ArticlePDF Available

Distracted Driving and Implications for Injury Prevention in Adults

Authors:

Abstract and Figures

Distracted driving, a significant public safety issue, is typically categorized as cell phone use and texting. The increase of distracted driving behavior (DDB) has resulted in an increase in injury and death. The purpose of this study was to identify the frequency and perception of DDB in adults. A 7-question SurveyMonkey questionnaire was distributed to a convenience sample of adults. Standard demographics included age, gender, and highest levels of education. Primary outcome questions were related to frequency of DDB, and overall perceptions specific to distracted driving. Results were compared on the basis of demographics. Chi-square testing and the Kruskal-Wallis analysis of variance were applied, with statistical significance defined as P ≤ .05. There were 1857 respondents to the survey: 1721 were aged 23-64 years (93%); 1511 were women (81%); 1461 had high school education or greater (79%). A total of 168 respondents (9%) reported being involved in a car accident while distracted. The highest reported frequency of DDB included cell phone use (69%), eating/drinking (67%), and reaching for an object in the care (49%). Younger age (18-34 years) and higher level of education (bachelor's degree or greater) were statistically associated with these DDB; gender demonstrated no statistical significance. Text messaging was reported by 538 respondents (29%), with a statistically significant association with age (18-34 years), higher education (bachelor's degree or greater), and gender (males). A total of 1143 respondents (63%) believed that they could drive safely while distracted. This study demonstrates that DDB in adults is not restricted to reading and sending text messages. Moreover, these results indicated that people fail to perceive the dangers inherent in distracted driving. Prevention and outreach education should not be limited to texting and cell phone use but should target all forms of DDB. The age group 18-34 years should be the primary target in the adult population.
Content may be subject to copyright.
JOURNAL OF TRAUMA NURSING WWW.JOURNALOFTRAUMANURSING.COM 31
RESEARCH
Copyright © 2013 Society of Trauma Nurses. Unauthorized reproduction of this article is prohibited.
Distracted Driving and Implications for Injury
Prevention in Adults
Jane Hoff , MSN, CNM, RN Jennifer Grell , BSN, RN Nicole Lohrman , MSN, RN, CCRN
Christy Stehly , BS Jill Stoltzfus , PhD Gail Wainwright , MSN, RN William S. Hoff , MD, FACS
ABSTRACT
Distracted driving, a signifi cant public safety issue, is
typically categorized as cell phone use and texting. The
increase of distracted driving behavior (DDB) has resulted
in an increase in injury and death. The purpose of this
study was to identify the frequency and perception of DDB
in adults. A 7-question SurveyMonkey questionnaire was
distributed to a convenience sample of adults. Standard
demographics included age, gender, and highest levels
of education. Primary outcome questions were related
to frequency of DDB, and overall perceptions specifi c to
distracted driving. Results were compared on the basis
of demographics. Chi-square testing and the Kruskal-
Wallis analysis of variance were applied, with statistical
signifi cance defi ned as P .05. There were 1857
respondents to the survey: 1721 were aged 23-64 years
(93%); 1511 were women (81%); 1461 had high school
education or greater (79%). A total of 168 respondents
(9%) reported being involved in a car accident while
distracted. The highest reported frequency of DDB
included cell phone use (69%), eating/drinking (67%),
and reaching for an object in the care (49%). Younger age
(18-34 years) and higher level of education (bachelor’s
degree or greater) were statistically associated with these
DDB; gender demonstrated no statistical signifi cance. Text
messaging was reported by 538 respondents (29%), with
a statistically signifi cant association with age (18-34 years),
higher education (bachelor’s degree or greater), and gender
(males). A total of 1143 respondents (63%) believed
that they could drive safely while distracted. This study
demonstrates that DDB in adults is not restricted to reading
and sending text messages. Moreover, these results
indicated that people fail to perceive the dangers inherent
in distracted driving. Prevention and outreach education
should not be limited to texting and cell phone use but
should target all forms of DDB. The age group 18-34 years
should be the primary target in the adult population.
Key Words
Distracted driving , Injury prevention , Take a STANDD
D istracted driving, a signifi cant public safety issue, is
typically categorized as cell phone use and texting.
However, with the availability of such mobile tech-
nology as global positioning systems and vehicle
entertainment systems, additional sources of distrac-
tion have become increasingly available to drivers.
1
The
increase in distracted driving behaviors (DDBs) has been
identifi ed as an important etiology of accidental injury
and death. According to the Fatality Analysis Reporting
System, a total of 51,857 fatalities caused by driver distrac-
tion occurred from 1999 to 2008.
2
Self-reported perceptions of drivers with regard to
DDB may offer some interesting insight into the plan-
ning and design of trauma prevention and outreach ef-
forts specifi c to this signifi cant and correctable problem.
