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Online motorcycle safety information seeking and its relationship to risk taking and protective behaviors

机译:在线摩托车安全信息搜索及其与冒险和保护行为的关系

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Objective: Although substantial research examines motorcycle accidents after they happen, less is known about how motorcycle riders obtain safety information and how this relates to risk taking and protective behaviors. Rather than taking a reactive approach (i.e., investigating accidents after they happen), this study takes a proactive approach by investigating riders’ reports of their behaviors in relation to motorcycle riding and related activities. The goal is to determine models predictive of risk taking and protective behaviors among motorcycle riders. Methods: A web-based survey was used to collect data from 269 participants who belong to an online motorcycle community in Alabama. The data were used to examine the relationship between use of the website for information seeking and two outcomes: frequency of risky riding behaviors and frequency of wearing protective gear. Analyses used multivariate ordinary least squares regression models, adding variables to the model in the following order: (1) use of the website for information seeking, (2) risk perception, (3) cues to action, and (4) control variables accounting for motorcycle riding experience, skills, and socio-demographic factors. Conclusions: Searching for safety information was associated with less risky riding behavior and greater use of protective gear. However, general use of the community website was associated with greater risk taking. This study advances prior work by examining predictors of risky riding behavior and wearing of protective gear, rather than reactively examining determinants of motorcycle crashes.
机译:目的:尽管大量研究调查了摩托车事故发生后的情况,但对于摩托车骑手如何获取安全信息以及这与冒险和保护行为的关系知之甚少。这项研究没有采取被动的方法(即在事故发生后进行调查),而是通过研究骑手有关摩托车骑行和相关活动的行为报告来采取主动的方法。目的是确定可预测摩托车骑手冒险和保护行为的模型。方法:基于网络的调查被用来收集来自阿拉巴马州一个在线摩托车社区的269名参与者的数据。数据用于检查使用网站进行信息搜索与两个结果之间的关系:危险骑行行为的频率和穿着防护装备的频率。分析使用的多元普通最小二乘回归模型,并按以下顺序向模型中添加变量:(1)使用网站进行信息搜索,(2)风险感知,(3)行动提示和(4)控制变量会计摩托车骑行经验,技能和社会人口因素。结论:搜索安全信息与较低的骑行行为风险和更多使用防护装备有关。但是,社区网站的普遍使用与更大的冒险精神有关。这项研究通过检查危险的骑行行为和防护装备的磨损的预测因素来推进先前的工作,而不是被动地检查摩托车碰撞的决定因素。

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