Risk factors of mobile phone use while driving in Queensland: Prevalence, attitudes, crash risk perception, and task-management strategies.

Risk factors of mobile phone use while driving in Queensland: Prevalence, attitudes, crash risk perception, and task-management strategies.
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DOI:
10.1371/journal.pone.0183361
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发表时间:
2017
期刊:
影响因子:
3.7
通讯作者:
Washington S
Washington S
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Oviedo-Trespalacios O;King M;Haque MM;Washington S

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分心驾驶是交通安全中最重要的人为因素之一。驾驶时的移动的电话交互可能涉及大量认知和物理资源,这导致较差的驾驶性能和降低的安全裕度。本研究旨在探讨驾车时使用移动的手机的使用特点、危险因素、补偿策略和高频违规者的特点。一系列的问题,管理司机在昆士兰州(澳大利亚)使用在线问卷。共有484名驾驶员(34.9%为男性,49.8%为17-25岁)匿名参与。每两个被调查的司机中至少有一个人报告说自己分心驾驶。司机们无法承认与接听和定位电话铃声相关的撞车风险增加,而不是其他任务,如发短信/浏览。人们对使用移动的手机的态度更倾向于通话,而不是发短信或浏览网页。降低驾驶速度和增加与前车的距离是最受欢迎的任务管理策略,用于在驾驶时说话和发短信/浏览。另一方面,保持移动的手机低(例如在司机的膝盖上或乘客座位上)是司机最喜欢使用的策略,以避免警察对通话和发短信/浏览的罚款。Logistic回归模型被拟合以了解在驾驶时进行移动的电话交谈和浏览/发短信的风险因素的差异。对于这两项任务,暴露于驾驶,驾驶经验,驾驶历史(罪行和碰撞),态度是显着的预测。今后的移动的电话预防工作将受益于安全态度的发展和风险知识的提高。应重新设计移动的手机干扰的执法,因为使用任务管理策略来逃避警察执法似乎削弱了其对预防这种行为的影响。在公众教育活动设计和司机与手机互动设计方面提出了一些对策和建议。
Distracted driving is one of the most significant human factor issues in transport safety. Mobile phone interactions while driving may involve a multitude of cognitive and physical resources that result in inferior driving performance and reduced safety margins. The current study investigates characteristics of usage, risk factors, compensatory strategies in use and characteristics of high-frequency offenders of mobile phone use while driving. A series of questions were administered to drivers in Queensland (Australia) using an on-line questionnaire. A total of 484 drivers (34.9% males and 49.8% aged 17–25) participated anonymously. At least one of every two motorists surveyed reported engaging in distracted driving. Drivers were unable to acknowledge the increased crash risk associated with answering and locating a ringing phone in contrast to other tasks such as texting/browsing. Attitudes towards mobile phone usage were more favourable for talking than texting or browsing. Lowering the driving speed and increasing the distance from the vehicle in front were the most popular task-management strategies for talking and texting/browsing while driving. On the other hand, keeping the mobile phone low (e.g. in the driver’s lap or on the passenger seat) was the favourite strategy used by drivers to avoid police fines for both talking and texting/browsing. Logistic regression models were fitted to understand differences in risk factors for engaging in mobile phone conversations and browsing/texting while driving. For both tasks, exposure to driving, driving experience, driving history (offences and crashes), and attitudes were significant predictors. Future mobile phone prevention efforts would benefit from development of safe attitudes and increasing risk literacy. Enforcement of mobile phone distraction should be re-engineered, as the use of task-management strategies to evade police enforcement seems to dilute its effect on the prevention of this behaviour. Some countermeasures and suggestions were proposed in the design of public education campaigns and driver-mobile phone interaction.
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