The purpose of this study was to identify the frequency
and perception of DDBs in adults.
MATERIALS AND METHODS
This study was a collaborative effort between the Take
a STANDD© Organization, a community outreach and
awareness group and a university-affi liated level I trau-
ma center. The study received an exempt status from the
St. Luke’s institutional review board. A survey was sent
Author Affi liations: Take a STANDD© Organization, Bethlehem, Penn-
sylvania (Ms Hoff); and St. Luke’s University Hospital, Division of Trauma,
Bethlehem, Pennsylvania (Mss Grell, Lohrman, Stehly, and Wainwright,
Drs Stoltzfus and Hoff) .
The authors declare no confl icts of interest.
Presentations: Poster Presentation, Eastern Association for the Surgery of
Trauma Meeting, Orlando, Florida, January 2012.
Author Contributions: Literature search : J. Hoff, Grell, Lohrman, Simons,
Stehly, Wainwright, W. Hoff; Study design : J. Hoff, Grell, Lohrman,
Simons, Stehly, Wainwright, W. Hoff, J. Stoltzfus; Data collection : J. Hoff,
Grell, Lohrman, Simons, Stehly, Wainwright, W. Hoff; Data analysis : J.
Hoff, J. Stoltzfus, W. Hoff; Data interpretation : J. Hoff, J. Stoltzfus, W.
Hoff; Writing : J. Hoff, J. Stoltzfus, W. Hoff; Critical review : J. Hoff, Grell,
Lohrman, Simons, Stehly, Wainwright, W. Hoff, Stoltzfus; and Figures: J.
Hoff, Stehly, W. Hoff.
Correspondence: Jane Hoff, MSN, CNM, RN, Take a STANDD© Organiza-
tion, 1966 Sunderland Dr, Bethlehem, PA 18015 ( jgehoff@verizon.net ).
DOI: 10.1097/JTN.0b013e318286616c
JTN200197.indd 31JTN200197.indd 31 22/02/13 4:28 AM22/02/13 4:28 AM
32 WWW.JOURNALOFTRAUMANURSING.COM Volume 20 | Number 1 | January–March 2013
Copyright © 2013 Society of Trauma Nurses. Unauthorized reproduction of this article is prohibited.
RESULTS
There were 1857 respondents to the survey over a
1-month period. Demographic characteristics of the re-
spondents are reported in Table 2 . Of note, 93% of re-
spondents were between 23 and 64 years of age. The vast
majority (81%) were women, and 79% were educated at
an associate degree-level or greater.
Complete data (ie, all survey questions answered) on
DDB were available for 1838 respondents. One thousand
eighteen respondents (72%) reported fi nding themselves
distracted while driving always, frequently, or sometimes;
28% were rarely or never distracted while driving ( Table 3 ).
Distraction was signifi cantly more likely to be reported in
older age categories ( P .0001), less likely in women ( P
.01), and less likely in more highly educated respondents
( P .005).
Specifi c distractive behaviors are presented in Figure 1 .
The highest reported DDB was cell phone use (either
hands free or hand-held) in 79% of respondents, eating
and drinking (67%) and reaching for an object outside of
the driver’s compartment (50%). More respondents in the
23- to 44-year age category ( P .0001) and with a doc-
toral degree ( P .0001) reported talking hands free on
a cell phone. A statistically higher percentage of younger
respondents aged 18 to 44 years ( P .0001) and more
respondents with bachelor’s degrees ( P .02) reported
talking on a non–hands-free cell phone while driving.
Eating and drinking were reported more frequently in
23- to 44-year-olds ( P .0001) and in respondents with
electronically to employees of a single health care net-
work. Surveys were subsequently forwarded by initial
recipients using various social networks and computer
Web sites. The survey was limited to adults with driver’s
licenses. Data were collected and preliminarily analyzed
using a SurveyMonkey tool, which was developed by
content experts from multiple fi elds.
Standard demographics included respondent age by
category (18-22; 23-34; 35-44; 45-54; 55-64; 65 years),
gender, and level of education (high school; associate’s
degree; bachelor’s degree; master’s degree; doctoral de-
gree). Four questions specifi c to DDB constituted the pri-
mary outcome data for the study ( Table 1 ). Distracted
driving behaviors were compared between the various
demographic groups.
Statistical analysis utilized the chi-square test of gen-
eral association for categorical variables and the Kruskal-
Wallis analysis of variance for ordinal variables. For all
analyses, statistical signifi cance was defi ned as P .05,
with no adjustment for the multiple comparisons.
