scholarly journals Human Injury causing Road Traffic Accident at Debre Markos Town

2020 ◽  
Author(s):  
Wubetie Habtamu Tilaye
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Weather Condition ◽  
Vehicle Ownership ◽  
Contributing Factors ◽  
Chi Square ◽  
Education Status ◽  
Human Injury

Abstract Objective: A Road traffic accident (RTA) is when in a road Vehicle collides with another Vehicle, pedestrian, animal or geographical or architectural obstacle. The RTAs can result in human injury, property damage and death. RTA result in the deaths of 1.2 million people worldwide each year and injuries about 4 times this number. The objective of this study is to identify the main causing-factors that contribute to road traffic accidents involving human injuries. Literature suggested factors considered for analysis are: Driver's Age, Driver’s Education status, Driver's experience, Vehicle type, Driver Vehicle Ownership, Vehicle year of service, Road type, Road division, Road condition, Problem with car, Weather condition, and accident time (day or night). Results: Among the candidate variables, Pearson Chi-Square method identified weather condition, driver’s experience, Vehicle year of service; Road division, Driver Vehicle Ownership, and accident time (day or night ) as significantly associated variables. Furthermore, percentage is used to describe the magnitude of associated variable. The result from Poisson regression analyses revealed that low driver experience, high Vehicle year of service (old cars), and Road division (one way road) are the significant contributing factors for increment of human injuries accidents.

scholarly journals Road Traffic Accident Analysis and Identification of Black Spot Locations on Highway

2020 ◽  
Vol 6 (12) ◽  
pp. 2448-2456
Author(s):  
Asad Iqbal ◽  
Zia Ur Rehman ◽  
Shahid Ali ◽  
Kaleem Ullah ◽  
Usman Ghani
Keyword(s):  
Road Safety ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Black Spot ◽  
Accident Analysis ◽  
Road Traffic Accidents ◽  
Contributing Factors ◽  
Black Spots

Road safety is the main problem in developing countries. Every year, millions of people die in road traffic accidents, resulting in huge losses of humankind and the economy. This study focuses on the road traffic accident analysis and identification of black spots on the Lahore-Islamabad Highway M-2. Official data of road traffic accidents were collected from National Highway and Highway Police (NH & MP) Pakistan. The data was digitized on MS Excel and Origin Pro. The accident Point weightage (APW) method was employed to identify the black spots and rank of the top ten black spots. The analysis shows that the trend of road traffic accidents on M-2 was characterized by a high rate of fatal accidents of 35.3%. Human errors account for 66.8% as the major contributing factors in road traffic accidents, while vehicle errors (25.6%) and environmental factors (7.6%) were secondary and tertiary contributing factors. The main causes of road traffic accidents were the dozing on the wheel (27.9%), the careless driving (24.6%), tyre burst (11.7%), and the brakes failure (7.4%). Kallar Kahar (Salt Range) was identified as a black spot (223 km, 224 km, 225 km, 229 km, and 234 km) due to vehicle brake failure. The human error was a major contributory factor in road traffic accidents, therefore public awareness campaign on road safety is inevitable and use of the dozen alarm to overcome dozing on the wheel. Doi: 10.28991/cej-2020-03091629 Full Text: PDF

scholarly journals The Effects of Macroeconomic Factors on Road Traffic Safety: A Study Based on the ARDL-ECM Model

2020 ◽  
Vol 12 (24) ◽  
pp. 10262
Author(s):  
Xibing Li ◽  
Jiao Liu ◽  
Jian Zhou ◽  
Xiling Liu ◽  
Lei Zhou ◽  
...  
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Economic Indicators ◽  
Road Traffic Accidents ◽  
Vehicle Ownership ◽  
Short Term ◽  
Private Vehicle

This paper attempts to examine whether socioeconomic volatility produces differentiated effects on road traffic accident indicators. Adopting the Autoregressive distributed lag error-correction model (ARDL-ECM), this paper explores the long-term equilibrium and short-term interactions between five common economic indicators, namely, average salaries (AS), employment (EM), unemployment (UE), total mileage of highway (TMH), and private vehicle ownership (PVO), as well as road traffic-related indicators including the number of road traffic accidents (RTA), injuries (IN), fatalities (FA), and direct economic losses (DEL), using data of road traffic accidents spanning from 1999 to 2018 in China. The study found that all economic indicators except average salaries showed a long-term equilibrium with road traffic accident indicators. The Granger causality test showed that, over the short term, an increase in employment could lead to an increase in injuries, and an increase in private vehicle ownership could cause a rise in fatalities. This study demonstrates that the volatility in economic indicators indeed produces differentiated effects on road traffic accident indicators, providing a theoretical basis for improving road safety performance and formulating relevant policies.

