Data and Code for master 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

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.