TABLE 1 Questions Specifi c to Distracted
Driving Behavior
1. How often do you fi nd yourself distracted while driving?
Always
Frequently
Sometimes
Rarely
Never
2. Which of the following activities have you done in the past
week while operating a moving vehicle?
Read or sent text message
Talked on cell phone (not hands free)
Talked on cell phone (hands free)
Applied make up
Ate and/or drank
Waved to pedestrians
Reached for something in passenger or back seat
Other
3. Do you believe you are able to drive safely while performing
these activities?
Yes
No
4. Have you ever been involved in a car accident that in-
volved distracted driving?
Yes
No
TABLE 2 Respondent Demographic Summary
Demographic Number %
Age, y
18-22 72 4
23-34 392 21
35-44 384 21
45-54 527 29
55-64 404 22
65 60 3
Gender
Male 353 19
Female 1504 81
Education
High school 382 21
Associate’s degree 473 26
Bachelor’s degree 561 31
Master’s degree 330 18
PhD 86 4
JTN200197.indd 32JTN200197.indd 32 22/02/13 4:28 AM22/02/13 4:28 AM
JOURNAL OF TRAUMA NURSING WWW.JOURNALOFTRAUMANURSING.COM 33
Copyright © 2013 Society of Trauma Nurses. Unauthorized reproduction of this article is prohibited.
DISCUSSION
There are many studies regarding cell phone use, tex-
ting, and other vehicular technologies that may produce
a distraction while driving. It has been stated that driving
while distracted is approximately equivalent to driving
while under the infl uence of alcohol.
3
Studies have docu-
mented that conversing on a cell phone detracts consider-
ably from driving performance whether in the hand-held
or hands-free mode.
1
,
4
Strayer and colleagues revealed
that drivers conversing on cell phones demonstrate “inat-
tention blindness,” processing up to 50% less environ-
mental information that is vital to safe motor vehicle op-
eration.
5
,
6
However, certain behaviors are noted to be less
of an impediment to driving safely. Studies suggest that
neural pathways may be diverted differently in the case of
conversation with a passenger, with less incidence of inat-
tention blindness than during a cell phone conversation.
3
The present study provides unique information regarding
the perceptions of adult drivers with regard to distracted
driving.
The American Automobile Association performed a
blind analysis of the typical distractions experienced by
adults while driving and the percentage of time spent
distracted.
7
The behavior of 71 drivers was observed us-
ing video camera and a coder; the drivers had no input
regarding their perception of distractions. During 3 hours
of coded driving time, almost all of the volunteer sub-
jects were observed manipulating vehicle controls and
reaching for objects inside their moving vehicle. Nearly as
many were observed manipulating audio controls or had
their attention drawn to something outside the vehicle.
Three-fourths ate or drank while driving or conversed
with a passenger. Reading/writing and grooming were
also common activities. Nearly one-third of the subjects
used a cellular telephone while driving or were distracted
by passengers in their vehicles.
A study of adolescent drivers by Heck and Carlos
8
dem-
onstrated that distractions secondary to peer passengers
bachelor’s degrees ( P .0001). A higher frequency of
reaching behavior was reported in the 18- to 34-year age
categories ( P .0001) and in more highly educated re-
spondents ( P .03).
Text messaging was reported by 29%, with respon-
dents in the youngest age categories (18-22 and 23-34
years old) reported sending or receiving texts signifi cantly
more often ( P .001). Texting was also signifi cantly as-
sociated with education level; the highest frequency of
texting behavior was reported in respondents with both
bachelor’s and doctoral degrees ( P .001). There were
no statistically signifi cant gender differences in any spe-
cifi c DDB.
Sixty-three respondents (63%) believed that they could
drive safely while engaging in DDB, while 37% believed
that DDBs were an impediment to safe driving. There
was a signifi cant difference in these responses based on
age, gender, or level of education. One hundred sixty-
eight respondents (9%) reported being involved in a mo-
tor vehicle collision related to distracted driving, but there
were no statistical associations related to age, gender, or
education level.
TABLE 3 Overall Reported Distracted
Driving
Demographic
Distracted
Driving Reported
a
No Distracted
Driving Reported
b
Age, y
18-22 52 (72%) 20 (28%)
23-34 322 (82%) 70 (18%)
35-44 309 (80%) 75 (20%)
45-54 375 (71%) 152 (29%)
55-64 234 (58%) 170 (12%)
65 27 (77%) 33 (13%)
Gender
Male 221 (65%) 120 (35%)
Female 1097 (73%) 399 (17%)
Education
High school 247 (65%) 135 (35%)
Associates 340 (72%) 133 (18%)
Degree 423 (75%) 138 (25%)
Bachelor’s
degree
244 (74%) 86 (26%)
Master’s
degree
59 (69%) 27 (31%)
PhD
a Distracted driving reported as always, frequently or sometimes.
b Distracted driving reported as rarely or never.