ADHD is a Risk Factor of Road Crashes: A Purposive Study of Finding Relation between ADHD and Road Traffic Accident in Bangladesh

2018 ◽  
Vol 9 (08) ◽  
pp. 20531-20536
Author(s):  
Nusrat Shamima Nur ◽  
M. S. l. Mullick ◽  
Ahmed Hossain
Keyword(s):  
Risk Factor ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Fatality Rate ◽  
Road Traffic Accidents ◽  
Road Crashes ◽  
Road Crash ◽  
Day By Day

Background: In Bangladesh fatality rate due to road traffic accidents is rising sharply day by day. At least 2297 people were killed and 5480 were injured in road traffic accidents within 1st six months of 2017.Whereas in the previous year at 2016 at least 1941 people were killed and 4794 were injured within the 1st six months. No survey has been reported in Bangladesh yet correlating ADHD as a reason of impulsive driving which ends up in a road crash.

Alcohol and Fatal Road Traffic Accidents

1982 ◽  
Vol 22 (3) ◽  
pp. 189-194 ◽  
Author(s):  
M. Rufus Crompton
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Blood Alcohol ◽  
Road Traffic Accidents ◽  
Characteristic Distribution ◽  
Road Users ◽  
Blood Alcohol Levels ◽  
Age And Sex

An analysis of 208 cases of immediate death in a road traffic accident in which the blood alcohol was estimated, showed a definite characteristic distribution of varying blood alcohol levels in the various types of road users of differing age and sex.

Regression Analysis of Rural Road Traffic Accidents Causes

2011 ◽  
Vol 97-98 ◽  
pp. 1042-1045 ◽  
Author(s):  
Chuan Jiao Sun ◽  
Ru Yue Bai ◽  
Yuan Yuan Yu
Keyword(s):  
Regression Analysis ◽  
Traffic Safety ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Lower Grade ◽  
The Road ◽  
Rural Road ◽  
Safety Awareness

9238 traffic accidents data are collected in rural road of China. Through the data analysis, the main causes of rural road traffic accident are presented. The external environment, the participant features, road features and accident characteristics are involved. The regression analysis in SPSS is applied to find the relationship between the accident features. Overall, the rural road traffic accident was mainly due to in the rural area there are mass travel mode, lower grade roads, poorer safety awareness of traveler and the road is lack of traffic safety facilities and so on.

scholarly journals Expressway Traffic Accidents Involving Human Injuries and Fatalities in Ethiopia: Negative Binomial Regression Model

2021 ◽  
Author(s):  
Yesuf Abdela Mustefa ◽  
Addis Belayhun
Keyword(s):  
Regression Model ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Negative Binomial ◽  
Road Traffic ◽  
Weather Condition ◽  
Negative Binomial Regression ◽  
Negative Binomial Regression Model ◽  
Level Of Education ◽  
Binomial Regression

Abstract Background: Road traffic accident is a major public health as well as economic challenge that rated the eighth leading cause of death. The severity became higher in developing countries. Ethiopian is among the most confronted countries in the world. We utilized the Ethiopian Toll Roads Enterprise data to provide insights and model significant determinants of accidents involving injuries and fatalities. Besides utilizing recent dataset, we applied the most appropriate but forwent statistical model. Moreover, we examined the significance of the effects of drivers’ age and gender that have not been the cases in the literatures.Methods: We made descriptive insights available on the basis of graphs from integrated traffic accident and flow datasets. We tested for the presence of over-dispersion in a total of 1824 observations of accident data recorded from September, 2014 to December, 2019 for inferential analysis. Finally, we modeled the effects of significant variables on the number of injuries using the negative binomial regression model. Results: we found that the number of injuries in accidents were significantly determined by type of vehicles, ownership status of vehicles, accident time weather condition, driver-vehicle relationship, drivers’ level of education, and drivers’ age.Conclusions: Heavy trucks were more likely to cause more number of injuries than medium or small vehicles. Hot and windy weather conditions were associated with higher probability of the number of injuries. The likelihood of the number of injuries were lower when drivers are owner of the vehicle; drivers level of education is above secondary school; and the age of the driver is between 18 and 23 years old. Moreover, due concern needs to be given for traffic road rules.

