Examining the relationship between impaired driving and past crash involvement in Europe: Insights from the ESRA study

Ζιακόπουλος, Απόστολος; Theofilatos, Athanasios; Laiou, Alexandra; Michelaraki, Eva; Yannis, George; Rosenbloom, Tova

doi:10.1080/17457300.2021.1928234

Cited by 6 publications

(7 citation statements)

References 42 publications

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“…It is well known that this kind of data are often less accurate and include inherent biases (Backer-Grøndahl & Sagberg, 2011). The bias may be from a misunderstanding of the question to desirability or recall bias (Ziakopoulos et al, 2021a). However, because most of the answers are drawn from a time period of a month recall error can reasonably be assumed to be limited.…”

Section: Discussionmentioning

confidence: 99%

“…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: 99%

“…However, the minimum sample of 1,000 respondents 1 Austria, Belgium, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Netherlands, Poland, Portugal, Serbia, Slovenia, Spain, Sweden, Switzerland, United Kingdom, Canada, USA, Australia, India, Israel, Japan, Republic of Korea, Egypt, Kenya, Morocco, Nigeria, South Africa, Bulgaria, Iceland, Luxembourg, Norway, Colombia, Lebanon, Malaysia, Thailand, Vietnam, Benin, Cameroon, Ghana, Ivory Coast, Tunisia, Uganda, Zambia. could not be met in all countries, due to the size of the available online panels in certain countries (Ziakopoulos et al, 2021a). Table 2 summarizes the sample size, gender, and age group distribution by regions in the ESRA2 study (Meesmann et al, 2021).…”

Section: Data Collection and Sample Characteristicsmentioning

confidence: 99%

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

Zoupos

Ζιακόπουλος

Yannis

2021

TSR

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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.

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Section: Discussionmentioning

confidence: 99%

Section: The Esra Surveymentioning

confidence: 99%

Section: Data Collection and Sample Characteristicsmentioning

confidence: 99%

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

Zoupos

Ζιακόπουλος

Yannis

2021

TSR

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“…Ref. [20] used EFA to identify the most suitable factor structure for drivers in New Zealand and explored the correlations between factor outcomes and crash involvement. Ref.…”

Section: Introduction To Efa and Auditmentioning

confidence: 99%

Car/Motorbike Drivers’ Willingness to Use and to Pay for Alcohol Interlock in Taiwan

Jou

2021

IJERPH

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This study explored the important factors affecting drunk car/motorbike drivers’ willingness to use and pay for alcohol interlocks. Data were obtained through a survey upon choice-based sampling conducted in central Taiwan. Questionnaires were distributed to the participants of drunk driving and road safety education courses from 17 August to 26 October 2020. All drunk drivers whose driver’s licenses are revoked for drunk driving are mandated to participate in this course. Prior to the survey, the researchers explained the questionnaires, instructed the participants to complete the questionnaires, and then collected all the questionnaires. The socioeconomic characteristics of drunk drivers, awareness of alcohol interlocks and drunk driving, drinking patterns and health self-assessment before and after drunk driving ban enforcement, and changes in the number of trips were investigated. This study applied the double-hurdle model for data analysis to estimate the variables affecting drunk car/motorbike drivers. Results indicate that the respondents who were classified by the Alcohol Use Disorders Identification Test as high-risk drinkers before and after drunk driving ban enforcement were more willing to use alcohol interlocks and to pay higher prices. Additionally, the respondents with declined health self-assessments were also more willing to use alcohol interlocks and pay higher prices. This study suggests offering subsidies for alcohol interlocks to families with financial difficulties, in order to increase the alcohol interlock installation rate. Moreover, since the current duration of license suspension and withdrawal is considerably long, drunk drivers avoid using and installing alcohol interlocks by reducing the number of trips. In other words, the willingness to install alcohol interlocks may be increased by reducing the duration of license suspension and withdrawal.

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“…According to the World Health Organization (WHO), 5% to 35% of the total number of deaths in road traffic crashes come from driving under the influence of alcohol ( 7 ). According to the European Survey of Road Users’ Safety Attitudes (ESRA) project, alcohol contributed to the occurrence of 20% to 25% of the total number of road traffic crashes with fatalities at the European level ( 8 ). In addition, as stated in the Social Attitudes to Road Traffic Risk in Europe (SARTRE4) project, driving under the influence of alcohol is a factor in the occurrence of one out of four road traffic crashes ( 9 ).…”

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confidence: 99%

What Affects the Perception of a Drunk Driving Campaign?

Pešić

Trifunović

et al. 2022

Transportation Research Record: Journal of the Transportation R

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Driving under the influence of alcohol has been recognized as a significant contributing factor to the occurrence of one out of four road traffic crashes. Young drivers are acknowledged as a particularly hazardous group of road users because of insufficient driving experience, but also because of unsafe behavior while behind the wheel, which encompasses driving under the influence of alcohol. The primary aim of this study was to examine the perception of a campaign about driving under the influence of alcohol, while the secondary goal is to present the self-reported behavior and attitudes of young drivers about driving under the influence of alcohol in the Republic of Serbia. Data were collected through a questionnaire created by a multidisciplinary team of experts in the fields of traffic engineering, psychology, and education. A total of 4,015 respondents participated in the study, aged from 16 to 30. The results show that younger respondents have a 1.89 times higher chance of remembering the road traffic safety campaign then older ones. In addition, respondents were 5.057 times more likely to perceive and remember campaign messages that have fewer words than campaign messages that have more words.

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Examining the relationship between impaired driving and past crash involvement in Europe: Insights from the ESRA study

Cited by 6 publications

References 42 publications

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

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

Car/Motorbike Drivers’ Willingness to Use and to Pay for Alcohol Interlock in Taiwan

What Affects the Perception of a Drunk Driving Campaign?

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