Figure 1. Distracted driving behaviors.
JTN200197.indd 33JTN200197.indd 33 22/02/13 4:28 AM22/02/13 4:28 AM
34 WWW.JOURNALOFTRAUMANURSING.COM Volume 20 | Number 1 | January–March 2013
Copyright © 2013 Society of Trauma Nurses. Unauthorized reproduction of this article is prohibited.
may be equivalent to those experienced by adults using
cell phones while driving. This study did not examine
other distracted behaviors such as eating or drinking,
grooming, or reaching for things in the back seat. The
mere presence of passengers in the vehicle was suggested
as an important form of distraction for teenaged drivers.
This study demonstrates that DDB in adults is not re-
stricted to cellular phone technology such as talking on
the phone, reading, or sending text messages. Moreover,
these results indicate that people fail to perceive the dan-
gers inherent in distracted driving. The subgroup of adults
with the highest DDBs were 18 to 34 years old.
Awareness programs concerning distracted driving are
slowly being developed across the United States. The
programs are not keeping up with the morbidity and
mortality rates involving individuals in all age groups.
Active education of adults may be a key element in injury
prevention and outreach activities.
Studies similar to this one are currently being per-
formed collaboratively with a comprehensive education
program sponsored by Take a STANDD to specifi cally
examine perceptions of DDB in teenaged drivers. In ad-
dition, analysis of DDB of noncustodial transporters of
children (eg, school bus drivers) is also planned.
Distracted driving is a serious problem in adult driv-
ers. Three-quarters of adult drivers report experiencing
REFERENCES
1. Drews F , Yazdani H , Godfrey C , et al. Text messaging during
simulated driving . Hum Factors . 2009 ; 51 : 762-770 .
2. Wilson F , Stimpson J . Trends in fatalities from distracted
driving in the United States, 1999 to 2008 . Am J Pub Health .
2010 ; 100 : 2213-2219 .
3. Ship A . The most primary of care—talking about driving and
distraction . N Engl J Med . 2010 ; 362 : 2145-2147 .
4. Strayer DL , Johnson WA . Driven to distraction: dual-task studies
of simulated driving and conversing on a cellular phone . Psy-
chol Sci . 2001 ; 12 : 462-466 .
5. Strayer DL , Drews FA , Johnson WA . Cell phone induced failures
of visual attention during simulated driving . J Exp PsycholAppl.
2003 ; 9 : 23-52 .
6. Strayer DL , Drews FA . Cell-phone induced inattention blind-
ness . Curr Dir Psych Sci . 2001 ; 16 : 128-131 .
7. Stutts J , Feaganes J , Rodgman E , et al. Distractions in everyday
driving . Report Prepared for AAA Foundation for Traffi c Safety,
Washington, DC. 2003 : 1-105 .
8. Heck K , Carlos R . Passenger distractions among adolescent
drivers
. J Safety Res . 2008 ; 39 : 437-443 .
distraction while driving. However, the majority believe
that they can safely operate a motor vehicle while dis-
tracted. Distracted driving is not restricted to cell phone
use and texting; many other activities must be consid-
ered when discussing DDB. Specifi c age groups and
education levels should be targeted when designing
prevention programs.
For more than 56 additional continuing education articles related to
emergency care and 20 additional continuing education articles
related to safety, go to NursingCenter.com\CE.
JTN200197.indd 34JTN200197.indd 34 22/02/13 4:28 AM22/02/13 4:28 AM
... Cell phone usage is a common distraction for motor vehicle drivers [17]. According to the NHTSA data from 2017, about 5.3 % of drivers use their cell phones while driving [18] and among different age groups, younger drivers are more likely to use cell phone while driving [19] since a significant percentage of this group of drivers are interested in texting while driving [20]. Driving while using a cell phone (e.g., to talk, send text messages, or watch videos) can impact many aspects of driving performance, such as reaction time, speed, and decisionmaking [21][22]. ...
Article
Full-text available
The study analysed the driving performance and visual impairment of 92 participants under six different distraction scenarios. Using a car simulator and by simulating two real-world roads, a variety of data was collected, including driver behavior and vehicle-related data. According to a statistical analysis conducted during and before the distraction on road 1, females significantly increased speed more than males when using a hand-held call (=scenario #3), hands-free call (=scenario #4), text (=scenario #6), and voice command text (=scenario #7). The Kruskal-Wallis H test was performed on gender, age, vehicle speed, throttle, and offset from the center of the road subcategories, while selecting the more correlated variable with each type of distraction. Finally, the generalized linear regression model was used to provide a significant relationship between the frequency of distraction and highly correlated independent variables.
