Effect of North Carolina's restriction on teenage driver cell phone use two years after implementation

Goodwin, Arthur H.; O’Brien, Natalie; Foss, Robert D.

doi:10.1016/j.aap.2012.02.006

Cited by 92 publications

(60 citation statements)

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“…36 A followup study conducted 2 years later indicated a lack of long-term effect of the law on cell phone use among teenage drivers. 37 Indeed, these laws are difficult to enforce because of the intermittent nature of TWD or other cell phone use and the difficulty in observing the behavior. Also, in states that prohibit TWD or cell phone use only among teenage drivers, identifying the teenage drivers to whom the law applies poses additional difficulty.…”

Section: Discussionmentioning

confidence: 99%

Texting While Driving and Other Risky Motor Vehicle Behaviors Among US High School Students

2013

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WHAT'S KNOWN ON THIS SUBJECT: Distracted driving due to texting while driving (TWD) has emerged as an important teenage safety issue. Previous studies have shown that the self-reported prevalence of TWD among teenagers varies widely. WHAT THIS STUDY ADDS:In 2011, 45% of US high school students aged $16 years reported TWD during the past 30 days. TWD was positively associated with other risky motor vehicle behaviors; this association strengthened as frequency of TWD increased. abstract OBJECTIVE: To assess the prevalence of texting/e-mailing while driving (TWD) and association of TWD with other risky motor vehicle (MV) behaviors among US high school students.METHODS: Data were used from the Centers for Disease Control and Prevention' s 2011 national Youth Risk Behavior Survey, which assessed TWD during the 30 days before the survey among 8505 students aged $16 years from a nationally representative sample of US high school students. TWD frequency was coded into dichotomous and polychotomous variables. Logistic regression assessed the relationship between TWD and other risky driving behaviors, controlling for age, race/ethnicity, and sex. RESULTS:The prevalence of TWD on $1 days during the 30 days before the survey was 44.5% (95% confidence interval: 40.8%-48.2%). Students who engaged in TWD were more likely than their non-TWD counterparts to not always wear their seatbelt (prevalence ratio; 95% confidence interval: 1.16; 1.07-1.26), ride with a driver who had been drinking alcohol (1.74; 1.57-1.93), and drink alcohol and drive (5.33; 4.32-6.59). These other risky MV behaviors were most likely to occur among students who frequently engaged in TWD.CONCLUSIONS: Nearly half of US high school students aged $16 years report TWD during the past 30 days; these students are more likely to engage in additional risky MV behaviors. This suggests there is a subgroup of students who may place themselves, their passengers, and others on the road at elevated risk for a crash-related injury or fatality by engaging in multiple risky MV behaviors. Pediatrics

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Section: Discussionmentioning

confidence: 99%

Texting While Driving and Other Risky Motor Vehicle Behaviors Among US High School Students

2013

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“…Currently, 39 states, the District of Columbia, Guam and the Virgin Islands have banned texting and driving and an additional five states limit texting for novice drivers (GHSA, 2012). However, the extent that legislation has or will reduce the frequency of texting and driving behavior may be less than expected (Goodwin et al, 2012). Clearly a multimethod prevention approach will be required.…”

Section: Discussionmentioning

confidence: 99%

A Research Synthesis of Text Messaging and Driving Performance

Caird

Johnston

Willness

et al. 2013

Proceedings of the 7th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design : Dr

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Summary:To determine the effects of text messaging on driving performance, all available experimental studies that measured driving performance were identified through a variety of database searches and backtracking strategies, and analyzed using standard research synthesis methods. Fourteen studies with a total of 519 participants were coded and analyzed. Methodology, independent and dependent variables, and statistical analyses varied widely across studies, but conclusions were clear and convergent. Reaction time, crashes, longitudinal and lateral control, eye movements, hazard detection and subjective workload measures indicate significant decrements in driving performance while reading and typing text messages. The importance of the results for further policy development and methodological reporting is briefly introduced.

