| Title |
Effects of Changes in Elementary School Commuting-Route Streetscapes on the Environmental Perceptions and Walking Behaviors of Children and Parents - Focusing on Virtual Reality Experiments and Explainable Machine Learning |
| Authors |
전은비(Jeon, Eun-Bi) ; 채한희(Chae, Han-Hee) ; 이경환(Lee, Kyung-Hwan) |
| DOI |
https://doi.org/10.38195/judik.2025.10.26.6.85 |
| Keywords |
초등학교 통학로; 가로환경 인식; 보행행태; 가상현실(VR); 설명가능한 머신러닝 Elementary School Route; Street Environment Recognition; Pedestrian; Behavior; Virtual Reality(VR); Explainable Machine Learning |
| Abstract |
This study aims to analyze the effects of changes in elementary school commuting route streetscapes on children’s and parents’ environmental perceptions and walking behaviors through virtual reality experiments. Fourteen street types were developed by reflecting conditions such as illegal parking, sidewalks, traffic safety facilities, safety fences, and pedestrian-priority streets across backroads and local streets. A total of 35 elementary school students and 33 parents participated in the experiment, collecting 952 street evaluation data. Multiple regression analysis, explainable machine learning, and walking path analysis were conducted. The results showed that both groups evaluated streets without illegal parking and with sidewalks, traffic safety facilities, and safety fences as the safest and most vibrant environments. However, differences in user perception emerged: parents rated the traffic safety of pedestrian-priority streets lower, while children evaluated them positively in terms of street vitality. This study is significant in that it empirically identifies the effects of streetscape changes on school route perceptions and walking behaviors through VR-based experiments and offers urban design implications. |