scholarly journals A Comparison of Ordered and Unordered Response Models for Analyzing Road Traffic Injury Severities in the North-Eastern Turkey

2017 ◽  
Vol 45 (3) ◽  
pp. 119
Author(s):  
Ali Kemal Çelik ◽  
Erkan Oktay
Keyword(s):  
Risk Factors ◽  
Road Safety ◽  
Injury Severity ◽  
Road Traffic ◽  
Road Traffic Injury ◽  
Response Models ◽  
Traffic Injury ◽  
Eastern Turkey ◽  
North Eastern ◽  
Injury Severities

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.

scholarly journals Road Traffic Injury During the COVID-19 Pandemic: Cured or a Continued Threat?

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Nahomi Amberber ◽  
Andrew Howard ◽  
Meghan Winters ◽  
M. Anne Harris ◽  
Ian Pike ◽  
...  
Keyword(s):  
Public Health ◽  
Road Safety ◽  
Injury Severity ◽  
Road Traffic ◽  
Road Traffic Injury ◽  
Public Health Approach ◽  
Road Transportation ◽  
Traffic Injury ◽  
Traffic Volumes ◽  
Simultaneous Decrease

Road traffic injury, one of the leading causes of preventable morbidity and mortality in Canada, declined substantially as an indirect outcome of the first wave of the COVID-19 pandemic. Public health policies encouraging people to ‘stay at home’ and ‘practice physical distancing’ precipitated shifts in vehicle volumes and speed, transportation mode, and collision rates. Toronto data from January to June 2020 showed a decrease in road transportation, and a simultaneous decrease in road traffic collisions. However, reduced traffic volumes also led to increased vehicle speeds which can result in an increase in injury severity involving pedestrians and cyclists. As the pandemic progresses, an emphasis on safe, active transportation and equitable distribution of street infrastructure throughout the city is essential. A public health approach to road safety includes implementation of evidence-based road safety infrastructure enabled by access to timely transportation data to evaluate changes made.

Risk factors predisposing to pedestrian road traffic injury in children living in Lima, Peru: a case–control study

2012 ◽  
Vol 97 (8) ◽  
pp. 709-713 ◽  
Author(s):  
Jeffrey M Pernica ◽  
John C LeBlanc ◽  
Giselle Soto-Castellares ◽  
Joseph Donroe ◽  
Bristan A Carhuancho-Meza ◽  
...  
Keyword(s):  
Risk Factors ◽  
Case Control Study ◽  
Road Traffic ◽  
Road Traffic Injury ◽  
Case Control ◽  
Traffic Injury ◽  
Control Study

scholarly journals Analysis of Risk Factors Associated with Outcomes in Road Traffic Injury Patients with Acute Lung Injury

2009 ◽  
Vol 37 (3) ◽  
pp. 835-840
Author(s):  
L Sheng ◽  
J-S Wu ◽  
M Zhang ◽  
S-W Xu ◽  
J-X Gan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Acute Lung Injury ◽  
Lung Injury ◽  
Road Traffic ◽  
Road Traffic Injury ◽  
Apache Ii Score ◽  
Factors Associated ◽  
Traffic Injury ◽  
Short And Long Term

Over 50% of road traffic injury (RTI) patients experience post-traumatic acute lung injury (ALI) and it is, therefore, extremely important to identify the risk factors related to the poor outcomes associated with ALI in RTI populations. This study evaluated 19 potential risk factors associated with the outcomes of ALI in 366 RTI patients. They were divided into two groups: a ‘favourable outcomes group’ and an ‘unfavourable outcomes group’. The results indicated that the Acute Physiology and Chronic Health Evaluation II (APACHE II) score and the presence of gastrointestinal haemorrhage may help predict the outcomes of ALI in the early post-trauma phase of treatment. The duration of trauma and sepsis were shown to impact strongly on both the short- and long-term outcomes of ALI. Age (≥ 65 years) and disseminated intravascular coagulation in the early RTI phase were also independent risk factors for a poorer short- and long-term outcome in ALI.

scholarly journals Road traffic injury in Lebanon: A prospective study to assess injury characteristics and risk factors

2021 ◽  
Vol 4 (4) ◽  
Author(s):  
Joseph Ghoubaira ◽  
Marwa Diab ◽  
Hasan Nassereldine ◽  
Hani Tamim ◽  
Samer Saadeh ◽  
...  
Keyword(s):  
Risk Factors ◽  
Prospective Study ◽  
Road Traffic ◽  
Road Traffic Injury ◽  
Injury Characteristics ◽  
Traffic Injury ◽  
A Prospective Study

scholarly journals Identifying Factors that Influence the Patterns of Road Crashes Using Association Rules: A case Study from Wisconsin, United States

2019 ◽  
Vol 11 (7) ◽  
pp. 1925 ◽  
Author(s):  
Shuai Yu ◽  
Yuanhua Jia ◽  
Dongye Sun
Keyword(s):  
Association Rules ◽  
Road Safety ◽  
Road Traffic ◽  
Road Traffic Injury ◽  
Safety Level ◽  
Road Crashes ◽  
Traffic Injury ◽  
Fatal Crashes ◽  
Safety Improvement ◽  
Children And Young Adults

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.

scholarly journals Analyzing Factors Associated with Fatal Road Crashes: A Machine Learning Approach

