Risky driving and recorded driving offences: A 24-year follow-up study

Summala, Heikki; Rajalin, S; Radun, Igor

doi:10.1016/j.aap.2014.08.008

Cited by 24 publications

(6 citation statements)

References 47 publications

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“…[10] The risky behavior such as speeding, showing off stunt actions, illicit drug influence and driving without safety equipment commonly result in disastrous outcomes on the road. [11,12] A similar trend of young age and male preponderance was found in Singapore data on road fatalities from year 2000 to 2004. As in other middle and low-income countries, the most common type of vehicle involved was two wheelers (motorcycles) and cars (80% and 12% respectively).…”

Section: Discussionsupporting

confidence: 75%

The Buffering analysis to identify common geographical factors within the vicinity of severe injury related to motor vehicle crash in Malaysia

Rahman

Rainis

Noor

et al. 2016

World Journal of Emergency Medicine

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Section: Discussionsupporting

confidence: 75%

The Buffering analysis to identify common geographical factors within the vicinity of severe injury related to motor vehicle crash in Malaysia

Rahman

Rainis

Noor

et al. 2016

World Journal of Emergency Medicine

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“…In addition, statistical analysis of collected data showed that taxi drivers show more tendency towards speeding compared to overtaking [6]. Some other studies on driving behavior obtained similar results [7][8][9][10].…”

Section: Literature Reviewmentioning

confidence: 53%

Introducing a Model of Urban Taxi Driver’s Offenses

2018

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The aim of this study is to investigate the unsafe behavior of taxi drivers as a large group of professional drivers and the factors affecting driving violations occurring in Tehran. For this goal, the data regarding driving offenses of urban taxi drivers in 22 districts of Tehran from 2015 to 2016 has been collected from traffic police and used in statistical analysis and multiple regression modeling. According to the results, the probability of a red light violation during working days is more than nonworking days. In addition, taxi drivers older than 70 are more likely to commit red light violation compared to the drivers younger than 30. Moreover, prohibited entry is more probable to occur during working days being about 2.5 times more than that of non-working days. Besides, drivers with newer and more expensive cars commit less driving offenses compared to the drivers with older and cheaper cars. Finally, it was found that by increasing the engine power of the vehicles, the rate of driving offenses by taxi drivers is decreased, such that in cars with 1600 cc engine power or less, the probability of not paying attention to the police regulations is six times more than the cars with 1800 cc engine power and more.

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“…)’ injury awareness education program has a major component allowing the participants to experience how road trauma can result in critically injured patients in an ICU [ 3 , 12 ]. Nevertheless, our study also shows that not all road trauma patients became perfect drivers—a small proportion of them remained resistant to change resulting in subsequent hospital readmissions or even deaths from road trauma [ 13 ]. Young male drivers again appear to be those who are most difficult to change ( Table 3 ) [ 4 ].…”

Section: Discussionmentioning

confidence: 99%

The Journey from Traffic Offender to Severe Road Trauma Victim: Destiny or Preventive Opportunity?

Rao

Burrell

et al. 2015

PLoS ONE

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BackgroundRoad trauma is a leading cause of death and injury in young people. Traffic offences are common, but their importance as a risk indicator for subsequent road trauma is unknown. This cohort study assessed whether severe road trauma could be predicted by a history of prior traffic offences.Methodology and Principal FindingsClinical data of all adult road trauma patients admitted to the Western Australia (WA) State Trauma Centre between 1998 and 2013 were linked to traffic offences records at the WA Department of Transport. The primary outcomes were alcohol exposure prior to road trauma, severe trauma (defined by Injury Severity Score >15), and intensive care admission (ICU) or death, analyzed by logistic regression. Traffic offences directly leading to the road trauma admissions were excluded. Of the 10,330 patients included (median age 34 years-old, 78% male), 1955 (18.9%) had alcohol-exposure before road trauma, 2415 (23.4%) had severe trauma, 1360 (13.2%) required ICU admission, and 267 (2.6%) died. Prior traffic offences were recorded in 6269 (60.7%) patients. The number of prior traffic offences was significantly associated with alcohol-related road trauma (odds ratio [OR] per offence 1.03, 95% confidence interval [CI] 1.02–1.05), severe trauma (OR 1.13, 95%CI 1.14–1.15), and ICU admission or death (OR 1.10, 95%CI 1.08–1.11). Drink-drinking, seat-belt, and use of handheld electronic device offences were specific offences strongly associated with road trauma leading to ICU admission or death—all in a ‘dose-related’ fashion. For those who recovered from road trauma after an ICU admission, there was a significant reduction in subsequent traffic offences (mean difference 1.8, 95%CI 1.5 to 2.0) and demerit points (mean difference 7.0, 95%CI 6.5 to 7.6) compared to before the trauma event.SignificancePrevious traffic offences were a significant risk factor for alcohol-related road trauma and severe road trauma leading to ICU admission or death.

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Risky driving and recorded driving offences: A 24-year follow-up study

Cited by 24 publications

References 47 publications

The Buffering analysis to identify common geographical factors within the vicinity of severe injury related to motor vehicle crash in Malaysia

The Buffering analysis to identify common geographical factors within the vicinity of severe injury related to motor vehicle crash in Malaysia

Introducing a Model of Urban Taxi Driver’s Offenses

The Journey from Traffic Offender to Severe Road Trauma Victim: Destiny or Preventive Opportunity?

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