Financial impact of road traffic accidents on the society

2016 ◽  
Vol 2 (1) ◽  
Author(s):  
Dr. R K Gorea
Keyword(s):  
Road Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
World Health ◽  
Road Traffic Accidents ◽  
The Road ◽  
Physical Injuries ◽  
Health Organization ◽  
Financial Losses

Road traffic accidents (RTA) are a global problem resulting in deaths, physical injuries, psychological problems and financial losses. These financial damages have immediate consequences and long term consequences on the victims and their families. Different countries have different impact of road traffic accidents and therefore spend dissimilar amounts in their budgets to prevent the road traffic accidents. If the financial losses due to road traffic accidents are calculated and highlighted by the researchers, the respective governments will be willing to spend higher amount in their budgets to prevent such accidents; as governments will be able to directly see the benefits to their countries, of spending higher budget amounts. Various countries are acting differently to reduce this menace of road traffic accidents and World Health Organization (WHO) is celebrating “Decade for road safety” to reduce the accidents and thus the financial loses to the society.

scholarly journals A study to assess the knowledge and practice of road safety measures among undergraduate medical students of M. R. Medical College, Kalaburagi

2018 ◽  
Vol 5 (4) ◽  
pp. 1596 ◽  
Author(s):  
Lakshmi R. Kalbandkeri ◽  
Boramma G. ◽  
Shreeshail Ghooli
Keyword(s):  
Road Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
World Health ◽  
Road Traffic Accidents ◽  
Undergraduate Medical Students ◽  
Safety Measures ◽  
The Road ◽  
Medical College ◽  
Knowledge And Practice

Background: Road traffic injuries claim more than 1.25 million lives each year and have a huge impact on health and development. They are the leading cause of death among young people aged between 15 and 29 years globally. In the South East Asian region of the World Health Organization, India alone accounted for 73 percent of these Road traffic accidents (RTA) burden. The importance of road safety measures needs to be emphasized in the prevention of the road traffic accidents. The objectives of the study were to assess the knowledge and practice of road safety measures among undergraduate medical students.Methods: A cross-sectional study was conducted among 310 medical undergraduates of M.R. Medical College from 1st September to 1st October 2016. Data was collected using pre-tested, semi-structured, self-administered questionnaire. The data collected was analyzed using SPSS version 16. Statistical analysis was done using relevant statistical tests.Results: Out of the 310 students 54.19% were males and 45.81% were females. 90.9% of the participants had driving licence, 32.1% of the students had taken training for driving the car and 66% of the students did not wear helmet. Female students had high knowledge of the road safety measures when compared to male students.Conclusions: The overall knowledge of road safety measures was high among the study participants. Regarding practice behaviours they were not desirable like practice of wearing helmet and exceeding speed limit. Undertaking proper road safety measures are the best available interventions to curb the epidemic of RTA.

scholarly journals ROAD TRAFFIC ACCIDENTS IN INDIA: AN OVERVIEW

2018 ◽  
Vol 4 (4) ◽  
pp. 36-38
Author(s):  
Thokchom Shantajit ◽  
Chirom Ranjeev Kumar ◽  
Quazi Syed Zahiruddin
Keyword(s):  
Road Safety ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Preventive Measures ◽  
Road Traffic ◽  
Morbidity And Mortality ◽  
World Health ◽  
Road Traffic Accidents ◽  
The World ◽  
Health Organization

Road traffic accidents claim over a million lives every year in the world. As per World Health Organization (WHO) it is one of the leading cause of death. India, being a rapidly developing country with expanding economy has its own issues as regarding road traffic accidents due to rapid proliferation of motorization. Road traffic accidents causes enormous morbidity and mortality and at the same time, the toll on the economy of the country as a result of it is quite heavy. Road traffic accident is a result of an interaction among different factors which include the environment, vehicle and the human being. Traditionally it is considered that road traffic accidents are accidents which are unpredictable, inevitable and not preventable. But road traffic accidents are indeed predictable and preventable in majority of the cases. This require the knowledge of factors contributing and leading to road traffic accidents. There are certain preventive measures which if adopted can lead to decrease in morbidity and mortality resulting from RTA. Hence, it is the responsibility of all to contribute in reducing road traffic accidents.Keywords: Road traffic accidents; Road traffic injuries; Roads in India, Road safety; Vehicular registration.

scholarly journals Forecasting road traffic accident deaths in India using seasonal autoregressive integrated moving average model

