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http://dx.doi.org/10.5392/JKCA.2022.22.05.288

Exploring the Cognitive Factors that Affect Pedestrian-Vehicle Crashes in Seoul, Korea : Application of Deep Learning Semantic Segmentation  

Ko, Dong-Won (단국대학교 일반대학원 도시계획및부동산학과)
Park, Seung-Hoon (단국대학교 도시계획및부동산학부)
Lee, Chang-Woo (리플에이아이 연구팀)
Publication Information
The Journal of the Korea Contents Association / v.22, no.5, 2022 , pp. 288-304 More about this Journal
Abstract
Walking is an eco-friendly and sustainable means of transportation that promotes health and endurance. Despite the positive health benefits of walking, pedestrian safety is a serious problem in Korea. Therefore, it is necessary to investigate with various studies to reduce pedestrian-vehicle crashes. In this study, the cognitive characteristics affecting pedestrian-vehicle crashes were considered by applying deep learning semantic segmentation. The main results are as follows. First, it was found that the risk of pedestrian-vehicle crashes increased when the ratio of buildings among cognitive factors increased and when the ratio of vegetation and the ratio of sky decreased. Second, the humps were shown to reduce the risk of pedestrian-related collisions. Third, the risk of pedestrian-vehicle crashes was found to increase in areas with many neighborhood roads with lower hierarchy. Fourth, traffic lights, crosswalks, and traffic signs do not have a practical effect on reducing pedestrian-vehicle crashes. This study considered existing physical neighborhood environmental factors as well as factors in cognitive aspects that comprise the visual elements of the streetscape. In fact, the cognitive characteristics were shown to have an effect on the occurrence of pedestrian- related collisions. Therefore, it is expected that this study will be used as fundamental research to create a pedestrian-friendly urban environment considering cognitive characteristics in the future.
Keywords
Pedestrian-Vehicle Crashes; Neighborhood Environment; Semantic Segmentation; Deep Learning; Negative Binomial Regression;
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Times Cited By KSCI : 5  (Citation Analysis)
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