Driver sleepiness, fatigue, careless behavior and risk of motor vehicle crash and injury: Population based case and control study

Bener, Abdulbari; Yıldırım, Erol; Özkan, Türker; Lajunen, Timo

doi:10.1016/j.jtte.2017.07.005

Cited by 75 publications

(82 citation statements)

References 26 publications

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“…This result was similar to previous studies in Addis Ababa [13,19]and Bahir Dar city [12].The driving experience of less than 5 years wasassociatedwith a higher human death perroad traffic accidents as compared to those who have more than 5 yearsdriving experience. Similarly, prior studies reported that the smaller driving experience the higher probability of experiencing human deaths per accident [16][17][18]. Among vehicle types, numbers of deaths due to road traffic accidents by automobiles weresignificantly greater than other vehicle types.…”

Section: Discussionmentioning

confidence: 62%

“…The response variable of this study was the number of human deaths per road traffic accident in Oromia region measured as 0, 1, 2, 3…A human death includes pedestrians, road users, passengers or other peoples dead due to road traffic accident. The potential predictors related to the number of human deaths per road traffic accident adopted from various literature [16][17][18][19][20][21][22]…”

Section: Variables Of the Studymentioning

confidence: 99%

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Statistical modeling of number of human deaths per road traffic accident in Oromia region, Ethiopia

Aga

Woldeamanuel

Tadesse

2020

Preprint

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Background: Globally, road traffic accidents are leading causes of death among young people in general, and the main cause of death among young people aged 15–29 years. Recently, in Ethiopia, the average number of road traffic accidents has been increasing, particularly the Oromia regional state is experiencing a higher road traffic fatalities. This study was conducted to identify the major factors associated with the number of human deaths by road traffic accident in the Oromia Regional State, Ethiopia. Methods: We used data obtained from the Oromia Police Commission Bureau that have been recorded on daily basis road traffic accidents from July, 2016 - July, 2017. Count regression models were was used to assess the factors associated with the number of human deaths from road traffic accidents.Results: Of the total of 3900 road traffic accidents included in the 1188 (30.5%) were giving rise to fatal. The Hurdle models were of better fit than zero inflated Poisson and zero inflated negative binomial model. Thus, the Hurdle Poisson is recommended in this study. Age of the driver 31-50 years (AOR = 0.289, 95%CI: 0.175, 0.479) and higher than 50 years of age (AOR = 0.311, 95%CI: 0.129, 0.751), driver’s years of experience 5-10 years (AOR = 0.014, 95%CI:0.007, 0.027), and more than 10 years (AOR = 0.101, 95%CI:0.057, 0.176), vehicle type automobile (AOR = 8.642, 95%CI:2.7644, 27.023), vehicle years of service 5-10 years (AOR = 2.484, 95%CI:1.194, 5.169), and more than 10 years (AOR = 2.639,95%CI:1.268, 5.497), type of accident, vehicle upside down (AOR = 5.560,95%CI: 2.506, 12.336), causes of accident, turning illegal position (AOR = 0.454, 95%CI:0.226, 0.913), area of accident, residential place (AOR = 108.506, 95%CI: 13.725, 857.798), working areas (AOR = 129.606, 95%CI: 16.448, 1021.263), near hospitals (AOR =23.789, 95%CI: 3.038, 186.298), geographical locations, Western zones (AOR = 0.275, 95%CI: 0.167, 0.455), and South east zones (AOR = 0.624, 95%CI: 0.410, 0.950) were significant associated number of human deaths per road traffic accident factors in the study area.Conclusion: In this study,30.5% of accidents were giving rise to at least one human death per road traffic accident and different associated numbers of human deaths per road traffic accident factors have been identified. Thus, interventions by the bodies concerned with introduction educational programs that will create awareness about road traffic accidents and the associated human deaths, especially targeting road users, young drivers, passengers and pedestrians.

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Section: Discussionmentioning

confidence: 62%

Section: Variables Of the Studymentioning

confidence: 99%

Statistical modeling of number of human deaths per road traffic accident in Oromia region, Ethiopia

Aga

Woldeamanuel

Tadesse

2020

Preprint

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“…Data from the cited research make it possible to predict road accidents. In our opinion, considering the statistics of road accident in predicting its occurrence would render the models reported in papers [14,15] greater reliability; the authors, however, did not consider it. The safety of internationalization of inland road transportation in the European Union is being investigated in [16].…”

Section: Literature Review and Problem Statementmentioning

confidence: 97%

“…The authors predict the driver's condition and, consequently, the probability of road accidents. A study by authors from Turkey [15] establishes the relationship between accidents involving a vehicle and serious injuries and fatigue, careless behavior, and sleep. A multi-variant logistical regression, obtained from several selective observations, found that excessive speed, fatigue, errors, the Stanford indicator of drowsiness, breach, the use of mobile phones, as well as the Epworth sleepiness scale, were related to injuries in a car crash, after adjusting for ride experience and annual mileage.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Minimization of transportation risks in logistics by choosing a cargo delivery route with the minimal projected number of road accidents

Oklander

Yashkina²,

Yashkin³

2019

EEJET

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“…e time saving is argued as a main reason by Summala [9], which can trigger an increase in speed (assuming higher risk) to meet the objective (arrive early). Tiredness behind the wheel is one of the risk factors that has been highlighted by Bener, Yildirim [11]. Driving throughout long periods of time without rest phases makes driving a monotonous task, reducing the ability of driver to drive safely until dangerous limits [12].…”

Section: Introductionmentioning

confidence: 99%

The Role of Journey Purpose in Road Traffic Injuries: A Bayesian Network Approach

Febres

Mohamadi

Saldaña

et al. 2019

Journal of Advanced Transportation

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Introduction. Road traffic injuries are now regarded as the eighth leading cause of death globally. For example, in 2016, 102,362 traffic injuries took place in Spain in which 174,679 drivers suffered injuries. These findings necessitated the development of the current study which focuses on the prime factors that cause this type of injuries. The aim of this study, therefore, is to explore the behavioral factors that entail a higher risk of suffering either a serious or a fatal injury for drivers. Methods. The findings are based on information and data provided by “Dirección General de Tráfico” (DGT) in Spain on traffic injuries that occurred in the year 2016. Reviewing a wide range of the literature, the authors identified the most influential variables and created a model using the Bayesian networks. The variables that define the model are grouped into four factors: vehicle factor, road factor, circumstantial factor and human factor. Results. The results suggest that the principal variables that determine a higher probability of serious or fatal injuries in traffic injuries are: lack of using appropriate safety accessories, high-speed violations, distractions as well as errors. Finally, the research shows the severity probability based on reason of displacement (“in itinere,” on business, or in leisure).

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Driver sleepiness, fatigue, careless behavior and risk of motor vehicle crash and injury: Population based case and control study

Cited by 75 publications

References 26 publications

Statistical modeling of number of human deaths per road traffic accident in Oromia region, Ethiopia

Statistical modeling of number of human deaths per road traffic accident in Oromia region, Ethiopia

Minimization of transportation risks in logistics by choosing a cargo delivery route with the minimal projected number of road accidents

The Role of Journey Purpose in Road Traffic Injuries: A Bayesian Network Approach

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