Visual-Guidance Interventions for Child Pedestrian Behavior: An Empirical Study Employing Multimodal Experiments

As urbanization accelerates, children’s safety when crossing urban streets has become an increasingly prominent concern. However, current street designs and visual guidance facilities are largely configured around adult users and tend to overlook children’s distinct cognitive and perceptual characteristics. In this study, we used seven virtual reality (VR) street-crossing scenarios and combined questionnaires, eye tracking, and motion capture to evaluate how five types of visual guidance elements—Footprint (stop) markings and Traffic bollard, Color-Coded Arrows, Look left markings, Tactile Paving Patterns, and Stop line—affect children’s street-crossing behavior. The results show that Footprint (stop) markings and Traffic bollard clearly enhance children’s Stopping–Scanning Awareness, prompting them to slow down and briefly pause within the decision zone. The Look left markings provide only limited cues for Left–Right Scanning in both adults and children. Tactile Paving Patterns and Color-Coded Arrows effectively attract children’s visual attention, but may weaken their judgement of street-crossing risk. The Stop line strengthens the visual boundary and increases environmental monitoring awareness among all participants; however, this study did not observe a clear improvement in Gait variability. By extending theories of children’s traffic behavior, this study also highlights that some facilities labeled as “child-friendly” may be over-designed or cognitively misaligned with children’s actual perceptual and decision-making processes. These findings provide empirical evidence for optimizing street facilities and for developing related technical standards and public policies.

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Publication Details

Journal
Applied Sciences
Published
2025-12-08
DOI
https://doi.org/10.3390/app152412919
Primary Topic
Safety Warnings and Signage
Type
article
Field-Weighted Citation Impact
0.00

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article

Visual-Guidance Interventions for Child Pedestrian Behavior: An Empirical Study Employing Multimodal Experiments

Xinyu Zhang, Shimeng Hao, Bingmiao Zhu, Wenjie Peng et al.
Applied Sciences
Safety Warnings and Signage
article

Visual-Guidance Interventions for Child Pedestrian Behavior: An Empirical Study Employing Multimodal Experiments

Xinyu Zhang, Shimeng Hao, Bingmiao Zhu, Wenjie Peng, Jing Quan
article en

Abstract

As urbanization accelerates, children’s safety when crossing urban streets has become an increasingly prominent concern. However, current street designs and visual guidance facilities are largely configured around adult users and tend to overlook children’s distinct cognitive and perceptual characteristics. In this study, we used seven virtual reality (VR) street-crossing scenarios and combined questionnaires, eye tracking, and motion capture to evaluate how five types of visual guidance elements—Footprint (stop) markings and Traffic bollard, Color-Coded Arrows, Look left markings, Tactile Paving Patterns, and Stop line—affect children’s street-crossing behavior. The results show that Footprint (stop) markings and Traffic bollard clearly enhance children’s Stopping–Scanning Awareness, prompting them to slow down and briefly pause within the decision zone. The Look left markings provide only limited cues for Left–Right Scanning in both adults and children. Tactile Paving Patterns and Color-Coded Arrows effectively attract children’s visual attention, but may weaken their judgement of street-crossing risk. The Stop line strengthens the visual boundary and increases environmental monitoring awareness among all participants; however, this study did not observe a clear improvement in Gait variability. By extending theories of children’s traffic behavior, this study also highlights that some facilities labeled as “child-friendly” may be over-designed or cognitively misaligned with children’s actual perceptual and decision-making processes. These findings provide empirical evidence for optimizing street facilities and for developing related technical standards and public policies.

Applied SciencesVol. 15(24)
China Architecture Design & Research Group (China) (CN), Beijing University of Civil Engineering and Architecture (CN), Tsinghua University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 56%
Safety Warnings and Signage
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