2018 ◽  
Vol 5 (9) ◽  
pp. 3962
Author(s):  
Manikandan M. ◽  
Vishnu Prasad R. ◽  
Amit Kumar Mishra ◽  
Rajesh Kumar Konduru ◽  
Newtonraj A.
Keyword(s):  
Traffic Accidents ◽  
Time Series Data ◽  
Road Traffic ◽  
Moving Average ◽  
Arima Model ◽  
World Health ◽  
Series Data ◽  
Road Traffic Accidents ◽  
Increasing Trend ◽  
Health Organization

Background: As per World Health Organization (WHO) report 1.24 million people die each year as a result of road traffic accidents (RTA) globally. A vast majority of 20-50 million people suffer from non-fatal injuries, many of them ultimately end in disability. Forecasting RTA deaths could help in planning the intervention at the right time in an effective way.Methods: An attempt was made to forecast the RTA deaths in India with seasonal auto regressive integrated moving average (SARIMA) model. ARIMA model is one of the common methods which are used for forecasting variables as the method is very easy and requires only long time series data. The method of selection of appropriate ARIMA model has been explained in detail. Month wise RTA deaths for previous years data was collected from Govt. of India website. Data for 12 years (2001 to 2012) was extracted and appropriate ARIMA model was selected. Using the validated ARIMA model the RTA deaths are forecasted for 8 years (2013-2020).Results: The appropriate SARIMA (1,0,0) (2,1,0) 12 model was selected based on minimal AIC and BIC values. The forecasted RTA deaths show increasing trend overtime.Conclusions: There is an increasing trend in the forecasted numbers of road traffic accidental deaths and it also shows seasonality of RTA deaths with more number of accidents during the month of April and May in every years. It is recommended that the policy makers and transport authority should pay more attention to road traffic accidents and plan some effective intervention to reduce the burden of RTA deaths.

scholarly journals Modelling Deaths Associated with Road Traffic Accidents and other Factors on Great North Road in Zambia between the Years 2010 and 2016 Using Poisson Models

2019 ◽  
Vol 12 (1) ◽  
pp. 68-77
Author(s):  
Ronald Fisa ◽  
Chola Nakazwe ◽  
Charles Michelo ◽  
Patrick Musonda
Keyword(s):  
Incidence Rate ◽  
Traffic Accidents ◽  
Negative Binomial ◽  
Road Traffic ◽  
World Health ◽  
P Value ◽  
Road Traffic Accidents ◽  
Poisson Models ◽  
Health Organization ◽  
Best Fit

Background: According to the World Health Organization (WHO), 1.24 million people die annually on the world’s roads, with 20-50 million sustaining non-fatal injuries. More than 85% (1.05 million) of the global deaths due to injuries occur in the developing world. Road traffic deaths and injuries are a major but neglected public health challenge that requires concerted efforts for effective and sustainable prevention. The objectives of the study were to estimate the incidence rate of death from RTAs, to determine factors associated with serious and fatal Road Traffic Accidents (RTAs) and to determine which of the poisson models fit the count data better. Methods: Data was collected from Zambia Police (ZP), Traffic Division on accidents that occurred on the Great North Road (GNR) highway between Lusaka and Kapiri-Mposhi in Zambia from January 1, 2010 to December 31, 2016. Results from standard Poisson regression were compared to those obtained using the Negative Binomial (NB), Zero-Truncated Negative Binomial (ZTNB) and the Zero-Truncated Poisson (ZTP) regression models. Diagnostic tests were used to determine the best fit model. The data was analysed using STATA software, version 14.0 SE (Stata Corporation, College Station, TX, USA). Results: A total of 1, 023 RTAs were analysed in which 1, 212 people died. Of these deaths, 82 (7%) were Juveniles and 1, 130 (93%) were adults. Cause of accident such as pedestrians crossing the road accounted for 30% (310/1,023) while 29% (295/1,023) were as a result of driver’s excessive speed. The study revealed that driving in the early hours of the day (1AM-6AM) as compared to driving in the night (7PM-12AM) had a significant increase in the incidence rate of death from RTAs, Incidence Rate Ratio (IRR) of 2.1, (95% CI={1.01-4.41}), p-value=0.048. Results further showed that public transport as compared to private transport had an increased incidence rate of death from RTAs (IRR=5.65, 95% CI={2.97-10.73}), p-value<0.0001. The two competing models were the ZTP and the ZTNB. The ZTP had AIC=1304.55, BIC= 1336.55, whereas the ZTNB had AIC=742.25 and BIC=819.69. This indicated that the ZTNB with smaller AIC and BIC was the best fit model for the data. Conclusion: There is a reduced incidence of dying if one is using a private vehicle as compared to a public vehicle. Driving in the early hours of the day (1AM and 6AM) had an increased incidence of death from RTAs. This study suggests that when dealing with counts in which there are a few zeros observed such as in serious and fatal RTAs, ZTNB fits the data well as compared to other models.

