Mobility data sets

Datasets

MOBIS-Covid19, 
GPS tracking data (trip-legs, OD data), 
CH, 
2019-2023, 
IVT-ETHZ, 
Data OR, 
3.6 GB, 
CSV
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


TimeUse+, 
GPS tracking data (trip-legs, OD data), 
CH, 
2021-2022, 
IVT-ETHZ, 
Data OR, 
180 MB, 
CSV
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

Contact

Daniel Heimgartner: daniel.heimgarter@ivt.baug.ethz.ch


Passenger-car mobility, energy and charging requirements, 
Geo-referenced driving, energy requirement and charging patterns data, 
CH, 
No date, 
PSL-ETHZ, 
Data OR, 
Documentation NA, 
5 GB, 
CSV
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


ZTBus: A Large Dataset of Time-Resolved City Bus Driving Missions, 
Bus information including position, ambient temperature, door openings, number of passengers, 
CH, 
2019-2022, 
IDSC-ETHZ, 
11 GB, 
CSV
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


Swiss Mobility Panel (SMP), 
Mobility behavior connection with attitudes towards environmental policy measures, 
CH, 
2020-2024, 
ISTP-ETHZ, 
Data OR, 
2-15 MB, 
CSV
Dta
Rdata
SAV
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


How Technology Commitment Affects Mode Choice for a Self-Driving Shuttle Service, 
Mode choice data between a rental bike, walking, and the autonomous bus, 
CH, 
2018-2019, 
ISTP-ETHZ, 
Documentation NA, 
? GB, 
CSV
Rdata
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


Impact of Policy-Packaging on Public Support: Choice Experiment on Vehicle Emissions Policies, 
Survey data including demographic and mobility behavior questions, 
CH, 
2017, 
ISTP-ETHZ, 
Documentation NA, 
0.2 MB, 
Rdata
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


Politically Feasible Policy-Packages for Sustainable Passenger Transport: Choice Experiments in China, Germany, and the USA, 
Choice experiments assessing public support for sustainable transportation policies, 
CN/DE/US, 
2018, 
ISTP-ETHZ, 
Documentation NA, 
2.6 MB, 
Rdata
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


Does variation in residents’ spatial mobility affect their preferences concerning local governance, 
Spatial mobility's impact on municipal reform preferences, 
ZH, 
2017, 
ISTP-ETHZ, 
Documentation NA, 
0.1 MB, 
Rdata
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


ES-Mobil Red Project, 
Content description NA, 
CH, 
2016-2019, 
Vehicle Systems Group - EMPA, 
Data OR, 
Documentation NA, 
75 GB, 
TXT
MAT
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


Emission factors project, 
Content description NA, 
CH, 
2006-2024, 
Vehicle Systems Group - EMPA, 
Data OR, 
Documentation NA, 
1 GB, 
TXT
MAT
XLSX
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


Autonomous driving project, 
Content description NA, 
ZH, 
2019-2021, 
Vehicle Systems Group - EMPA, 
Data OR, 
Documentation NA, 
760 GB, 
ROS.bag
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


Green Class 1, 
Content description NA, 
CH, 
2017-2018, 
GIS-ETHZ and SBB, 
Data OR, 
Documentation NA, 
9.1 GB, 
CSV
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

Contact

Nina Wiedemann: nwiedemann@ethz.ch


Green Class 2, 
Content description NA, 
CH, 
2017-2018, 
GIS-ETHZ and SBB, 
Data OR, 
Documentation NA, 
2.45 GB, 
CSV
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

Contact

Nina Wiedemann: nwiedemann@ethz.ch


Zurich Cycling Street Videos, 
Content description NA, 
Zurich, 
2024, 
GIS-ETHZ, 
Data
300 GB, 
NA
Details

Description

Videos collected while cycling through streets of Zurich.

Data accessibility

Contact

Ye Hong: hongy@ethz.ch


V-Drive, 
Content description NA, 
CH, 
2025, 
Vehicle Systems Group - EMPA, 
Data OR, 
Documentation NA, 
? GB, 
SQLite
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

CSV: Comma seperated values
Dta: Stata™ data file
NA: Unkown datatype
MAT: Matrix file format for MATLAB
ROS.bag: ROS message data
Rdata: File for R Statistical Computing
SAV: File for SPSS Social Sciences
SQLite: Lightweight SQL database file
TXT: Text
XLSX: Microsoft Excel open XML format spreadsheet file

If you are interested in adding your mobility data to our list please contact us.

Contact

Dr. Stefan Ivanovic
Lecturer at the Department of Civil, Environmental and Geomatic Engineering
  • UNO D 11
  • +41 44 632 06 97

CSFM
Universitätstrasse 41
8092 Zürich
Switzerland

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