... Previous studies found that male drivers are more likely to engage in activities leading to the distraction of the drivers, and female drivers are more likely to comply with rules that discourage distracted driving [38,42]. However, the results from our study suggest that female drivers were significantly more likely to suffer from a distraction crash and severe injury compared to male drivers. ...
Article
Full-text available
Traffic crashes are among the leading causes of injuries and fatalities worldwide. The main assumption of this study is that traffic crash rates, injury severity, and driving behaviors differ by the driver’s gender. Utilizing ten years (2011–2020) of data from the Texas Crash Record and Information System database, this study investigates how some of the most prominent driving behaviors leading to crashes and severe injuries (distracted driving, speeding, lane departure, and driving under influence) vary by gender in San Antonio, Texas. The spatial distribution of crashes associated with these driving behaviors by gender is also investigated, as well as the influence of some environmental and temporal variables on crash frequency and injury severity. This study adopted bivariate analysis and logistic regression modeling to identify the effect of different variables on crash occurrence and severity by gender. Male drivers were more likely to be involved in a speeding/DUI/lane departure-related crash and subsequent severe injuries. However, female drivers were slightly more associated with distracted-driving crashes and subsequent injuries. Nighttime, interstate/highway roads, the weekend period, and divider/marked lanes as the primary traffic control significantly increased the crash and injury risk of male drivers. Driving behavior-related crashes were mostly concentrated on some interstate road segments, major intersections, and interchanges. The results from this study can be used by authorities and policy-makers to prioritize the use of limited resources, and to run more effective education campaigns to a targeted audience.
... When looking at traffic collisions that resulted in injury or collateral loss, distraction was found to be a factor 68.3 percent of the time. In total, the probability of an accident while driving due to a distraction was two times greater than when the driver was not distracted [7]. Distraction is a factor of between 5% to 25% of all road traffic incidents worldwide [8]. ...
Article
Full-text available
The increase in the number of traffic accidents, deaths, and injuries is a major concern for traffic and safety professionals. Distraction from the road is common, but increases safety concerns. Drivers engage in many behaviors that are a distraction from the task of driving, and these sources may be inside or outside the vehicle. The driver may not have a clear idea of the negative impact of such activities on achieving safe driving. The paper focused on one type of distraction that occurs inside the car, the factor of eating while driving in order to address the question of whether such activities cause anxiety. The effect of eating while driving as an additional task (dual task) compared to driving baseline (single task) on each driver's performance and safety was studied. This research was conducted at the University of Technology-Iraq uses a fixed and medium accuracy driving simulator. To measure driver performance, the driver's ability to maintain a set speed limit was tested. For safety, the driver's ability to avoid accidents was measured. The highway environment scenario was adopted to perform driving experiences for the 42 participants, the length of the road was 15 km, and the driving experience took (30) minutes at a rate of (10-15) minutes for each driving task. The results revealed a decrease in the mean journey speed of all participants during the (dual driving) experiment compared to the results of the mean journey speed (single driving). The speed of females decreased more than males. The youngest age group (19-29) years led at a faster rate than the age groups (30-39), (40-49), and (50-55). No accidents were recorded during the baseline driving task. In the dual driving task, females recorded a higher number of accidents than males. The youth category (19-29) was characterized by recording the largest number of accidents
... When evaluating the proportion of different types of road deaths and DALYs, we can see that the share of motor vehicle road injuries is the highest among young adults, which reflects the fact that a large number of motor vehicle drivers are young males. In addition to exposure-related factors, higher transport-related death rates among young males are probably caused by risky behaviors, such as speeding, 21 distracted driving, 22 rule violations, 23 driving while intoxicated, 24 and not using a seatbelt, which are all more common among young males than other road user groups. 20 The prevalence of these risky behaviors among young drivers is likely to reflect the traffic culture, level of enforcement, and level of driver education, which all vary to a large degree among EMR countries. ...
... When evaluating the proportion of different types of road deaths and DALYs, we can see that the share of motor vehicle road injuries is the highest among young adults, which reflects the fact that a large number of motor vehicle drivers are young males. In addition to exposure-related factors, higher transport-related death rates among young males are probably caused by risky behaviors, such as speeding, 21 distracted driving, 22 rule violations, 23 driving while intoxicated, 24 and not using a seatbelt, which are all more common among young males than other road user groups. 20 The prevalence of these risky behaviors among young drivers is likely to reflect the traffic culture, level of enforcement, and level of driver education, which all vary to a large degree among EMR countries. ...
