Data underlying the publication: Nudging pedestrian walking dynamics using light intensity and color

This dataset contains data collected during a Virtual Reality experiments at Delft University of Technology. The experiments took place 15 May 2024 until 2 June 2024. In this study, we studied whether light can be used to `nudge' pedestrians' operational walking dynamics. Specifically, we aimed to determine the extent to which light intensity and light color influence the average walking speed of pedestrians. Six light conditions are tested in a VR experiment: regular white light (approx. 100 lux), dark (approx. 1 lux), bright (approx. 300 lux), blue, green, and red light. This study concludes that A) the average walking speed decreases in darker light (10.4\%) conditions and increases in brighter light (7.7\%) or colored (2.8\%-8\%) conditions. In addition, pedestrians decelerate more slowly and cautiously in dark light conditions, while the acceleration and deceleration profile do not significantly change for bright, blue, green, and red light conditions. <br>In addition, this study assessed whether a wireless HMD can be used to study pedestrians' average walking dynamics because a relatively new type of VR simulator was adopted. The validation analysis concludes that VR experiments featuring wireless HMD and open-plan movements overestimate step time (+7.5\%) and step length (+12.8\%) and underestimate the average walking speed (-22.8\%). In addition, we find that relative trends regarding the impact of socio-demographic characteristics on the mean of the three analyzed metrics can, in most cases, be reproduced. <br>This dataset is being made public both to act as supplementary data for publications and in order for other researchers to use this data in their own work.

本数据集包含代尔夫特理工大学（Delft University of Technology）虚拟现实（Virtual Reality，VR）实验期间采集的相关数据。本次实验于2024年5月15日至2024年6月2日期间开展。本研究旨在探究是否可通过光线“微调”行人的步行行为动态，具体而言，旨在明确光照强度与光色对行人平均步行速度的影响程度。实验中共设置六种光照条件：常规白光（约100勒克斯（lux））、暗光（约1勒克斯（lux））、亮光（约300勒克斯（lux））、蓝光、绿光与红光。本研究得出如下结论：A）暗光环境下行人平均步行速度下降10.4%，亮光环境下平均步行速度提升7.7%，有色光环境下则提升2.8%~8%。此外，行人在暗光环境下减速更为平缓且谨慎；而亮光、蓝、绿、红光环境下，行人的加减速曲线无显著变化。
此外，鉴于本次研究采用了较为新型的虚拟现实模拟器，本研究还评估了无线头戴式显示器（Head-Mounted Display，HMD）能否用于研究行人的平均步行动态特征。验证分析结果显示，搭载无线头戴式显示器且支持开放式行走的虚拟现实实验，会高估步时（+7.5%）与步幅（+12.8%），同时低估平均步行速度（-22.8%）。此外，研究发现，在大多数情况下，社会人口学特征对三项分析指标均值的影响趋势可被复现。
本数据集公开发布，既可作为学术出版物的补充数据，也可供其他研究人员在其研究工作中使用。