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“…Laws against mobile phone use while driving may not be having the same effect as the laws for other risky road user behaviours (e.g., drink-driving) as they are challenging to enforce (Goodwin, O'Brien, & Foss, 2012;Jessop, 2008;McCartt, Hellinga, Strouse, & Farmer, 2010). The development of other countermeasures such as public education messages, therefore, is critical to alert drivers of the risky nature of such activities.…”

Section: Legislation and Enforcementmentioning

confidence: 99%

“…Similarly, a survey study of US states with a mobile phone ban reported a 13% drop (from 69% to 56%) in drivers engaging in the banned behaviour (see Braitman & McCartt, 2010). Studies also show that mobile phone bans appear to have less effect on younger drivers (see Foss, Goodwin, McCartt, & Hellinga, 2009;Goodwin et al, 2012). While there may be an initial reduction in mobile phone use Chapter 2: Literature Review 27 after laws are introduced, the effects are not long lasting (Goodwin et al, 2012;McCartt et al, 2010).…”

Section: Legislation and Enforcementmentioning

confidence: 99%

“…It is also possible that safety concerns may be raised in the case of a crash, or other dangerous situation, if mobile phones are blocked. Legal bans regarding mobile phone use while driving are difficult to enforce (see Goodwin et al, 2012;Jessop, 2008;McCartt et al, 2010) and have been shown to have the opposite effect of increasing crashes as drivers conceal their use more often (Highway Loss Data Institute, 2010). Research, therefore, has suggested that a multi-pronged approach to addressing risky driver behaviour has the potential to be most effective which includes public education messages, enforcement, and technology (Delgado, Wanner, & McDonald, 2016).…”

Section: Scope Of the Program Of Researchmentioning

confidence: 99%

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A Theory-Based Approach to the Development and Evaluation of Public Education Messages Aimed at Social Interactive Technology Use on Smartphones among Young Drivers

Gauld¹

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Worldwide, road trauma is the leading cause of death among young people.Young drivers aged 18 to 25 years are both more accepting of technology and more likely than any other age group to use a mobile phone while driving, particularly smartphones. Young drivers are also more likely to access the additional social interactive technologies available on smartphones, such as Facebook and email, placing them at increased risk of road trauma from driver distraction. Laws against mobile phone use while driving exist in some countries, such as Australia; however, they may not be having the same effect as the laws for other risky road user behaviours (e.g., drink-driving) as they are challenging to enforce. The development of other countermeasures such as public education messages, therefore, is critical to alert drivers of the risky nature of such activities.This program of research examined the role and effectiveness of public education messages that were developed and evaluated in accordance with the Step approach to Message Design and Testing (SatMDT). The SatMDT is a four step framework based on social psychological theory (i.e., the Theory of Planned Behaviour; the Elaboration Likelihood Model; the Extended Parallel process Model; and Social Learning Theory) and includes ongoing input from young drivers who and inform and test every step. These messages were aimed at reducing key behaviours relating to smartphone use; namely, initiating, monitoring/reading, and responding to social interactive technology among young drivers aged 17 to 25 years.There were three distinct studies in this program of research, with each study building purposefully on the results of the previous study. A mixed methods approach was utilised with some studies utilising both qualitative and quantitative v methods within separate study phases. Study 1 of the research program identified pre-existing characteristics associated with the target audience and comprised three distinct phases. Study 1A (N = 14) was a qualitative study that identified the extent and nature of young drivers' involvement in the behaviour. Study 1B (N = 26) was a qualitative study that identified underlying beliefs of the target audience regarding the target behaviours and Study 1C (N = 114) was a quantitative survey study that verified whether the beliefs elicited in Study 1B were representative of a broader population of young drivers. The analysis of Study 1C data identified three key beliefs that would be fundamental to challenge in public education messages. Specifically, they were 'believing you are a good driver would encourage'; 'slowmoving traffic would encourage'; and 'friends and peers would approve' of a young driver accessing social interactive technology on their smartphone.The main aim of Study 2 was to develop and pilot message content based on the results of Study 1 to ensure the message content conveyed the anticipated message.Guided by theoretical and empirical evidence and in accordance with the SatMDT, nine messages were developed in the ini...

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Effect of North Carolina's restriction on teenage driver cell phone use two years after implementation

Cited by 92 publications

References 10 publications

Texting While Driving and Other Risky Motor Vehicle Behaviors Among US High School Students

Texting While Driving and Other Risky Motor Vehicle Behaviors Among US High School Students

A Research Synthesis of Text Messaging and Driving Performance

A Theory-Based Approach to the Development and Evaluation of Public Education Messages Aimed at Social Interactive Technology Use on Smartphones among Young Drivers

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