Mobility and GNSS-route data from a smartphone app-based travel survey from Berlin and Dresden (Städte in Bewegung 2025)
Contributing person | Müller-Pfefferkorn, Ralph | |
Contributing person | Lauber-Rönsberg, Anne | |
Contributing person | Syckor, Jens | |
Contributing person | Shulga-Morskaya, Tatiana | |
Contributing person | Beyer, Oliver | |
Contributing person | Luckmann, Judith | |
Contributing person | Heinrich, Philipp | |
Additional geographical or spatial references | Berlin | |
Additional geographical or spatial references | Dresden | |
Countries to which the data refer | GERMANY | |
Description of the data | CSV: 7,11 GB (entire dataset, whereof 6,62 GB are related to geo-referenced data) not available for public use, Requests for the release of data to researchers are expected to be handled via the following DDtrust web service from September 2026 onward: https://dd-trust.zih.tu-dresden.de/msp-main/ | |
Type of the data | Dataset | |
Total size of the dataset | 208446 | |
Author | Weber, Johannes | |
Author | Hubrich, Stefan | |
Author | Díaz Cordero, Manuel | |
Author | Noroozi, Vahid | |
Author | Wübbenhorst, Jonas | |
Author | Krombach, Jonas | |
Author | Gerike, Regine | |
Upload date | 2026-06-02T13:06:11Z | |
Publication date | 2026-06-02T13:06:11Z | |
Data of data creation | 2026-02-28 | |
Publication date | 2026-06-02 | |
Abstract of the dataset | These datasets are dedicated to non-commercial research purposes in the areas of mobility research, urban and transport planning, and geoinformation upon authorized request. Given the fact that the datasets contain personal data, only authorized research institutions in Germany can be granted full access. More information on data request can be found at https://dd-trust.zih.tu-dresden.de/msp-main/. Datasets can be provided as SAV or CSV files, collectively forming the StiB database of persons and their travel behavior, based in the cities of Berlin and Dresden, who have given their broad consent for scientific data reuse of pseudonymized data—referred to as the StiB Broad Consent Database. The database is hierarchical and consists of four interconnectable levels: 1) 1 dataset containing socio-demographic information about the participants as well as information about their participation in the survey (person level), 2) 1 dataset containing collected days per person with travel estimates, calendar details, participation duration and user validation status (day level), 3) 1+1 datasets with the collected trips per person and day with e.g. trip duration, distance, purpose and data quality criteria—extendable with a geo-referenced dataset containing start and end coordinates of the trips using WGS84 / EPSG:4326 (trip level) 4) 1+2 datasets with collected app items from the mobility diaries per person, day and trip with e.g., route/stay duration, distance, stay purpose and data quality criteria—extendable with two separate geo-referenced datasets containing information on route and stay geometry using WGS84 / EPSG:4326 (storyline level) The StiB Broad Consent Database is based on collected data from the StiB-app and related online questionnaires. These data have been post-processed by MSP and unified into one database, formatted according to the standardized structure above, from data collections in Berlin and Dresden. | |
Public reference to this page | https://opara.zih.tu-dresden.de/handle/123456789/2462 | |
Public reference to this page | https://doi.org/10.25532/OPARA-1315 | |
Publisher | Technische Universität Dresden | |
Licence | CC0 1.0 Universal | en |
URI of the licence text | http://creativecommons.org/publicdomain/zero/1.0/ | |
Specification of the discipline(s) | 4::45::410 | |
Title of the dataset | Mobility and GNSS-route data from a smartphone app-based travel survey from Berlin and Dresden (Städte in Bewegung 2025) | |
Research instruments | travel survey app “StiB: Städte in Bewegung” and online questionnaires | |
Project abstract | With "Städte in Bewegung: Understanding mobility – Shaping the future", the research team at the Chair of Mobility System Planning (MSP) at TUD Dresden University of Technology aimed to better understand current mobility trends among people in Berlin and Dresden. The focus was on all forms of mobility—by car, by public transport, by bicycle, on foot or with new forms of mobility. Participants were mainly recruited via a probability sample from the cities’ population registers by sending out letters by post. In addition, there was an open sample, in which participants mainly joined the data collection via advertisement on social media. Travel behavior was collected as part of the DFG-funded "Research Training Group 2947" using the smartphone app "StiB: Städte in Bewegung" (Cities in Motion, also referred to as StiB-app), which was developed specifically for the research project. The app was programmed by the German software company motiontag GmbH. Thanks to the BMBF-funded research project "DDtrust-scale", a subset of the collected data is available for non-commercial scientific reuse in the areas of mobility research, urban and transport planning, and geoinformation. | |
Public project website(s) | https://dd-trust.zih.tu-dresden.de/msp-main/ | |
Public project website(s) | https://tu-dresden.de/in-bewegung | |
Project title | Städte in Bewegung (StiB): Understanding Mobility – Shaping the Future |
Files
Original bundle
- Name:
- Readme.pdf
- Size:
- 195.84 KB
- Format:
- Adobe Portable Document Format
- Description:
- This readme file briefly describes the smartphone-based data collection and how the data subset has been made available for authorized non-commercial scientific reuse in specific research areas. Besides that, the data structure is presented and explained.
- Name:
- StiB_Broad_Consent_Testdata.zip
- Size:
- 3.87 KB
- Format:
- Description:
- This sample contains fictional test data, including geo-references, that can be downloaded. They were generated for illustrative purposes and should therefore be used for guidance only
License bundle
- Name:
- license.txt
- Size:
- 3.86 KB
- Format:
- Item-specific license agreed to upon submission
- Description:
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