scholarly journals Pedestrians’ Injury Severity in Traffic Accidents in Spain: A Pedestrian Actions Approach

2021 ◽  
Vol 13 (11) ◽  
pp. 6439
Author(s):  
Juan Diego Febres ◽  
Miguel Ángel Mariscal ◽  
Sixto Herrera ◽  
Susana García-Herrero
Keyword(s):  
High Speed ◽  
Traffic Accidents ◽  
Injury Severity ◽  
Motor Vehicle ◽  
Road Traffic ◽  
World Health ◽  
The Road ◽  
The World ◽  
Unsafe Behavior ◽  
Health Organization

Road traffic accidents are currently between the seventh and tenth leading cause of death in the world, with approximately 1.35 million people killed per year. Despite extensive efforts by governments, according to the World Health Organization, road accidents still cause far too many deaths, especially among pedestrians, cyclists and two-wheel motor vehicle riders, who together account for almost 50% of road traffic fatalities. In particular, Spain had 410,974 traffic accidents between 2016 and 2019, involving 722,516 vehicles and 61,177 pedestrians with varying degrees of injury. This study uses the Bayesian network method to understand how the pedestrians’ responsibility and actions at the time of the traffic accident affect the injury suffered by said pedestrian, also considering the variables of the road infrastructure and vehicles at the accident site. The results confirm that the variables linked to the unsafe behavior of pedestrians, and their responsibility in traffic accidents, increase the risk of suffering serious or fatal injuries during an accident; for example, if a pedestrian is distracted this increases his/her probability of suffering a severe injury (27.86%) with respect to not being distracted (20.73%). Conditions related to traffic in high-speed areas, areas with no or poor lighting, and areas lacking sidewalks, also record increases in pedestrian injury, as is the case in the age group of pedestrians over 60 years of age.

scholarly journals Identification of Risk Factors Influencing Road Traffic Accidents

2018 ◽  
Vol 8 (1) ◽  
pp. 2417-2421 ◽  
Author(s):  
M. Touahmia
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Public Awareness ◽  
Seat Belt ◽  
World Health ◽  
Road Traffic Accidents ◽  
The World ◽  
Traffic Law Enforcement ◽  
Health Organization

Road traffic accidents (RTAs) are becoming a major problem around the world, incurring enormous losses of human and economic resources. Recent reports from the World Health Organization (WHO) reveal that each year more than 1.25 million people are killed and 50 million are injured in road traffic accidents worldwide. In Saudi Arabia, statistics show that at least one traffic accident occurs every minute, causing up to 7,000 deaths and over 39,000 injuries annually. In this study, the main causes of RATs in the province of Hail are examined. The data was collected through the use of a survey which was developed to evaluate the effect of influencing parameters on RTA rate. The results show that 67% of RTAs result from human factors, 29% from road conditions and 4% from vehicle defects. Excessive speed and violation of traffic rules and regulations were found to be the main causes of RATs. Low rates of compliance with speed limit signs and seat-belt regulations were also observed. These findings highlight the need of strengthening effective traffic law enforcement alongside with improving traffic safety and raising public awareness.

scholarly journals Characteristic of Car Crash in North of Iraq

2020 ◽  
Vol 9 (1) ◽  
pp. 15-21
Keyword(s):  
Road Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Minimum Degree ◽  
Road Traffic Accidents ◽  
The Road ◽  
Car Crash ◽  
North Iraq ◽  
Car Crashes

Road Traffic Accidents (RTAs) are a significant predicament in idiom of fatality and morbidness confronting the road clients just as the Vehicles transportation and road specialists. The Iraqi populace has expanded by 45% and numeral of vehicles by 3 times during last 18 years. Subsequently, these enhancements were sadly joined with ascending the car crashes numeral, death and grimness. Besides the compassionate catastrophes, consistently, there are significant financial mislaying in north Iraq because of the pandemic of RTAs. predetermined the essential of comprehension, the synergetic agents identified with RTAs for the usage by congestion vehicles and road specialists to ameliorate the road safety road auto collisions are incidents that abruptly, unintentionally and out of the blue happen under unanticipated conditions that include in any event one mobile car and consequence in at least one road clients being slaughtered or harmed. Road auto collisions are difficult to annihilate. In any case, their commonness can be decreased to the minimum degree by means of intermittent appraisals of auto collision attributes and the most significant viewpoints for road administration to think about when structuring, planning and assessing the implementation of a road to recuperate transportation and road clients' safety. Thus, the essential target of this study is to assess car crashes in north of Iraq utilizing a review investigation of mishaps that happened from 2016–2018 mulling over the accompanying parameters: the reason for the mishap, sort and the number of vehicles engaged with the mishap, the hour of the mishap, the seriousness of the mishap, the kind of mishap and the drivers age.

