Data underlying the publication: Studying the impact of lighting on the pedestrian route choice using Virtual Reality

doi:10.4121/1996cc69-6558-4dc5-97ea-f7abc0faf3f3.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/1996cc69-6558-4dc5-97ea-f7abc0faf3f3
Datacite citation style:
van Beek, Arco; Feng, Yan; Duives, Dorine; Hoogendoorn, S.P.(Serge) (2024): Data underlying the publication: Studying the impact of lighting on the pedestrian route choice using Virtual Reality. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/1996cc69-6558-4dc5-97ea-f7abc0faf3f3.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

This dataset contains data collected during a Virtual Reality experiments at Delft University of Technology, as part of Arco van Beek's PhD project. The objective of this research is to study whether pedestrian route choice is influenced by ambient lighting. Thus, participants of our VR study had to make 20 choices at T-intersections, where we varied the lighting condition on both paths. These 20 decisions of each individual pedestrian are the core of this dataset; the choices are extracted from their trajectory data (which itself is collected automatically by the VR software). The dataset consists of two .csv files; one related to variation in light intensity, and the other related to variation in light color.


history
  • 2024-11-14 first online, published, posted
publisher
4TU.ResearchData
format
csv
funding
  • Netherlands Organisation for Scientific Research (grant code 023.004.015) Netherlands Organisation for Scientific Research
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Transport and Planning

DATA

files (3)