Impaired driving due to alcohol or drugs: International differences and determinants based on E-Survey of Road Users' Attitudes first-wave results in 32 countries

Goldenbeld, C; Torfs, Katrien; Vlakveld, W P; Houwing, Sjoerd

doi:10.1016/j.iatssr.2020.07.005

Cited by 25 publications

(10 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…4 Globally, an average of between 11% and 17% of drivers in major regions report to have engaged in this behavior. 20 In this study in Metro Manila, 'hit object' is 12.557 (95% CI [1.478-106.694]) times more likely to cause driver fatality. According to Insurance Institute for Highway Safety (IIHS), about 20 percent of motor vehicle crash deaths result from a vehicle leaving the roadway and hitting a fixed object alongside the road.…”

Section: Discussionmentioning

confidence: 65%

The Effect of Suspected Alcohol Intoxication on Fatality and Injuries of Road Users in Metro Manila — 2005-2020

Herbosa

2022

Acta Med Philipp

View full text Add to dashboard Cite

Introduction. The ever-increasing global road traffic accidents is caused by several risk factors: human factors, vehicle factors, and road environmental factors. In the Philippines, 12,000 road users die annually due to road crashes and almost one-third are alcohol-related crashes.Objectives. This study aims to investigate the effects of suspected alcohol intoxication on the severity of injuries among drivers and passengers in a major urban region in the Philippines using the Metro Manila Accident Recording and Analysis System (MMARAS) of the Metropolitan Manila Development Authority from 2005 to 2020.Methods. The Metro Manila Accident Recording and Analysis System (MMARAS) was used to determine the data on trends and association for alcohol-related road crashes, while descriptive and inferential statistics such as logistic and multinomial regression were used to determine trends and associations.Results. Suspected alcohol intoxication road crash cases in Metro Manila have decreased from 45 cases in 2005 to 31 cases in 2020. The year 2011 recorded the highest cases of alcohol-suspected road crashes. The years 2010, 2011, and 2012 recorded the highest number of driver’s death while 2005, 2006, 2014, and 2019 recorded higher deaths for passengers. Cars and motorcycles are the most commonly involved vehicles in alcohol-suspected road crashes, while Quezon City (n=307) and Marikina City (n=267) are the common places of incidence for drunk-driving accidents. On the other hand, alcohol intoxication increases the risk of driver’s death (OR=9.16; 95% CI [5.388-15.574]) and injury (OR=5.22; 95% CI [4.487-6.074]). While intoxicated, hitting an object (OR = 12.557; 95% CI [1.478-106.694]) and truck collisions (OR=7.176; 96% CI [1.261-40.817]) can increase the risk for driver’s death. Meanwhile, side swipe (OR=2.330; 95% CI [1.029-5.277]) and angle impact (OR= 7.972; 95% CI [1.804-35.227]), increase the odds for driver injuries.Conclusion. Suspected alcohol intoxication road crashes can be prevented; however, a collaborative effort is needed. The government is responsible for road safety education as well as effectively enforcing road safety-related laws, while the road users shall use the roadways responsibly.

show abstract

Section: Discussionmentioning

confidence: 65%

The Effect of Suspected Alcohol Intoxication on Fatality and Injuries of Road Users in Metro Manila — 2005-2020

Herbosa

2022

Acta Med Philipp

View full text Add to dashboard Cite

show abstract

“…13% of drivers admitted to driving while intoxicated within the previous 30 days. These percentages for driving while intoxicated were similar in the participating African and North American nations (11%, 14%, and 17%)(Goldenbeld et al, 2020).…”

mentioning

confidence: 60%

A scientometric analysis and bibliometric review of driver injury severity crashes studies

Mahdi

Zubaidi

Das

2023

QJES

View full text Add to dashboard Cite

One of the worst epidemics that endangers our life and has an impact on the future is the epidemic of road accidents. The goal of this study is to define traffic accidents, comprehend their causes, pinpoint the key elements that affect the seriousness of driver injuries, and ultimately identify the factors that contribute to accidents, such as excessive speed, alcohol, and drug use, the driver, the road, the vehicle, and environmental factors. Understanding prior research and studies is crucial. In earlier experiments, data visualization was accomplished using the VOS viewer. The Dimension, Web of Science, and Scopus websites were used to download the information for the keywords in Excel format. By country, it lists these terms, authors, and researchers. The researcher was able to conduct a study that was identical to his or her study with the aid of the keywords " driver injury severity," " driver crash," and " crash analysis.".

show abstract

“…Indicatively, Yannis et al (2020) explored the road safety performance and attitudes of vulnerable road users (VRUs). Goldenbeld et al (2020) found that in Europe drug driving was less frequently reported than drinking and driving, while in other continents it was reported as frequently. Ziakopoulos et al (2021a) examined several unsafe powered-twowheeler rider behaviours using ESRA2 data and found that they are correlated with a number of causal factors and with each other.…”

Section: The Esra Surveymentioning

confidence: 96%

Modelling self-reported driver perspectives and fatigued driving via deep learning

Zoupos

Ζιακόπουλος

Yannis

2021

TSR

View full text Add to dashboard Cite

Driving while fatigued is a considerably understudied risk factor contributing to car crashes every year. The first step in mitigating the respective crash risks is to attempt to infer fatigued driving from other parameters, in order to gauge its extend in road networks. The aim of this study is to investigate the extent to which declared fatigued driving behavior can be predicted based on overall driver opinions and perceptions on that issue. For that purpose, a broad cross-country questionnaire from the ESRA2 survey was used. The questionnaire is related to self-declared beliefs, perception, and attitudes towards a wide range of traffic safety topics. Initially, a binary logistic regression model was trained to provide causal insights on which variables affect the likelihood that a driver engaged in driving while fatigued. Drivers reporting driving under the influence of drugs, fatigue, or alcohol, as well as speeding, safety, and texting while driving or drivers who were more acceptable of fatigued driving were more likely to have recently driven while fatigued. In contrast, acceptability of other hazardous behaviors, namely mobile phone use and drunk driving, was negatively correlated with fatigued driving behavior, as were more responsible driver perspectives overall. To provide a more accurate detection mechanism, which would also incorporate non-linear effects, a Deep Neural Network (DNN) was subsequently trained on the data, slightly outperforming the binary logistic model. From the results of both models, it was concluded that declared fatigued driving behavior can be predicted from questionnaire data, providing new insights to fatigue detection.

show abstract

Impaired driving due to alcohol or drugs: International differences and determinants based on E-Survey of Road Users' Attitudes first-wave results in 32 countries

Cited by 25 publications

References 22 publications

The Effect of Suspected Alcohol Intoxication on Fatality and Injuries of Road Users in Metro Manila — 2005-2020

The Effect of Suspected Alcohol Intoxication on Fatality and Injuries of Road Users in Metro Manila — 2005-2020

A scientometric analysis and bibliometric review of driver injury severity crashes studies

Modelling self-reported driver perspectives and fatigued driving via deep learning

Contact Info

Product

Resources

About