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Risk factors of mobile phone use while driving in Queensland: Prevalence, attitudes, crash risk perception, and task-management strategies
by
Oviedo-Trespalacios, Oscar
, Haque, Md. Mazharul
, King, Mark
, Washington, Simon
in
Accidents, Traffic - statistics & numerical data
/ Adolescent
/ Adult
/ Aged
/ Attitude
/ Automobile Driving - statistics & numerical data
/ Behavior
/ Biology and Life Sciences
/ Browsing
/ Cell Phone - statistics & numerical data
/ Cell phones
/ Cellular telephones
/ Civil engineering
/ Cognitive ability
/ Communication
/ Crashes
/ Demographic aspects
/ Demography
/ Dilution
/ Driver behavior
/ Driving ability
/ Enforcement
/ Engineering and Technology
/ Female
/ Human factors
/ Humans
/ Logistic Models
/ Male
/ Males
/ Management
/ Middle Aged
/ Motor vehicle drivers
/ Passengers
/ People and Places
/ Perception
/ Police
/ Prevalence
/ Prevention
/ Queensland - epidemiology
/ Regression analysis
/ Regression models
/ Research and Analysis Methods
/ Risk analysis
/ Risk Factors
/ Risk management
/ Risk perception
/ Safety and security measures
/ Safety engineering
/ Safety margins
/ Self Report
/ Short message service
/ Social networks
/ Social Sciences
/ Studies
/ Talking
/ Text messaging
/ Text Messaging - statistics & numerical data
/ Traffic accidents & safety
/ Traffic safety
/ Use statistics
/ Wireless telephones
/ Young Adult
2017
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Risk factors of mobile phone use while driving in Queensland: Prevalence, attitudes, crash risk perception, and task-management strategies
by
Oviedo-Trespalacios, Oscar
, Haque, Md. Mazharul
, King, Mark
, Washington, Simon
in
Accidents, Traffic - statistics & numerical data
/ Adolescent
/ Adult
/ Aged
/ Attitude
/ Automobile Driving - statistics & numerical data
/ Behavior
/ Biology and Life Sciences
/ Browsing
/ Cell Phone - statistics & numerical data
/ Cell phones
/ Cellular telephones
/ Civil engineering
/ Cognitive ability
/ Communication
/ Crashes
/ Demographic aspects
/ Demography
/ Dilution
/ Driver behavior
/ Driving ability
/ Enforcement
/ Engineering and Technology
/ Female
/ Human factors
/ Humans
/ Logistic Models
/ Male
/ Males
/ Management
/ Middle Aged
/ Motor vehicle drivers
/ Passengers
/ People and Places
/ Perception
/ Police
/ Prevalence
/ Prevention
/ Queensland - epidemiology
/ Regression analysis
/ Regression models
/ Research and Analysis Methods
/ Risk analysis
/ Risk Factors
/ Risk management
/ Risk perception
/ Safety and security measures
/ Safety engineering
/ Safety margins
/ Self Report
/ Short message service
/ Social networks
/ Social Sciences
/ Studies
/ Talking
/ Text messaging
/ Text Messaging - statistics & numerical data
/ Traffic accidents & safety
/ Traffic safety
/ Use statistics
/ Wireless telephones
/ Young Adult
2017
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Risk factors of mobile phone use while driving in Queensland: Prevalence, attitudes, crash risk perception, and task-management strategies
by
Oviedo-Trespalacios, Oscar
, Haque, Md. Mazharul
, King, Mark
, Washington, Simon
in
Accidents, Traffic - statistics & numerical data
/ Adolescent
/ Adult
/ Aged
/ Attitude
/ Automobile Driving - statistics & numerical data
/ Behavior
/ Biology and Life Sciences
/ Browsing
/ Cell Phone - statistics & numerical data
/ Cell phones
/ Cellular telephones
/ Civil engineering
/ Cognitive ability
/ Communication
/ Crashes
/ Demographic aspects
/ Demography
/ Dilution
/ Driver behavior
/ Driving ability
/ Enforcement
/ Engineering and Technology
/ Female
/ Human factors
/ Humans
/ Logistic Models
/ Male
/ Males
/ Management
/ Middle Aged
/ Motor vehicle drivers
/ Passengers
/ People and Places
/ Perception
/ Police
/ Prevalence
/ Prevention
/ Queensland - epidemiology
/ Regression analysis
/ Regression models
/ Research and Analysis Methods
/ Risk analysis
/ Risk Factors
/ Risk management
/ Risk perception
/ Safety and security measures
/ Safety engineering
/ Safety margins
/ Self Report
/ Short message service
/ Social networks
/ Social Sciences
/ Studies
/ Talking
/ Text messaging
/ Text Messaging - statistics & numerical data
/ Traffic accidents & safety
/ Traffic safety
/ Use statistics
/ Wireless telephones
/ Young Adult
2017
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Risk factors of mobile phone use while driving in Queensland: Prevalence, attitudes, crash risk perception, and task-management strategies
Journal Article
Risk factors of mobile phone use while driving in Queensland: Prevalence, attitudes, crash risk perception, and task-management strategies
2017
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Overview
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.
Publisher
Public Library of Science,Public Library of Science (PLoS)
Subject
Accidents, Traffic - statistics & numerical data
/ Adult
/ Aged
/ Attitude
/ Automobile Driving - statistics & numerical data
/ Behavior
/ Browsing
/ Cell Phone - statistics & numerical data
/ Crashes
/ Dilution
/ Female
/ Humans
/ Male
/ Males
/ Police
/ Research and Analysis Methods
/ Safety and security measures
/ Studies
/ Talking
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