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dc.contributor.authorKang, Kyubyung
dc.contributor.authorXiao, Jinwu
dc.contributor.authorMoon, Sungkon
dc.date.accessioned2026-08-20T21:32:20Z
dc.date.available2026-08-20T21:32:20Z
dc.date.copyright2025/08/30
dc.date.issued2025
dc.identifier.otherJCEMD4.COENG-15257.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314616
dc.description.abstractAbstractPersonal mobility vehicles (PMVs) have seen a surge in popularity due to their convenience and ease of use. However, these vehicles are frequently utilized on sidewalks, bike lanes, and roads, thereby posing risks to both riders and pedestrians. ...
dc.publisherAmerican Society of Civil Engineers
dc.titleEvaluating Safety Risks in Pedestrian Facilities for Different Ride Modes: Application of a Deep Learning–Based 3D Scanning System
dc.typeJournal Article
dc.journal.volume151
dc.journal.issue11
dc.journal.titleJournal of Construction Engineering and Management
dc.identifier.doi10.1061/JCEMD4.COENG-15257
dc.journal.fristpage04025183-1
dc.journal.lastpage04025183-12
dc.page12
dc.treeJournal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 011
dc.contenttypeFulltext


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