Mobile phone use while driving: Predicting drivers’ answering intentions and compensatory decisions

Zhou, Ronggang; Rau, Pei‐Luen Patrick; Zhang, Weigang; Zhuang, Damin

doi:10.1016/j.ssci.2011.07.013

Cited by 54 publications

(39 citation statements)

References 57 publications

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“…The strategic decision to engage or not in a mobile phone task while driving has been subject to extensive research using social behavior models such as the theory of planned behavior. For instance, research has shown that drivers' intentions to answer mobile phone calls (Zhou, Rau, Zhang, & Zhuang, 2012) and engage in visual-manual interactions such as social media and emails (Gauld, Lewis, White, Fleiter, & Watson, 2017;Gauld, Lewis, White, & Watson, 2016) can be predicted using attitudes, perceived control, and social norm.…”

Section: Introductionmentioning

confidence: 99%

Should I Text or Call Here? A Situation‐Based Analysis of Drivers’ Perceived Likelihood of Engaging in Mobile Phone Multitasking

et al. 2018

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This study investigated how situational characteristics typically encountered in the transport system influence drivers' perceived likelihood of engaging in mobile phone multitasking. The impacts of mobile phone tasks, perceived environmental complexity/risk, and drivers' individual differences were evaluated as relevant individual predictors within the behavioral adaptation framework. An innovative questionnaire, which includes randomized textual and visual scenarios, was administered to collect data from a sample of 447 drivers in South East Queensland-Australia (66% females; n = 296). The likelihood of engaging in a mobile phone task across various scenarios was modeled by a random parameters ordered probit model. Results indicated that drivers who are female, are frequent users of phones for texting/answering calls, have less favorable attitudes towards safety, and are highly disinhibited were more likely to report stronger intentions of engaging in mobile phone multitasking. However, more years with a valid driving license, self-efficacy toward self-regulation in demanding traffic conditions and police enforcement, texting tasks, and demanding traffic conditions were negatively related to self-reported likelihood of mobile phone multitasking. The unobserved heterogeneity warned of riskier groups among female drivers and participants who need a lot of convincing to believe that multitasking while driving is dangerous. This research concludes that behavioral adaptation theory is a robust framework explaining self-regulation of distracted drivers.

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Section: Introductionmentioning

confidence: 99%

Should I Text or Call Here? A Situation‐Based Analysis of Drivers’ Perceived Likelihood of Engaging in Mobile Phone Multitasking

et al. 2018

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“…However, Zhou et al found that perceived behaviour control was the most influential factor [13]; if a driver thinks they had the ability to use a mobile phone when driving, distracted behaviours caused by using mobile phones would increase considerably. To explain why people use mobile phones while driving, Zhou et al considered compensatory decisions within the TPB, and the research discovered that the answering intention and compensatory decisions were more dependent on the way of using a mobile phone (using a mobile phone in the handheld or hands-free condition) and age rather than gender [14]. Chen et al applied modified TPB to predict self-reported engagement behaviour in several distraction tasks, revealing that attitudes, perceived behaviour control, and descriptive norms were significant predictors of self-reported engagement [15].…”

Section: Data Collection For Distracted Driving Behaviours Studymentioning

confidence: 99%

“…Based on the scales, the participants would answer the questions by selecting an option ranged from 1 to 7 to represent different levels. The second section of the questionnaire was designed based on the Theory of Planned Behaviour questionnaire (TPB Questionnaire) [11,12,14], and certain adjustments were made according to the content of the study.…”

Section: Descriptive Statistics and Analysis Of Variancementioning

confidence: 99%

Exploration of Contributing Factors of Different Distracted Driving Behaviors

Shi

Peng

Xiao

2019

PROMET

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The motivation of this research is to explore the contributing factors of driving distraction and compare the contributing factors for three typical distracted driving behaviours: drinking water, answering a phone and using mobile phone application (APP) while driving. An online survey including a driving behaviour scale and the Theory of Planned Behaviour Questionnaire (TPB Questionnaire) was conducted to obtain data related to these driving distractions. An integral structural equation model based on the Theory of Planned Behaviour (TPB) was established to explain the factors causing three typical distracted behaviours, and the causes of differences for three typical distracted behaviours were compared. The result shows that the attitudes and perceived behaviour control are the main factors causing distracted behaviours, and the subjective norm has a significant impact on answering a phone while driving. The occurrence of a distracted driving behaviour is the consequence of behaviour intention and perceived behaviour control. These conclusions provide insights for implementing behaviour modification and traffic laws education. KEY WORDSdriving distraction; contributing factors; structural equation model; theory of planned behaviours;

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“…), attitudes, norms, and perceived behavioral control have been investigated by researchers. Most studies were based on using questionnaires (Brusque and Alauzet 2008;Hallett et al 2011;Nelson et al 2009;Poysti et al 2005;Rozario et al 2010;Walsh et al 2008;Zhou et al 2009Zhou et al , 2012 to gather information. Questionnaires are useful tools to gather information about large groups and have increased our insight about driver behaviors.…”

Section: Purpose Of This Studymentioning

confidence: 99%

Impact of Headway Distance and Car Speed on Drivers’ Decisions to Answer an Incoming Call

Pouyakian

Mahabadi

Yazdi

et al. 2013

Traffic Injury Prevention

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Mobile phone use while driving: Predicting drivers’ answering intentions and compensatory decisions

Cited by 54 publications

References 57 publications

Should I Text or Call Here? A Situation‐Based Analysis of Drivers’ Perceived Likelihood of Engaging in Mobile Phone Multitasking

Should I Text or Call Here? A Situation‐Based Analysis of Drivers’ Perceived Likelihood of Engaging in Mobile Phone Multitasking

Exploration of Contributing Factors of Different Distracted Driving Behaviors

Impact of Headway Distance and Car Speed on Drivers’ Decisions to Answer an Incoming Call

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