Cell Phone Conversation and Relative Crash Risk

Author(s):  
Richard A. Young

Two pioneering studies that examined cell phone billing records of people who had been in automobile crashes estimated that cell phone “use” while driving elevated crash risk by a factor of four relative to driving without cell phone use, a substantial increase. Cell phone “use” in these pioneering studies refers solely to cell phone conversation, because billing records contain no information about the visual-manual aspects of cell phone use. Recent research suggests that these pioneering studies overestimated the relative risk of cell phone conversation by a factor of seven due to two major biases. After adjustment for these biases, cell phone conversation does not increase crash risk beyond that of driving without a cell phone conversation, and may, in fact, reduce crash risk. The main reasons are driver self-regulation and reduced drowsiness, which fully compensate for the slight delays in brake response times caused by cell phone conversation.

Author(s):  
Richard A. Young

This chapter reviews key findings since 2014 that are relevant to estimating the relative crash risk of conversing via a cell phone during real-world and naturalistic driving in passenger vehicles. It updates chapter 102 in the previous edition of this Encyclopedia (Young, 2015a). The objective is to determine if recent data confirms the conclusion in Young (2015a) that engaging in a cell phone conversation does not increase crash risk beyond that of driving without engaging in a cell phone conversation. In particular, a recent estimate is presented of the relative crash risk for cell phone conversation in the Strategic Highway Research Program 2 (SHRP2) naturalistic driving study data. This estimate is compared with five other estimates in a meta-analysis, which shows that cell phone conversation reduces crash risk (i.e., has a protective effect). A recent experimental study will also be discussed, which supports the hypothesis that driver self-regulation gives rise to the protective effect by compensating for the slight delays in event response times during cell phone conversation.


Author(s):  
Richard A. Young

This chapter reviews key findings since 2014 that are relevant to estimating the relative crash risk of conversing via a cell phone during real-world and naturalistic driving in passenger vehicles. It updates Chapter 102 in the previous edition of this Encyclopedia. The objective is to determine if recent data confirms the conclusion that engaging in a cell phone conversation does not increase crash risk beyond that of driving without engaging in a cell phone conversation. In particular, a recent estimate is presented of the relative crash risk for cell phone conversation in the strategic highway research program 2 (SHRP2) naturalistic driving study data. This estimate is compared with five other estimates in a meta-analysis, which shows that cell phone conversation reduces crash risk (i.e., has a protective effect). A recent experimental study will also be discussed, which supports the hypothesis that driver self-regulation gives rise to the protective effect by compensating for the slight delays in event response times during cell phone conversation.


2013 ◽  
Vol 113 (3) ◽  
pp. 1001-1003 ◽  
Author(s):  
Curtis Puryear ◽  
Stephen Reysen

Use of a cell phone reduces attention and increases response times. 62 people (30 men, 32 women) were confronted with a confederate wearing a large leg brace, who dropped a stack of magazines and feigned difficulty retrieving them. Among the 33 people who talked on their cell phones only 9% offered their help, whereas among the 29 people who did not talk on their cell phones, 72% offered help. The use of cell phones affects helping behavior.


Epidemiology ◽  
2012 ◽  
Vol 23 (5) ◽  
pp. 773-774 ◽  
Author(s):  
David G. Kidd ◽  
Anne T. McCartt
Keyword(s):  

Epidemiology ◽  
2012 ◽  
Vol 23 (4) ◽  
pp. 649-650 ◽  
Author(s):  
Richard A. Young
Keyword(s):  

2015 ◽  
Vol 16 (8) ◽  
pp. 792-800 ◽  
Author(s):  
Charles M. Farmer ◽  
Sheila G. Klauer ◽  
Julie A. McClafferty ◽  
Feng Guo
Keyword(s):  
A Cell ◽  

2013 ◽  
Vol 5 (3) ◽  
pp. 92-125 ◽  
Author(s):  
Saurabh Bhargava ◽  
Vikram S Pathania