scholarly journals Characteristics of Road Traffic Accident Cases Reported in a Tertiary Military Hospital

2020 ◽  
Vol 15 (2) ◽  
pp. 213-217
Author(s):  
Md Moshiur Rahman ◽  
Farzana Zafreen ◽  
Abu Noman Mohammed Mosleh Uddin
Keyword(s):  
Cause Of Death ◽  
Road Safety ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Military Hospital ◽  
Road Traffic Accidents ◽  
Traffic Crashes ◽  
Road Traffic Crashes

Introduction: Road traffic accidents (RTA) are the eighth leading cause of death globally, and the leading cause of death in Bangladesh. The road safety situation in Bangladesh has been deteriorating with increasing number of road accident deaths, largely as direct consequences of rapid growth in population, motorization, urbanization and lack of investment in road safety. Objectives: To describe the injury characteristics of road traffic accidents cases that reported at Combined Military Hospital (CMH), Dhaka. Materials and Methods: This descriptive cross-sectional hospital based study was conducted on all the RTA cases reported to medical inspection room CMH, Dhaka from 01 March to 30 June 2010. A total of 126 RTA victims irrespective of age and sex were included, data were collected by face to face interview using a pre-tested questionnaire. Results: A total of 126 road traffic accident victims both sexes were studied. The majority of the study subjects were men 103 (81.7%) and most of them were in 31-40 years group (27%), Muslims (98.41%) were the majority. In our study regarding educational qualification of RTA victims most of them were SSC qualified (44’4%) and primary level (15.1%). Military services holder (45.2%) was the majority of road traffic crash victims. Bus/Minibus (32.5%) was responsible for the majority of road traffic crashes and motor vehicle passengers (42.9%) were main victims. Laceration & cut injury were (38.1%) and multiple injury (18.3%) were the most common injury. Main roads (49.2%) were the commonest site of the accidents.  Regarding place of occurrence main roads 62 (49.2%) was the most common site and noon 41 (32.5%) was the most common time of occurrence of accidents. Conclusion: Road traffic crashes constitute a major public health problem in our setting and contribute significantly to unacceptably high morbidity and mortality. Urgent preventive measures targeting at reducing the occurrence of road traffic crashes is necessary to reduce the morbidity and mortality resulting from these injuries. Early recognition and prompt treatment of road traffic injuries is essential for optimal patient outcome. JAFMC Bangladesh. Vol 15, No 2 (December) 2019: 213-217

An Empirical Inquiry into Maintenance Work of Auto-Mechanics and its Relative Bearing on Road Traffic Accidents - A Developing Country Case, Ghana

2018 ◽  
Vol 34 ◽  
pp. 139-160
Author(s):  
Aaron Agbenyegah Agbo ◽  
Wen Feng Li ◽  
Lan Bo Zheng ◽  
Charles Atombo
Keyword(s):  
Developing Countries ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Quality Standard ◽  
Mechanical Failure ◽  
Survey Method ◽  
Road Traffic Accidents ◽  
Work Quality

Road traffic accidents are challenges the world is battling in recent times. Majority of increasing road fatalities occurs in developing countries. This study seeks to address part of the issues leading to mechanical failures and road traffic accidents in the developing countries with Ghana as a case study. The study model was validated with the use of a sample collected from 880 mechanics from six regions. The mechanics completed questionnaire measures of perception on used parts, brand new parts, mechanical failure, road accidents and demographic variables. In addition, observation and survey method were also used to collect the data on work quality. The result shows that mechanical failure and road traffic accident correlated positively with used parts and negatively correlated with brand new parts. The study model explained R2 = 0.46 and 0.65 of the variance in mechanical failure and road traffic accident respectively. The independent predictors of mechanical failure were age, gender, experience, perception about used parts and work quality. The predictors of road traffic accident were experience, mechanical failure, perception about brand new parts and work quality. We conclude that the mechanical failure and road traffic accidents could be attributed to non-use of genuine parts, poor work quality standard and poor supervision during and after repairs. Remedial measures addressing these issues could reduce road traffic accident in Ghana.

