accident statistics
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2021 ◽  
pp. 15-30
Author(s):  
Jeremy Broughton

2021 ◽  
Vol 2021 (24) ◽  
pp. 169-176
Author(s):  
Evgen Minenko ◽  
◽  
Olexiy Petrashenko ◽  
Roman Efymenko ◽  
◽  
...  

In the modern world, where more and more vehicles appear every day, the issue of traffic safety is becoming more acute. The most prospective method of traffic safety management, on our opinion, is the analysis of statistical data on road accidents (hereinafter accidents), which allows to determine the accident levele, causes of accidents, evaluate the effectiveness of implemented measures to improve traffic safety and more. As the main task of traffic safety ensuring is to reduce accident level and severity of the accidents consequences, and especially to reduce accidents with fatalities to a minimum, the analysis of accident statistics data plays a key role and is an integral part of a comprehensive approach to solve the issue of the traffic safety management. Qualitative analysis of accidents by various indicators allows determining the main causes that impact on the occurrence of accidents and the severity of their consequences. This article considers the formation of characteristics of seasonal changes in accident level on the network of state roads of Ukraine. The study allows identifying the features and patterns of annual dynamics of road accidents with the definition of monthly maximum and determining the features of seasonal stability of accident level indexes. Taking into account the seasonal variability of the accident level allows rationally planning the activities of transport organizations directed on preventing road accidents and reducing the severity of their consequences. Keywords: accident level, analysis of seasonal changes of accident level, traffic safety, statistics of road accidents.


Author(s):  
Sergey A. Zakharov ◽  
Gennady M. Lebedev ◽  
Raisa V. Zakharova
Keyword(s):  

2021 ◽  
Vol 69 (5) ◽  
pp. 143
Author(s):  
Jiang Wei ◽  
Xiang Yuan-chi

Accident statistics is an important basis in designing coal mine safety signs. In this paper, we study the process and feasibility for accident statistics as the design basis of the coal mine enterprise safety signs. This paper comes into a conclusion of unsafe actions which cause the accident can be divided into two categories: illegal action and error action. Illegal action could be subdivided into habitual illegal action and accident illegal action, while error action could be subdivided action into skills, decisionmaking and physiological perceptual action. In this paper, we specifically analyze five coal mine accident cases as examples, in order to conclude unsafe actions and unsafe states in every case. Specifically, unsafe acts are: bolt pretightening does not reach the designated position, sitting on the belt, no remote operating point column, maintenance without power cuts and operating under pressure. In addition, these unsafe acts lead to relative unsafe states, which are insufficient bolt pressure, point column instability, machine charging electricity and hydraulic pipe under pressure? Finally, these unsafe states become causations of accidents. Based on statistical analysis, we found out illegal actions of coal mine accident cases and specifically designed five safety signs, which are ‘bolt must be preloaded in place’, ‘be careful of the column’, ‘ban to sit on belts’, ‘forbidden pressing operation’ and ‘maintenance must be power outages’.


2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Johannes Mesimäki ◽  
Juha Luoma

AbstractCities throughout the world have increasingly promoted walking and cycling as healthy and sustainable modes of travel. However, collisions between pedestrians and cyclists have remained largely unstudied, and existing accident statistics suffer from underreporting. This study aimed to explore near accidents and collisions between pedestrians and cyclists, assess the frequency of near accidents, and evaluate pedestrians’ and cyclists’ sense of safety in traffic. An online survey was directed to inhabitants of Finnish cities with populations greater than 100,000, and the resulting data included 1046 respondents who walk and/or cycle regularly.The main results show that near accidents between pedestrians and cyclists are around 50 times more frequent than collisions. Only 16 survey respondents had been involved in a collision during the 3-year period, whereas roughly a third had experienced at least one near accident. For both near accidents and collisions, the involved parties were usually travelling in the same direction. Most incidents occurred on pedestrian paths and shared pedestrian and bicycle paths. On shared pedestrian and bicycle paths separated by mode of transport, incidents were much rarer. Furthermore, sense of safety and willingness to walk and cycle were lower in environments where near accidents were more frequent.These findings tentatively suggest that spatially separating modes of transport could improve people’s sense of safety and prevent near accidents and collisions. Prevention of near accidents could increase the willingness to walk and cycle.


2021 ◽  
Vol 16 (2) ◽  
pp. 16-29
Author(s):  
Julius Uhlmann

For this study, accident statistics of 14 European countries were analysed for the number of fatalities and injuries occurring at pedestrian crossings from 2015 to 2017. The road traffic death rate (killed per 1 million inhabitants) and the road traffic injury rate (injured per 1 million inhabitants) at pedestrian crossings were calculated and compared. It was found that there are large differences between the European countries: The road traffic death rate at pedestrian crossings is the lowest in Great Britain and Germany and the highest in Poland and Lithuania. Statistical analysis showed a significant correlation between road traffic death and injury rates at pedestrian crossings.


Author(s):  
M. Lysenko

An analysis of accident statistics for recent years, both in Ukraine and around the world. A number of measures to improve road safety are proposed. The advantages of using video recorders on which the mechanism of the accident during the pre-trial investigation and establishing the objective causes of the accident are considered.


Author(s):  
Siti Hawa HARITH ◽  
Norashikin MAHMUD

Background: Road accident statistics has been seen increasing over the years despite numerous efforts made by the authorities. Human factors have contributed 90% of accident occurrence with risky driving behavior being one of the significant human factors that can be further explained through norms. This review paper aimed to investigate the relationship between norms and drivers’ risky driving behavior. Methods: A systematic review process was conducted through four academic databases namely Scopus, Wiley Online Library, Emerald and Web of Science of no limitation for date. Overall, 3443 titles were identified and after several screening and reviewing processes, only 27 studies were included. Results: The results of the review demonstrated mixed findings between subjective norm and risky driving behavior, whereas the relationship between group norm, moral norm, injunctive norm, descriptive norm and risky driving behavior were observed significant. Conclusion: Appropriate educational awareness is required to educate the society in practicing good norms for mutual benefit of the society. Parents also need to set a good example for their children by abiding the traffic rules and regulation.


2020 ◽  
Vol 136 ◽  
pp. 78-91 ◽  
Author(s):  
Jiangshi Zhang ◽  
Jing Fu ◽  
Hongyu Hao ◽  
Gui Fu ◽  
Fangchao Nie ◽  
...  

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