Article
Full-text available
Background: Transport-related injuries (TIs) are a substantial public health concern for all regions of the world. The present study quantified the burden of TIs and deaths in the Eastern Mediterranean region (EMR) in 2017 by sex and age. Methods: TIs and deaths were estimated by age, sex, country, and year using Cause of Death Ensemble modelling (CODEm) and DisMod-MR 2.1. Disability-adjusted life years (DALYs), which quantify the total burden of years lost due to premature death or disability, were also estimated per 100000 population. All estimates were reported along with their corresponding 95% uncertainty intervals (UIs). Results: In 2017, there were 5.5 million (UI 4.9-6.2) transport-related incident cases in the EMR - a substantial increase from 1990 (2.8 million; UI 2.5-3.1). The age-standardized incidence rate for the EMR in 2017 was 787 (UI 705.5-876.2) per 100000, which has not changed significantly since 1990 (-0.9%; UI -4.7 to 3). These rates differed remarkably between countries, such that Oman (1303.9; UI 1167.3-1441.5) and Palestine (486.5; UI 434.5-545.9) had the highest and lowest age-standardized incidence rates per 100000, respectively. In 2017, there were 185.3 thousand (UI 170.8-200.6) transport-related fatalities in the EMR - a substantial increase since 1990 (140.4 thousand; UI 118.7-156.9). The age-standardized death rate for the EMR in 2017 was 29.5 (UI 27.1-31.9) per 100000, which was 30.5% lower than that found in 1990 (42.5; UI 36.8-47.3). In 2017, Somalia (54; UI 30-77.4) and Lebanon (7.1; UI 4.8-8.6) had the highest and lowest age-standardized death rates per 100,000, respectively. The age-standardised DALY rate for the EMR in 2017 was 1,528.8 (UI 1412.5-1651.3) per 100000, which was 34.4% lower than that found in 1990 (2,331.3; UI 1,993.1-2,589.9). In 2017, the highest DALY rate was found in Pakistan (3454121; UI 2297890- 4342908) and the lowest was found in Bahrain (8616; UI 7670-9751). Conclusion: The present study shows that while road traffic has become relatively safer (measured by deaths and DALYs per 100000 population), the number of transport-related fatalities in the EMR is growing and needs to be addressed urgently.
... In fact, distracted driving is a cause of some of the most serious and fatal injuries (Beanland et al., 2013;Wundersitz, 2019) and disability (Alghnam et al., 2019) in traffic incidents. Educational campaigns are needed to address drivers' misperceptions about the safety of distracted driving (Hoff et al., 2013), particularly in younger drivers (Llerena et al., 2015). In Chile, these education campaigns have started. ...
Article
Bicyclists are vulnerable road users who risk incurring severe injuries from traffic incidents involving motorists. However, the prevalence of severe bicycle injuries varies across countries and is not well-documented in Latin American countries. Studies from developed countries outside of Latin America have shown that individual and contextual factors are associated with severe injuries incurred by bicyclists in road traffic incidents with motorists, but it is not clear whether these factors are the same as those incurred by Latin American bicyclists. Moreover, most studies on bicyclist-motorist traffic incidents have treated injury severity as a binary variable for analysis although injuries range widely in severity. The aims of this study were to determine the prevalence of bicycle injuries from incidents between motorists and bicyclists in Chile and examine the associations between individual and contextual factors and bicyclist injury severity, treated as an ordinal outcome variable, in these incidents. Data on road traffic incidents between bicyclists and motorists from the 2016 Traffic Accident of Bicycle Riders and Consequences database of the Chilean Transport Ministry were analysed. Multilevel mixed-effects ordinal regression models were used to examine associations. In total, 81.2 % of 4093 traffic incidents between bicyclists and motorists resulted in nonfatal injuries to bicyclists and another 2.3 % resulted in fatalities. Most incidents involved collisions (84.3 %), and most were due to a motorist being distracted while driving (50.4 %). Severe bicyclist injuries were more likely when the incident involved a stationary cyclist who was struck, a collision between a moving bicycle and a moving motor vehicle, or an overturning motor vehicle striking a bicyclist (p < 0.001). Other factors included the motorist driving under the influence of alcohol (p = 0.05), the incident taking place in a mid-size community (p = 0.04), the incident occurring between 7:00 pm and 4:59 am (p < 0.01), and the injured bicyclist being under 18 years or 45+ years of age (p < 0.05). These findings suggest the need for educational programs that promote safe driving behaviour in the presence of bicyclists, better enforcement of laws and higher penalties for distracted or drunk driving, and provision of high-quality exclusive bicyclist infrastructure to address the vulnerability of the youngest and oldest bicyclists on shared roads, particularly in mid-size communities, and to provide better lighting on bikeways for evening bicycling, to reduce the high incidence of severe bicyclist injuries in motorist-bicyclist incidents.
