scholarly journals The association of road safety knowledge and risk behaviour with paediatric road traffic injury in Guangzhou, China

2010 ◽  
Vol 17 (1) ◽  
pp. 15-20 ◽  
Author(s):  
X. Dong ◽  
C. Peek-Asa ◽  
J. Yang ◽  
S. Wang ◽  
X. Chen ◽  
...  
2010 ◽  
Vol 16 (Supplement 1) ◽  
pp. A34-A35
Author(s):  
X. Dong ◽  
C. Peek-Asa ◽  
J. Yang ◽  
S. Wang ◽  
X. Chen ◽  
...  

2019 ◽  
Vol 11 (7) ◽  
pp. 1925 ◽  
Author(s):  
Shuai Yu ◽  
Yuanhua Jia ◽  
Dongye Sun

Road traffic injury is currently the leading cause of death among children and young adults aged 5–29 years all over the world. Measures must be taken to avoid accidents and promote the sustainability of road safety. The current study aimed to identify risk factors that are significantly associated with the severity in crash accidents; therefore, traffic crashes could be reduced, and the sustainable safety level of roadways could be improved. The Apriori algorithm is carried out to mine the significant association rules between the severity of the crash accidents and the factors influencing the occurrence of crash accidents. Compared to previous studies, the current study included the variables more comprehensively, including environment, management, and the state of drivers and vehicles. The data for the current study comes from the Wisconsin Transportation crash database that contains information on all reported crashes in Wisconsin in the year 2016. The results indicate that male drivers aged 16–29 are more inclined to be involved in crashes on roadways with no physical separation. Additionally, fatal crashes are more likely to occur in towns while property damage crashes are more likely to occur in the city. The findings can help government to make efficient policies on road safety improvement.


2008 ◽  
Vol 46 (4) ◽  
pp. 133-138 ◽  
Author(s):  
Nicola Christie ◽  
Richard H. Kimberlee ◽  
Ronan Lyons ◽  
Elizabeth Towner ◽  
Heather Ward

2015 ◽  
Vol 16 (5) ◽  
pp. 456-460 ◽  
Author(s):  
Karen Zimmerman ◽  
Deepani Jinadasa ◽  
Bertha Maegga ◽  
Alejandro Guerrero

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0245636
Author(s):  
Melita J. Giummarra ◽  
Ben Beck ◽  
Belinda J. Gabbe

Road traffic injuries are a leading cause of morbidity and mortality globally. Understanding circumstances leading to road traffic injury is crucial to improve road safety, and implement countermeasures to reduce the incidence and severity of road trauma. We aimed to characterise crash characteristics of road traffic collisions in Victoria, Australia, and to examine the relationship between crash characteristics and fault attribution. Data were extracted from the Victorian State Trauma Registry for motor vehicle drivers, motorcyclists, pedal cyclists and pedestrians with a no-fault compensation claim, aged > = 16 years and injured 2010–2016. People with intentional injury, serious head injury, no compensation claim/missing injury event description or who died < = 12-months post-injury were excluded, resulting in a sample of 2,486. Text mining of the injury event using QDA Miner and Wordstat was used to classify crash circumstances for each road user group. Crashes in which no other was at fault included circumstances involving lost control or avoiding a hazard, mechanical failure or medical conditions. Collisions in which another was predominantly at fault occurred at intersections with another vehicle entering from an adjacent direction, and head-on collisions. Crashes with higher prevalence of unknown fault included multi-vehicle collisions, pedal cyclists injured in rear-end collisions, and pedestrians hit while crossing the road or navigating slow traffic areas. We discuss several methods to promote road safety and to reduce the incidence and severity of road traffic injuries. Our recommendations take into consideration the incidence and impact of road trauma for different types of road users, and include engineering and infrastructure controls through to interventions targeting or accommodating human behaviour.


2017 ◽  
Vol 45 (3) ◽  
pp. 119
Author(s):  
Ali Kemal Çelik ◽  
Erkan Oktay

Road traffic injuries are estimated to be one of the major causes of death worldwide and a majority of them occur in low- and middle income countries. In that respect, further studies that address to determine risk factors that may influence road traffic injury severities in the corresponding countries may contribute the existing road safety literature. This paper determines possible risk factors influencing road traffic injury severity in north-eastern Turkey. For this purpose, a retrospective cross-sectional study is conducted analysing 11,771 traffic accidents reported by the police during the sample period of 2008-2013. As the accident severity is inherently ordered, the data are analysed using both ordered and unordered response models. The estimation results reveal that several driver (age and education level), accident (speeding violation, avoiding manoeuvre and right-of-way rule), vehicle (bus/minivan, single-unit truck/heavy truck, private and single vehicles), temporal (time of day, morning peak, evening peak), environmental (summer and cloudy or rainy weather), geometry (asphalt road and road class type), and control characteristics (presence of crosswalk and traffic lights) were found to have an impact on injury severity. This paper is most probably the first attempt to analyse possible risk factors of road traffic injury severities in Turkey using both ordered and unordered response models. The evidence of this study may be valuable for future road safety policies in emerging countries.


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