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）开展的虚拟现实（Virtual Reality）实验所采集的数据，实验时段为2024年5月15日至2024年6月2日。本研究旨在探究光线能否用于“助推”行人的步行运动动态，具体目标是明确光照强度与光色对行人平均步行速度的影响程度。实验在虚拟现实环境中设置了六种光照条件：常规白光（约100勒克斯）、暗光（约1勒克斯）、亮光（约300勒克斯）、蓝光、绿光及红光。本研究得出如下结论：其一，行人平均步行速度在暗光环境下降低10.4%，在亮光环境下提升7.7%，或在有色光环境下提升2.8%至8%。此外，行人在暗光环境下的减速过程更为平缓谨慎；而亮光、蓝光、绿光及红光环境下的加减速曲线无显著变化。<br>此外，鉴于本次实验采用了较为新型的虚拟现实模拟器，本研究同时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。验证分析结果显示，搭载无线HMD且支持开放式空间移动的虚拟现实实验，会高估步时（+7.5%）与步长（+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。<br>本数据集现已公开，一方面可作为相关出版物的补充数据，另一方面可供其他研究人员将其应用于自身研究工作。