... Studies found clear demographical characteristics in PUWD behaviors. Younger drivers tend to have more PUWD, especially texting, behaviors than older drivers (Gras et al., 2007;Hoff et al., 2013;NHTSA, 2019). Male drivers are more likely to talk or text on the phone while driving than female drivers (Backer-Grøndahl and Sagberg, 2011;Brusque and Alauzet, 2008;Chen, 2007;Hallett et al., 2012). ...
Article
Phone use while driving (PUWD) is one of the most crucial factors of distraction related traffic crashes. This study utilized an unsupervised learning method, known as factor analysis, on a unique distracted driving dataset to understand PUWD behavior from the roadway geometry and operational perspectives. The results indicate that the presence of a shoulder, median, and access control on the relatively higher functional class roadways could encourage more PUWD events. The roadways with relatively lower speed limits could have high PUWD event occurrences if the variation in operating speed is high. The results also confirm the correlations between the frequency of PUWD events and the frequency of distracted crashes. This relationship is strong on urban roadways. For rural roadways, this correlation is only strong on the roadways with a large amount of PUWD events. The findings could help transportation agencies to identify suitable countermeasures in reducing distraction related crashes. Moreover, this study provides researchers a new perspective to study PUWD behavior rather than only focus on drivers' personalities.
Article
Despite concerns over distracted driving, many Americans still engage in risky activities while driving, leading to crashes and fatal outcomes. This study aims to investigate the impact of individual risk attitudes and in-vehicle technologies on various types of distracted driving behaviors (DDB), providing insights into the factors that contribute to an increased likelihood of DDB and enhancing an understanding of the effects of advanced vehicle technologies (AVT) on driver behavior. The analysis leverages self-reported survey questionnaire data from a nationally representative sample of participants. To assess the relationships between the variables, exploratory factor analysis and multiple linear regression analysis were used. The findings revealed that the presence of AVT and individual risk attitudes each predicted DDB. The presence of driver-assist and safety features did, however, lead to some degree of decreased distracted driving. Convenience features, such as Wi-Fi and Bluetooth, were most likely to increase DDB, highlighting the need for the design of AVT systems to minimize distracted driving while leveraging the benefits of technology. The data also indicate that other factors affect DDB. Notably, younger individuals engaged in more DDB compared with older individuals, and individuals who drive more frequently and for longer distances also exhibited a higher frequency of DDB. Factors such as driving experience and exposure also affected DDB, with driving exposure having a more substantial influence.
Article
Introduction Distracted driving is a major risk factor for motor vehicle crashes, especially for young drivers. This study examines factors that contribute to the exposure of young drivers to distracted driving behaviors. Methods Data from the 2015 National Survey on Distracted Driving Attitudes and Behaviors was used to determine the influence that perceived safety, likelihood to do or say something, social norms, and demographic variables have on self-reported cell phone distracted driving. Our population included 16–24-year old drivers. Dependent variables were texting (reading and sending a text/email) and smartphone app use while driving. Rao-Scott chi-squared tests and multivariate logistic regression models were applied. Sampling weights were applied to create nationally representative estimates and all statistical tests accounted for complex survey design. Results Among young drivers who report cell phone use while driving, 42% reported reading a text, 33% reported sending a text, and 23% reported smartphone app use. Multivariate regression results showed that perceived safety had the strongest association with reporting texting and smartphone app use while driving. In addition, social norms and age-education were significantly associated with reporting sending a text/email and reading a text/email while driving, respectively. Conclusions The current study found significant relationships between attitudes and behaviors about cell phone use while driving and self-reported engagement in distracted driving. Practical applications Interventions with an emphasis on changing perceived safety and social norms for young drivers could be beneficial for reducing engagement in cell phone use while driving.
Article
Full-text available
AAA Foundation for Traffic Safety is a 501(c)(3) non-profit organization. The Foundation's mission is to prevent traffic deaths and injuries through research into their causes and to educate the public about strategies to prevent crashes and reduce injuries.
Article
Full-text available
This research aims to identify the impact of text messaging on simulated driving performance. In the past decade, a number of on-road, epidemiological, and simulator-based studies reported the negative impact of talking on a cell phone on driving behavior. However, the impact of text messaging on simulated driving performance is still not fully understood. Forty participants engaged in both a single task (driving) and a dual task (driving and text messaging) in a high-fidelity driving simulator. Analysis of driving performance revealed that participants in the dual-task condition responded more slowly to the onset of braking lights and showed impairments in forward and lateral control compared with a driving-only condition. Moreover, text-messaging drivers were involved in more crashes than drivers not engaged in text messaging. Text messaging while driving has a negative impact on simulated driving performance. This negative impact appears to exceed the impact of conversing on a cell phone while driving. The results increase our understanding of driver distraction and have potential implications for public safety and device development.
