Journal article
A comparison of daytime and nighttime pedestrian road-crossing behavior using an immersive virtual environment
Traffic injury prevention, Vol.23(2), pp.97-101
02/17/2022
DOI: 10.1080/15389588.2021.2023738
PMID: 35100060
Abstract
Reduced visibility for both drivers and pedestrians is a key factor underlying the higher risk of vehicle-pedestrian collisions in dark conditions. This study investigated the extent to which pedestrians adjust for the higher risk of road crossing at night by comparing daytime and nighttime pedestrian road crossing using an immersive virtual environment.
Participants physically crossed a single lane of continuous traffic in an immersive pedestrian simulator. Participants were randomly assigned to either the daytime or the nighttime lighting condition. The primary measures were the size of the gap selected for crossing and the timing of crossing motions relative to the gap.
The results showed that there were no significant differences in gap selection or movement timing in daytime vs. nighttime lighting conditions. However, there was a marginal increase in the time to spare after crossing the road when crossing in the dark, likely due to an accumulation of small differences in gap choices and movement timing.
This study suggests that pedestrians do not adjust their road crossing to account for greater risk at night. As such, this study adds to our understanding of the potential risk factors for pedestrian injuries and fatalities in nighttime conditions.
Details
- Title: Subtitle
- A comparison of daytime and nighttime pedestrian road-crossing behavior using an immersive virtual environment
- Creators
- Lakshmi D. Subramanian - University of IowaElizabeth E. O'Neal - University of IowaSophia Mallaro - University of IowaBreanna Williams - University of IowaRini SheronyJodie M. Plumert - University of IowaJoseph K. Kearney - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Traffic injury prevention, Vol.23(2), pp.97-101
- DOI
- 10.1080/15389588.2021.2023738
- PMID
- 35100060
- NLM abbreviation
- Traffic Inj Prev
- ISSN
- 1538-9588
- eISSN
- 1538-957X
- Publisher
- Taylor & Francis
- Grant note
- DOI: 10.13039/100000001, name: NSF; name: Toyota Collaborative Safety Research Center (CSRC).
- Language
- English
- Date published
- 02/17/2022
- Academic Unit
- Psychological and Brain Sciences; Driving Safety Research Institute; Nursing; Injury Prevention Research Center; Computer Science; Community and Behavioral Health
- Record Identifier
- 9984259419902771
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