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    Evaluating Safety Risks in Pedestrian Facilities for Different Ride Modes: Application of a Deep Learning–Based 3D Scanning System

    Source: Journal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 011::page 04025183-1
    Author:
    Kang, Kyubyung
    ,
    Xiao, Jinwu
    ,
    Moon, Sungkon
    DOI: 10.1061/JCEMD4.COENG-15257
    Publisher: American Society of Civil Engineers
    Abstract: AbstractPersonal 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. ...
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      Evaluating Safety Risks in Pedestrian Facilities for Different Ride Modes: Application of a Deep Learning–Based 3D Scanning System

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314616
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    • Journal of Construction Engineering and Management

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    contributor authorKang, Kyubyung
    contributor authorXiao, Jinwu
    contributor authorMoon, Sungkon
    date accessioned2026-08-20T21:32:20Z
    date available2026-08-20T21:32:20Z
    date copyright2025/08/30
    date issued2025
    identifier otherJCEMD4.COENG-15257.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314616
    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. ...
    publisherAmerican Society of Civil Engineers
    titleEvaluating Safety Risks in Pedestrian Facilities for Different Ride Modes: Application of a Deep Learning–Based 3D Scanning System
    typeJournal Article
    journal volume151
    journal issue11
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/JCEMD4.COENG-15257
    journal fristpage04025183-1
    journal lastpage04025183-12
    page12
    treeJournal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 011
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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