Unlicensed Driving Among Urban and Rural Māori Drivers: New Zealand Drivers Study

McDowell, Anna K.; Begg, Dorothy Jean; Connor, Jennie; Broughton, J. Richard

doi:10.1080/15389580903321727

Cited by 13 publications

(13 citation statements)

References 17 publications

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“…The high probability of licensed drivers engaging in right-of-way violations could be explained by the fact that unlicensed drivers become “prudent drivers” in the streets because, in many countries, if the driver is cited for driving without a valid driving license, they may be fined, barred from obtaining a valid driving license for a period of time or incarcerated. Indeed, as reported by [ 56 , 57 ], drivers on roads or highways are more likely to be unlicensed than drivers on streets because on rural roads and highways, less public transport and taxi services are available and, considering the long distances, the likelihood of the unlicensed driver encountering the police is slim.…”

Section: Discussionmentioning

confidence: 99%

An Investigation into Unsafe Behaviors and Traffic Accidents Involving Unlicensed Drivers: A Perspective for Alignment Measurement

Boulagouas

Herrero

Chaib

et al. 2020

IJERPH

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Road traffic plays a vital role in countries’ economic growth and future development. However, traffic accidents are considered a major public health issue affecting humankind. Despite efforts by governments to improve traffic safety, the misalignment between the policy efforts and on-ground infringements, distractions and breaches reflect the regulatory failure. This paper uses the Bayesian network method to investigate unsafe behaviors and traffic accidents involving unlicensed drivers as a perspective for the regulatory alignment assessment. The findings suggest that: (1) unlicensed drivers are more likely to have unsafe driving behaviors; (2) the probability of being involved in a severe traffic accident increases when the drivers are unlicensed and decreases in the case of licensed drivers; (3) young drivers are noticeably more likely to engage in unsafe behaviors, usually leading to serious injuries and deaths, when their driving licenses are invalid; (4) women are more likely to engage in right-of-way violations and to have collisions with no serious injuries, contrary to unlicensed men drivers, who are involved in other types of traffic accidents resulting in serious injuries.

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Section: Discussionmentioning

confidence: 99%

An Investigation into Unsafe Behaviors and Traffic Accidents Involving Unlicensed Drivers: A Perspective for Alignment Measurement

Boulagouas

Herrero

Chaib

et al. 2020

IJERPH

View full text Add to dashboard Cite

show abstract

“…Pre-Licence driving has also been examined in surveys of novices who subsequently obtained a licence. Half of New Zealand's indigenous Maori population (McDowell et al 2009) and 12% of Los Angeles high school students were found to engage in pre-Licence driving (Carlos et al 2009). In addition, pre-Licence drivers have been found to have greater sensation seeking propensity (Begg et al 2010;Senserrick et al 2010).…”

Section: Introductionmentioning

confidence: 99%

Young and Unlicensed: Risky Driving Before Entering the Licensing System

Scott‐Parker

Watson

King

et al. 2012

Traffic Injury Prevention

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“…e driver's individual characteristics can be analyzed from physiological and psychological factors, for example, the driver's age, gender and driving age, fatigue and emotions while driving, the driver's own driving style and safety attitude, traffic regulations awareness level, and so on. ese research studies show that [29][30][31] (1) the reaction speed to the emergency situation will be significantly reduced with age;…”

Section: Driving Characteristics Analysismentioning

confidence: 99%

Study and Simulation Analysis of Vehicle Rear-End Collision Model considering Driver Types

Luo

Chen

Yuan

et al. 2020

Journal of Advanced Transportation

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The reasonable distance between adjacent cars is very crucial for roadway traffic safety. For different types of drivers or different driving environments, the required safety distance is different. However, most of the existing rear-end collision models do not fully consider the subjective factor such as the driver. Firstly, the factors affecting driving drivers’ characteristics, such as driver age, gender, and driving experience are analyzed. Then, on the basis of this, drivers are classified according to reaction time. Secondly, three main factors affecting driving safety are analyzed by using fuzzy theory, and the new calculation method of the reaction time is obtained. Finally, the improved car-following safety model is established based on different reaction time. The experimental results have shown that our proposed model obtained more accurate vehicle safety distance with varied traffic kinematic conditions (i.e., different traffic states, varied driver types, etc.). The findings can help traffic regulation departments issue early warnings to avoid potential traffic accidents on roads.

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Unlicensed Driving Among Urban and Rural Māori Drivers: New Zealand Drivers Study

Cited by 13 publications

References 17 publications

An Investigation into Unsafe Behaviors and Traffic Accidents Involving Unlicensed Drivers: A Perspective for Alignment Measurement

An Investigation into Unsafe Behaviors and Traffic Accidents Involving Unlicensed Drivers: A Perspective for Alignment Measurement

Young and Unlicensed: Risky Driving Before Entering the Licensing System

Study and Simulation Analysis of Vehicle Rear-End Collision Model considering Driver Types

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