2020 ◽  
Vol 17 (11) ◽  
pp. 4111
Author(s):  
Ali J. Ghandour ◽  
Huda Hammoud ◽  
Samar Al-Hajj
Keyword(s):  
Machine Learning ◽  
Risk Factors ◽  
Injury Severity ◽  
Road Traffic ◽  
Road Traffic Injury ◽  
Outcome Variable ◽  
Contributing Factors ◽  
Road Crashes ◽  
Factors Associated ◽  
Ensemble Machine Learning

Road traffic injury accounts for a substantial human and economic burden globally. Understanding risk factors contributing to fatal injuries is of paramount importance. In this study, we proposed a model that adopts a hybrid ensemble machine learning classifier structured from sequential minimal optimization and decision trees to identify risk factors contributing to fatal road injuries. The model was constructed, trained, tested, and validated using the Lebanese Road Accidents Platform (LRAP) database of 8482 road crash incidents, with fatality occurrence as the outcome variable. A sensitivity analysis was conducted to examine the influence of multiple factors on fatality occurrence. Seven out of the nine selected independent variables were significantly associated with fatality occurrence, namely, crash type, injury severity, spatial cluster-ID, and crash time (hour). Evidence gained from the model data analysis will be adopted by policymakers and key stakeholders to gain insights into major contributing factors associated with fatal road crashes and to translate knowledge into safety programs and enhanced road policies.

Ethnicity, deprivation and road traffic injury risk: a survey of risk and road safety and implications for injury prevention

2008 ◽  
Vol 46 (4) ◽  
pp. 133-138 ◽  
Author(s):  
Nicola Christie ◽  
Richard H. Kimberlee ◽  
Ronan Lyons ◽  
Elizabeth Towner ◽  
Heather Ward
Keyword(s):  
Injury Prevention ◽  
Road Safety ◽  
Injury Risk ◽  
Road Traffic ◽  
Road Traffic Injury ◽  
Traffic Injury

scholarly journals Prevalence of road traffic injury and its associated factors at hospitals in Wolaita Zone

2019 ◽  
Author(s):  
Samuel Hailu Weldemariam ◽  
Tigabu Addisu Lendado
Keyword(s):  
Risk Factors ◽  
Emergency Department ◽  
Road Traffic ◽  
Multivariate Logistic Regression Analysis ◽  
Road Traffic Injury ◽  
Cross Sectional ◽  
Road Traffic Crashes ◽  
Traffic Injury ◽  
Trauma Victims ◽  
Associated Risk Factors

Abstract Background Road traffic injury is defined as fatal or non-fatal cases incurred as a result of road traffic crashes. It accounts for an estimated 1.2 million people death and as many as 50 million injury in each year worldwide. This study was aimed to determine prevalence and associated risk factors of road traffic injury.Objective To determine the prevalence and its associated risk factors of road traffic injury.Method Facility based cross-sectional study with sample size of 309 was used for conducting study in two selected hospitals in Wolaita Zone.Systematic sampling method was applied to select study subject based on inclusion criteria. Data was collected by questionnaires which was developed from reviewing different literatures and analysed by using SPSS version 20statistical software.Result Among the total of trauma victims who visited emergency department of hospitals, approximately half of victims (49.2%) were due to road traffic injury followed by falling injury 60 (19.4%) and burns 35 (11.3%). After adjusting for confounding in multivariate logistic regression analysis, sex and living places are independent factors of road traffic injury. Two of them are highly significantly associated with road traffic injury and being male and urban resident had thirteen times AOR 13.08 95% CI (6.15-27.85) and more than two times AOR 2.69 95%CI (1.55-4.64) increased odd of road traffic injury respectively.Conclusion Road traffic injury was leading injury types among trauma victims visiting emergency department of Hospitals. Therefore, strong road safety policy at local and country level is needed to reduce vulnerability of individuals and vehicle related injury.

scholarly journals A Study to Determine the Nature and Risk Factors for Road Traffic Injuries

2019 ◽  
Vol 34 (s1) ◽  
pp. s169-s169 ◽  
Author(s):  
Harvinder kaur Vaid
Keyword(s):  
Risk Factors ◽  
Health Care ◽  
Trauma Center ◽  
Road Traffic ◽  
National Level ◽  
Road Traffic Injury ◽  
Safety Education ◽  
Traffic Injury ◽  
Severity Of Injury ◽  
The Right

Introduction:In 2010, an estimated 1.3 million road traffic injury (RTI) deaths occurred worldwide, accounting for about 2.5% of all deaths. Mortality in serious injuries is 6 times worse in a developing country such as India compared to a developed country. Strengthening and undertaking research on the public health burden and impact and understanding the risk factors of trauma is the need of the hour.Aim:To identify the nature of injury in terms of causes and severity of injury.Methods:Using a quantitative approach, a retrospective cross-sectional survey was conducted at the emergency and trauma center in Ram Manohar Lohia (RML) Hospital, New Delhi. The information of all the injured patients seeking health care during the past one year from October 2015 - September 2016 at Emergency and trauma center was collected from the trauma registry forms filled at the time of registration.Results:A total of 1952 cases of road traffic injury sought health care during the study period. The average number of cases reported per day was five. Maximum of the cases (40%) were reported between 12-6PM. Among the injured, 82% were males and the majority of victims were between 20-30 years age group followed by 30-40 years.Discussion:Trauma services need to be coordinated in infrastructure and human resources so that the right patient is taken to the right hospital at the right time. This calls for a lead agency at the district, state, and finally national level. Safety education regarding road safety should be imparted, especially to all victims, relatives, and the general public to make the care comprehensive. Students in schools and colleges should also be the target for intense safety education.

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