A study on Private Car Accidents

2021 ◽  
Vol 11 (1) ◽  
pp. 10-24
Author(s):  
Abdulmajeed Alamri ◽  
Tarek M. Esmael ◽  
Sami Fawzy ◽  
Hany Hosny ◽  
Saleh Attawi ◽  
...  
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Road Traffic Injury ◽  
Economic Losses ◽  
Moving Vehicle ◽  
The Road ◽  
Lost Productivity ◽  
On The Road

In this study, road traffic injury (RTI) was defined as any injury resulting from a road traffic accident irrespective of severity and outcome. Road traffic accident (RTA) was defined as any crash on the road involving at least one moving vehicle, irrespective of it resulting in an injury. This could include collision with a vehicle or any non`moving object while driving/riding a vehicle, collision with a moving vehicle while walking/running/standing/ sitting on the road, or fall from a moving vehicle. The burden of road traffic accidents (RTA) is a leading cause of all trauma admissions in hospitals worldwide. Road traffic injuries cause considerable economic losses to victims, their families, and to nations as a whole. These losses arise from the cost of treatment (including rehabilitation and incident investigation) as well as reduced/lost productivity (e.g. in wages) for those killed or disabled by their injuries and for family members who need to take time off work (or school) to care for the injured. Road traffic fatality in the Kingdom of Saudi Arabia (KSA) is the highest, accounts for 4.7% of all mortalities. Road injuries also are reported to be the most serious in this country, with an accident to injury ratio of 8:6. In this study, we try to focus on some causes of the accidents in KSA, so we can implement the prevention plan.

Remarks on patients with traumatic brain injury due to traffic accident related to alcohol comsumption treated in Vietduc hospital after implementing the decree 100

2021 ◽  
Vol 2 (5) ◽  
Author(s):  
Nguyen Duc Chinh ◽  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Blood Alcohol Concentration ◽  
Alcohol Concentration ◽  
Hospital Death ◽  
Risk Of Death

Purpose: Traumatic Brain Injury (TBI) is still considered as a leading cause of morbidity and mortality of victims by traffic accident. Despite a fact that many measurements and preventions have been applied, the rate of TBI is remained high. Aim of this study was to investigate treatment process of TBI caused by road traffic accident at Viet Duc Hospital after the Decree 100 which has been issued in Vietnam in early 2020. Materials and method: A retrospective and prospective study has been conducted in Viet Duc Hospital from Dec, 2020 to March, 2021. All the patients with TBI by road traffic accident were enrolled. Severity of TBI was identified by Glasgow Scale (GCS) and BAC (Blood Alcohol Concentration) test taken on arrival. The data was collected from medical record as well as autopsy report and analysed by SPSS.20.0 Results: A total of 150 patients with TBI by road traffic accidents were enrolled, age group from 21 to 60 years old accounted for 64%, male accounted for 86.7%. Associated injuries were maxillofacial lesions 48%, extremities 24.7%, chest accounted for 20%. Severity of TBI with GCS 6 - 8 was the highest rate 52%, from 3 - 5 GCS accounted for 30%. 40% were operated on emergency; BAC was positive 46.7%, of which over from 50 mg/L accounted for 32.6%. The patients with GCS from 6 to 8 were BAC positive accounted for a higher rate than groups with GCS above 9 or below 5. The most common TBI lesions were subarachnoid hemorrhage, subdural hematoma and cerebral edema accounted for 67.3%, 60% and 58% respectively. Overall mortality was 26% including in-hospital death and discharged to die. Conclusions and recommendations: Data from the study has shown that many young men with severe TBI by road traffic accident were BAC positive which can results in the high risk of death and disability. Thus, we highly recommend counterparts should constantly strengthen the propaganda and enforcement measures in order to reduce traffic accidents and TBI patients. Keywords: traffic accidents; injury; brain trauma severity.

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