2026-06-05T07:38:26Z https://researchdata.tuwien.ac.at/oai2d

oai:researchdata.tuwien.ac.at:efmdt-6zc67 2026-05-15T18:54:02Z community-mobres openaire_data

4.3 TUW.TUDATA 10.48436/efmdt-6zc67 oai:researchdata.tuwien.ac.at:efmdt-6zc67 Binder, Katharina Theresa Katharina Theresa Binder 0009-0005-7764-8619 TU Wien TU Wien 2026 road markings right of way traffic safety Austria survey data active mobility urban planning R crossing facilities for cyclists and pedestrians non-signalised junctions safety perception right-of-way comprehension traffic planning vulnerable road users Brezina, Tadej Tadej Brezina 0000-0003-4865-9472 TU Wien Leth, Ulrich Ulrich Leth 0000-0002-1700-6279 TU Wien Emberger, Günter Günter Emberger 0000-0002-4703-8327 TU Wien Brezina, Tadej Tadej Brezina 0000-0003-4865-9472 TU Wien 2026-05-15 2026-05-15 2026-05-15 eng 10.48436/d3mp4-4am54 https://researchdata.tuwien.ac.at/communities/mobres/ 1.0.0 Creative Commons Attribution 4.0 International GNU General Public License v3.0 or later Description This repository contains the anonymised survey data and R analysis scripts for the Master's thesis "Assessment of road markings at crossing facilities for cyclists and pedestrians regarding right-of-way comprehension and safety perception at non-signalised junctions in Austria" (TU Wien, 2026). Context and methodology The dataset was created as part of a Master's thesis in civil engineering at TU Wien, Research Unit of Transport Planning and Traffic Engineering. The data is based on a survey that examined how road users (cyclists, pedestrians, and car drivers) understand right-of-way rules and perceive safety at non-signalised junctions in Austria depending on the type of road markings present. Respondents were shown 3D visualised images of crossing scenarios from the perspective of a car driver, a cyclist or a pedestrian and asked whether they had right of way and how safe they felt. The survey was conducted online and distributed in Austria. For further details on the survey structure, please refer to the master thesis (see related works).  Technical details The repository contains three versions of the anonymised dataset (RDS, SAV/SPSS, CSV) and a set of R scripts for the full analysis pipeline. The R scripts require R ≥ 4.3 and the packages listed in the README. Moreover, the README contains any relevant info to run the code, contact infos, citation and licence details. The main entry point is main.R, which sources all analysis scripts in order. Output figures are written to output/figures/ and tables to output/tables/. A bilingual codebook (German and English; input/bilingual_codebook.csv) documents all variable names and factor levels and aids as translation aid for the German questionnaire into English. The CSV format strips SPSS metadata; the bilingual-codebook should be consulted when using it.  Further details Raw response data including IP addresses, email addresses, and open-text fields were processed and anonymised prior to publication. Only the anonymised dataset is included. Code is licensed under GPL-3.0-or-later; data are licensed under CC-BY-4.0.