Article
Full-text available
This research examined the effects of hands-free cell phone conversations on simulated driving. The authors found that these conversations impaired driver's reactions to vehicles braking in front of them. The authors assessed whether this impairment could be attributed to a withdrawal of attention from the visual scene, yielding a form of inattention blindness. Cell phone conversations impaired explicit recognition memory for roadside billboards. Eye-tracking data indicated that this was due to reduced attention to foveal information. This interpretation was bolstered by data showing that cell phone conversations impaired implicit perceptual memory for items presented at fixation. The data suggest that the impairment of driving performance produced by cell phone conversations is mediated, at least in part, by reduced attention to visual inputs.
Article
Our research examined the effects of hands-free cell-phone conversations on simulated driving. We found that even when participants looked directly at objects in the driving environment, they were less likely to create a durable memory of those objects if they were conversing on a cell phone. This pattern was obtained for objects of both high and low relevance, suggesting that very little semantic analysis of the objects occurs outside the restricted focus of attention. Moreover, in-vehicle conversations do not interfere with driving as much as cell-phone conversations do, because drivers are better able to synchronize the processing demands of driving with in-vehicle conversations than with cell-phone conversations. Together, these data support an inattention-blindness interpretation wherein the disruptive effects of cell-phone conversations on driving are due in large part to the diversion of attention from driving to the phone conversation.
Article
We examined trends in distracted driving fatalities and their relation to cell phone use and texting volume. The Fatality Analysis Reporting System (FARS) records data on all road fatalities that occurred on public roads in the United States from 1999 to 2008. We studied trends in distracted driving fatalities, driver and crash characteristics, and trends in cell phone use and texting volume. We used multivariate regression analysis to estimate the relation between state-level distracted driving fatalities and texting volumes. After declining from 1999 to 2005, fatalities from distracted driving increased 28% after 2005, rising from 4572 fatalities to 5870 in 2008. Crashes increasingly involved male drivers driving alone in collisions with roadside obstructions in urban areas. By use of multivariate analyses, we predicted that increasing texting volumes resulted in more than 16,000 additional road fatalities from 2001 to 2007. Distracted driving is a growing public safety hazard. Specifically, the dramatic rise in texting volume since 2005 appeared to be contributing to an alarming rise in distracted driving fatalities. Legislation enacting texting bans should be paired with effective enforcement to deter drivers from using cell phones while driving.
Article
Current data suggest that each year, at least 1.6 million traffic accidents (28% of all crashes) in the United States are caused by drivers talking on cell phones or texting. Dr. Amy Ship urges physicians to ask patients about driving and distraction.
Article
Adolescents who drive with peers are known to have a higher risk of crashes. While passengers may distract drivers, little is known about the circumstances of these distractions among teen drivers. This study used survey data on driving among 2,144 California high school seniors to examine distractions caused by passengers. Overall, 38.4% of youths who drove reported having been distracted by a passenger. Distractions were more commonly reported among girls and students attending moderate- to high-income schools. Talking or yelling was the most commonly reported type of distraction. About 7.5% of distractions reported were deliberate, such as hitting or tickling the driver or attempting to use the vehicle's controls. Driving after alcohol use and having had a crash as a driver were both significant predictors of reporting passenger-related distraction. Adolescents often experience distractions related to passengers, and in some cases these distractions are intentional. These results provide information about teenage drivers who are distracted by passenger behaviors. In some cases, passengers attempted to use vehicle controls; however, it seems unlikely that this behavior is common enough to warrant redesign of controls to make them less accessible to passengers.
Article
Dual-task studies assessed the effects of cellular-phone conversations on performance of a simulated driving task. Performance was not disrupted by listening to radio broadcasts or listening to a book on tape. Nor was it disrupted by a continuous shadowing task using a handheld phone, ruling out, in this case, dual-task interpretations associated with holding the phone, listening, or speaking, However significant interference was observed in a word-generation variant of the shadowing task, and this deficit increased with the difficulty of driving. Moreover unconstrained conversations using either a handheld or a hands-free cell phone resulted in a twofold increase in the failure to detect simulated traffic signals and slower reactions to those signals that were detected. We suggest that cellular-phone use disrupts performance by diverting attention to an engaging cognitive context other than the one immediately associated with driving.
Cell phone induced failures of visual attention during simulated driving
  • D L Strayer
  • F A Drews
  • Johnson Wa
Strayer DL, Drews FA, Johnson WA. Cell phone induced failures of visual attention during simulated driving. J Exp PsycholAppl. 2003 ; 9 : 23-52.
Cell-phone induced inattention blindness.
  • Strayer
Strayer DL, Drews FA. Cell-phone induced inattention blindness. Curr Dir Psych Sci. 2001 ; 16 : 128-131.