ethz.ch
Details
Description
Videos collected while cycling through streets of Zurich.
Data accessibility
Contact
Ye Hong: hongy@ethz.ch
Details
Description
CAN bus data (energy/fuel consumption, rpm, v) and GPS data from 600 vehicles (ICE, EV and PHEV) over 1 year.
Data accessibility
- Raw data: On request
Contact
Miriam Elser: miriam.elser@empa.ch
Data abbreviations
- OR: On request
- NA: Not available
Regions / Countries
- CH: Switzerland
- CN: China
- DE: Germany
- US: The United States of America
- ZH: Canton of Zurich, Switzerland
Data types
If you are interested in adding your mobility data to our list please contact us.
Contact
CSFM
Universitätstrasse 41
8092
Zürich
Switzerland