We investigate the causal link between driver cell phone use and crash rates by exploiting a natural experiment induced by the 9 pm price discontinuity that characterizes a majority of recent cellular plans. We first document a 7.2 percent jump in driver call likelihood at the 9 pm threshold. Using a prior period as a comparison, we next document no corresponding change in the relative crash rate. Our estimates imply an upper bound in the crash risk odds ratio of 3.0, which rejects the 4.3 asserted by Redelmeier and Tibshirani (1997). Additional panel analyses of cell phone ownership and cellular bans confirm our result. (JEL R41)


Author(s):  
Kay H. Braguglia

Whether it is hand held, in a pocket, on a backpack, clipped to a belt, or hidden in a brief case or purse, college students and cellular telephones go together.  Communication with fellow students, professors, parents, and everyone else is just a click away. While walking across campus and down the halls of academic buildings, cellular telephones are being used.  This research questions in what ways do students use cellular telephones and does this use interfere with or assist in learning and college life?  This paper reports the results of a survey of undergraduate business students addressing this question.  The objectives were to determine: (1) how much time is spent using a cell phone and which phone features are used most frequently, (2) what students believe concerning the impact of cell phones on learning in the classroom and during study, (3) how often students are in contact with parents on a cell phone, and (4) how much do students pay for cell phone services.  The results indicate that 100% of the students own a cell phone.  Sixty-six percent of the students use voice calls most frequently and 30% use text messages most often.  A total of 55.8% of students report that they spend 3 hours or less on their cell phone daily and 44.8% spend four or more hours daily on their cell phones.  Over half of the students report that they have some interaction with their cell phones during class time for every class.  Seventy-seven percent state that this cell phone use seldom or never interferes with classroom learning. All of the students (100%) believe that they should be able to receive emergency information over a cell phone during class time.  Seventy-six percent believe that cell phones seldom or never assist in classroom learning.  However, students report that cell phone use impacts on study time outside of class.  Cell phone distractions during study time outside class was reported by 34.6% of the students as happening often or always and an additional 43.5% are sometimes distracted by cell phones during study time. Bad or upsetting news received over a cell phone before class impacts academic performance of 14.2% of the students often or always.  Thirty-five percent of the students talk to parents more than once a day and another 23.7% have contact on a daily basis. Therefore, 59.5% report that they have contact with their parents at least once a day.    Fifteen percent of the students pay over $100 per month for cell phone service, 28% pay from $75 to $100, 34% spend $51 to $75, and 14% spend $26 to $50 per month.  More than 90% of the students report that they have text messaging, calculator, clock, calendar, and appointment reminder on their cell phone.  Over 70% have the internet and games.  Over 60% have a camera and email.  Only 13% have an MP3 music player and 7% have an FM radio.  


2018 ◽  
Vol 46 (1) ◽  
pp. 10-14 ◽  
Author(s):  
Catherine C. McDonald ◽  
Kristen Ward ◽  
Yanlan Huang ◽  
Douglas J. Wiebe ◽  
M. Kit Delgado

Background. Motor vehicle crashes are the leading cause of adolescent death. Cell phone use while driving is a contributor to adolescent motor vehicle crash risk. Objective and directly observable measures of cell phone use while driving are needed to implement interventions aimed at reducing cell phone–related crash risk. Aims. To describe novel smartphone-based measures of cell phone use while driving in a sample of newly licensed male and female adolescent drivers. Methods. Newly licensed adolescents in Pennsylvania installed a windshield-mounted device that pairs with a smartphone application to collect data on cell phone use while driving over 2 weeks during June 2016–October 2016. Descriptive statistics, independent t tests, and Wilcoxin Mann-Whitney U test were used to characterize handheld cell phone use (“unlock”) and call time while accounting for driving exposure. Results. Data from 16 adolescents (50% male) resulted in 5,624 miles in 705 trips, 964 cell phone unlocks, and 146.22 minutes of call time. Participants had a mean of 23.96 unlocks/100 miles ( SD = 22.97), 1.23 unlocks/trip ( SD = 0.96), and 4.87 unlocks/hour driven ( SD = 3.93). Males had significantly more unlocks/100 miles, unlocks at speed >25 mph/100 miles, unlocks/hour driven, and unlocks at speed > 25 mph/hour driven ( p < .05). Conclusions. Smartphone-based applications are an innovative means by which to collect continuous data on cell phone use while driving that can be used to better understand and intervene on this frequent behavior in newly licensed adolescent drivers.


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