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Correlations of multiple rider behaviors with self-reported attitudes, perspectives on traffic rule strictness and social desirability

机译:多名骑手行为与自我报告的态度的相关性,交通规则严格和社会可取性的观点

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Powered Two-Wheeler (PTW) riders constitute a very vulnerable group of road users, while riding a PTW is considerably more dangerous than using any other motor vehicle. Behavioral issues have been identified major moderating factors to PTW crashes, as riders display great variability in their attitudes towards road safety. The aim of this paper is to present a thorough, overarching structure of relationships correlating various unsafe stated PTW rider behaviors (riding after alcohol consumption, speeding, helmet use and texting) with several self-reported attitude parameters and factors regarding rider perspectives on traffic rule strictness and social desirability. A structural equation model (SEM) was developed using data from the ESRA2 survey, which provided a broad sample encompassing 5,958 respondent riders from 32 countries. Numerous statistical relationships were discovered and quantified correlating the four examined unsafe rider behaviors with eight latent unobserved variables. All covariances between unsafe behaviors were found to be positive and statistically significant, indicating that a rider who will engage more frequently in every single one of the four examined unsafe riding behaviors is more likely to also engage in all the others as well.(c) 2021 Elsevier Ltd. All rights reserved.
机译:动力两轮车(PTW)骑手构成一个非常脆弱的道路用户,而骑行PTW比使用任何其他机动车辆更危险。由于骑手对道路安全态度的态度呈现出巨大变化,因此已经确定了行为问题。本文的目的是彻底,全面的关系结构相关,关联各种不安全的PTW骑手行为(乘坐酒精消费,加速,头盔使用和发短信),几种自我报告的姿态参数和关于交通规则的骑手观点的因素严格和社会的可取性。使用来自esRA2调查的数据开发了结构方程模型(SEM),该数据提供了广泛的样本,包括来自32个国家的5,958名受访者。发现和量化了许多统计关系,与八个潜在的未观察变量有四个检查的不安全骑手行为相关。不安全行为之间的所有协方差都被发现是积极和统计学意义的,这表明将在四个审查的不安全骑行行为中的每一项中的每一个中的每一个中都是更频繁的骑手也更有可能从事所有其他人。(c) 2021 Elsevier Ltd.保留所有权利。

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