scholarly journals Identification of Road Accident by using Black Spot Method Between Panthaghati to Dhalli Road

2020 ◽  
Vol 9 (2) ◽  
pp. 723-728
Keyword(s):  
Road Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Black Spot ◽  
Research Paper ◽  
Road Accident ◽  
Road Traffic Accidents ◽  
Road Accidents ◽  
The Road ◽  
Black Spots

In India road accidents are very serious problem because of large population and high traffic density of vehicles. Most of the road accidents occur mainly due to the negligence of driver and poor infrastructure only a few accidents occur due to the technical error of vehicles. The main purpose of this research paper is prevention of road traffic accidents and improvement of road safety in Shimla. Road safety is very important aspect of today’s life, so it is important that everybody should aware about road safety. To do this study a section of 12km length is chosen between Panthaghati to Dhalli in district Shimla on NH 5 where accidents black spots are identified for the section by analyzing secondary data used to prevent road accidents. In this study primary data is used for observing the road conditions and secondary data is used to find accidents black spot. Black Spot is a point or a place on the road where road accident occurs repeatedly one after another which is known as accident black spot. To identify these black spots we use weighted severity index (WSI) method. It is one the most reliable and effective method for determining the most proven accidents black spots. Shimla is a hilly area and it has narrow roads, blind curve and black spots which increase the chances of road traffic accidents. In past recent years road traffic accidents are increasing in Shimla and this study deals with identification of major issues causing road traffic accidents. This research paper helps to improve the road safety in Shimla because in this study the analysis has been done to identify the major problems responsible for gradually increasing road accidents. This research paper is also used in future research paper as reference purpose and it will also provide an overview to other researchers who want do their research on similar kind of topics.

An Integrated Information System for Road Traffic Accidents

2019 ◽  
Vol 10 (3) ◽  
pp. 25-45
Author(s):  
Michail Vaitis ◽  
Dimitris Kavroudakis ◽  
Nikoletta Koukourouvli ◽  
Dimitrios Simos ◽  
Georgios Sarigiannis
Keyword(s):  
Information System ◽  
Road Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Temporal Analysis ◽  
High Price ◽  
Road Traffic Accidents ◽  
The Road ◽  
The North ◽  
Spatio Temporal

Road traffic accidents come at a high price: 1.25 million road traffic deaths occurred globally in 2013. As the road network and the environmental conditions contribute significantly in the cause of accidents, it is crucial to understand where and when they occur, in order to plan actions for road safety improvement. For this reason, the Region of the North Aegean, Greece, in collaboration with the University of the Aegean, has established a spatial database and a web-based geographic information system (webGIS) for the registration, storage, visualization and analysis of the traffic accidents occurred in its jurisdiction. In this article, besides the development and operation of the system, the authors present a spatio-temporal analysis of the data collected since 2004 for the island of Lesvos. Hot spots and risky periods were identified, leading to useful conclusions and directions for road safety improvements.

scholarly journals Use of geo-information systems in the registration of road-traffic accidents on the roads

2021 ◽  
Vol 264 ◽  
pp. 02021
Author(s):  
Sirojiddin Yadgarov ◽  
Qurbon Muminov ◽  
Qaxramon Ergashev ◽  
Ruzigul Sayfutdinova
Keyword(s):  
Road Safety ◽  
Road Network ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Level Density ◽  
National Policy ◽  
Road Transport ◽  
Similar Rate ◽  
Road Traffic Accidents ◽  
The Road

We come up with the use of traditional methods in recording road traffic accidents that occur on highways, which makes the YTH analysis several difficulties and shortcomings. The analysis of YTH s has been shown to be effective in the use of Geoinformation systems. In conclusion, it can be noted that international experience shows that in recent years in European countries with well-developed motorization with high GDP and the level density of the road network, a national policy, and programs in the field of road safety in the medium and long term, in addition to the General problems and methods of their solutions, identifies targets, characterizing the level of road safety. This must include experience in implementing similar programs in other countries with a similar rate of car ownership, income level of the population, the condition, and development of the road network. The level of development of the road network, which is characterized by compliance with the total length, density, distribution of roads by functional value and categories, socio-economic needs of society in road transport, plays a significant role in the formation of accidents.

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