Ospina-Mateus Holman, Jiménez Leonardo Quintana, López-Valdés Francisco J
Department of Industrial Engineering, Universidad Tecnológica de Bolívar, Cartagena, Colombia.
Department of Industrial Engineering, Pontificia Universidad Javeriana, Bogotá, Colombia.
Traffic Inj Prev. 2021;22(sup1):S99-S103. doi: 10.1080/15389588.2021.1970749. Epub 2021 Sep 8.
This study aimed to identify the association between behavioral factors and crashes of motorcycle taxi riders using the Motorcycle Rider Behavior Questionnaire (MRBQ).
This study was a cross-sectional survey of motorcycle taxi riders in Cartagena. The MRBQ was adapted to the socio-cultural context and contained 45 items. The survey was conducted between February 2019 and May 2019. The items of the MRBQ were processed using factor analysis. Four logistic regression models were used to analyze the association between behavioral factors and aspects of demographics, operating conditions, and experiencing near-crashes, crashes, traffic tickets, and at-fault crashes.
Four hundred and thirty-eight motorcyclists participated. The exploratory factor analysis extracted five elements: stunts, speed violations, traffic errors, control errors, and safety, explaining 42% of the variance. The increase in riding per week showed significant differences with stunts, speed violations, and traffic errors. Riding experiences, traffic errors, control errors, and safety were significantly associated with crashes and near-crashes. Stunts were the strongest factors related to traffic tickets. Speed violations were the strongest factors associated with at-fault accidents.
The study showed recent results considering behavioral, exposure, and operational conditions in a group of motorcycle taxi riders. The study recommends some practical implications for the well-being of motorcyclists and road safety.
本研究旨在通过摩托车骑手行为问卷(MRBQ)确定行为因素与摩托车出租车骑手撞车事故之间的关联。
本研究是对卡塔赫纳摩托车出租车骑手的横断面调查。MRBQ根据社会文化背景进行了调整,包含45个项目。调查于2019年2月至2019年5月进行。MRBQ的项目采用因子分析进行处理。使用四个逻辑回归模型分析行为因素与人口统计学、运营条件以及经历险些撞车、撞车、交通罚单和责任事故方面之间的关联。
438名摩托车手参与了研究。探索性因子分析提取了五个要素:特技驾驶、超速违规、交通失误、操控失误和安全,解释了42%的方差。每周骑行次数的增加在特技驾驶、超速违规和交通失误方面显示出显著差异。骑行经验、交通失误、操控失误和安全与撞车和险些撞车显著相关。特技驾驶是与交通罚单相关的最强因素。超速违规是与责任事故相关的最强因素。
该研究展示了一组摩托车出租车骑手在行为、暴露和运营条件方面的最新研究结果。该研究为摩托车手的福祉和道路安全提出了一些实际建议。