An observational study of driving distractions on urban roads in Spain

Prat, Francesc; Pedra, Montserrat Planes; Gras, Maria Eugènia; Sullman, Mark J.M.

doi:10.1016/j.aap.2014.10.003

Cited by 86 publications

(66 citation statements)

References 24 publications

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“…According to our pre-investigation [16], these three are common distracted driving behaviours among the Chinese drivers. It also accords with the existing literature research [3], which showed that drinking water and answering a mobile phone are very common distraction behaviours. The effects of three driving distraction behaviours on the driving performance, as well as their respective risk level, are not the same, and thus can fully reflect the driver's various distracted driving behaviours.…”

Section: Selection Of Typical Distracted Driving Behaviourssupporting

confidence: 90%

“…The distracted driving behaviour caused by mobile phone use is also common. A large number of studies have indicated that frequency of mobile phone usage (answering the phone, texting, and using mobile phone APP) while driving is significantly related to the number of traffic crashes [1][2][3]. A survey by Ford Motor shows that 59% of the Chinese drivers will use We Chat, a new type of social and instant messaging APP, while driving [9].…”

Section: Data Collection For Distracted Driving Behaviours Studymentioning

confidence: 99%

“…Using mobile phones or equipment in the car, eating, drinking water, smoking, and chatting with passengers are common secondary tasks when driving [2]. Prat et al found that nearly 20% of the drivers engaged in distracted driving behaviours related to the secondary task while driving [3]. Getting involved in the secondary task would increase the distraction occurrence and accident severity, and sufficient efforts should be made to reduce and eliminate driving distractions.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Selection Of Typical Distracted Driving Behaviourssupporting

confidence: 90%

Section: Data Collection For Distracted Driving Behaviours Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Exploration of Contributing Factors of Different Distracted Driving Behaviors

Shi

Peng

Xiao

2019

PROMET

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“…His studies also showed that mobile phone use was only the third most common, with smoking and conversing with a passenger being more common in Spain. The overall level of driver distraction has been found to vary greatly between studies [3]. The differences between the studies can largely be attributed to differences in methodology such as the: type of roads observed, traffic density owing to timing of the day i.e.…”

Section: Primary Driving Distractions and The Resulting Traffic Smentioning

confidence: 97%

Driver's Behaviour Monitoring on Urban Roads of a Tier 2 City in India

Mishra

Bajaj

2015

2015 7th International Conference on Emerging Trends in Engineering &Amp; Technology (ICETET)

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There are significant differences in individual driving patterns of drivers due to each one's varying social behaviours.A driver's incorrect perception and misinterpretation of true traffic scenario owing to his social behavioural approach causes significant problem for road traffic safety as it leads to degraded performance of driving pattern. Hence there is an urgent need to take measures and develop modules which work for the reduction of road traffic accidents. This paper proposes an approach which will try to analyze the factors which affect the social behavior of a driver. An observational study was carried out in the city of Nagpur with the help Also live observations were undertaken during daylight hours by installing CCTV cameras to monitor traffic. The observations mainly tried to focus on whether drivers were engaged in any visible type of secondary activity while driving or involved in any type of traffic violation because of aggressive pattern or casual approach. The observations were quite alarming and based on results some approaches have been proposed which help to analyze the relationship between factors causing driving errors and traffic accidents.

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“…A strand of literature that focuses on the eects of smoking on public health outcomes nds that smoking reduction, particularly due to increases in cigarette prices and taxes, lead to an increased life expectancy and improved birth and infant health outcomes (Evans and Ringel, 1999;Markowitz, 2008;Markowitz et al, 2013;Simon, 2016). Similarly, several studies consistently suggest smoking as a risk factor contributing to motor vehicle collision (Brison, 1990;Christie, 1991;Violanti and Marshall, 1996;Stutts et al, 2001;Mangiaracina and Palumbo, 2006;Young, Regan and Hammer, 2007;Prat et al, 2015;Lansdown, Stephens and Walker, 2015;Sullman, Prat and Tasci, 2015).…”

Section: Introductionmentioning

confidence: 99%

Cigarette prices and driving fatalities among youths

Shrestha

2019

Economics Letters

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Deaths from motor vehicle crashes are a leading cause of unintentional deaths in the United States. This paper investigates the eect of increases in cigarette taxes and prices following the Master Settlement Agreement (MSA) on non-alcohol and alcohol-related motor vehicle fatalities among youths. I nd that increases in cigarette taxes and prices are associated with a reduction in non-alcohol related accidents between 1998 and 2006 among 16-to-20 year olds.

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An observational study of driving distractions on urban roads in Spain

Cited by 86 publications

References 24 publications

Exploration of Contributing Factors of Different Distracted Driving Behaviors

Exploration of Contributing Factors of Different Distracted Driving Behaviors

Driver's Behaviour Monitoring on Urban Roads of a Tier 2 City in India

Cigarette prices and driving fatalities among youths

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