ICoRSI’s comments on WHO’s draft global targets for road safety risk factors

В настоящей статье представлены результаты экспериментального исследования динамики когнитивного компо- нента социальной установки начинающих водителей. Приведены данные анализа психометрических показателей, характеризую- щих уровень осведомленности о факторах риска дорожно-транспортной среды, – вождение в нетрезвом состоянии и скоростное вождение. Показано, как дополнительные знания об этих факторах риска приводят к изменению установки на безопасное вождение и в дальнейшем могут обусловливать количество реальных нарушений правил дорожного движения в течение первого года стажа водительскойдеятельности. This article presents the results of an experimental research of the dynamics of the cognitive component of the social attitudes of novice drivers. The data of the analysis presents the psychometric indicators that characterized of knowledge about the risk factors of the road safety – drunk driving and speeding driving. This research shows how additional knowledge about these risk factors leads to a change in the social attitude towards safe driving and can determine the number of the violations of the traffic rules during the first year of driving experience.

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Prevention of Accidents and Risk Factors of Road Safety of School Buses in the Capital City and in the Suburbs of Thailand

SSRN Electronic Journal ◽

10.2139/ssrn.2915406 ◽

2017 ◽

Cited By ~ 1

Author(s):

Vichian Puncreobutr ◽

Siriwan Tanyong ◽

Tanit Kriengsantikul

Keyword(s):

Risk Factors ◽

Road Safety ◽

Capital City ◽

School Buses

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Predicting Traffic Safety Risk Factors Using an Ensemble Classifier

Data Analytics for Smart Cities ◽

10.1201/9780429434983-9 ◽

2018 ◽

pp. 201-216

Author(s):

Nasim Arbabzadeh ◽

Mohammad Jalayer ◽

Mohsen Jafari

Keyword(s):

Risk Factors ◽

Traffic Safety ◽

Ensemble Classifier ◽

Safety Risk

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Analysis on Relationships of Safety Risk Factors in Metro Construction

Journal of Engineering Science and Technology Review ◽

10.25103/jestr.095.24 ◽

2016 ◽

Vol 9 (5) ◽

pp. 150-157 ◽

Cited By ~ 1

Author(s):

Xu Na ◽

◽

Wang Jianping ◽

Li Jie ◽

Ni Guodong ◽

...

Keyword(s):

Risk Factors ◽

Safety Risk

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Substantiation of factors of influence on traffic safety

Dorogi i mosti ◽

10.36100/dorogimosti2021.23.205 ◽

2021 ◽

Vol 2021 (23) ◽

pp. 205-213

Author(s):

Andrii Vozniuk ◽

◽

Oksana Hulchak ◽

Volodymyr Kaskiv ◽

Yevheniia Shapenko ◽

...

Keyword(s):

Cluster Analysis ◽

Traffic Flow ◽

Road Safety ◽

Traffic Management ◽

Transport Process ◽

Transport Sector ◽

Safety Risk ◽

The Road ◽

Factors Influencing ◽

Factors Of Influence

Збірник наукових праць «ДОРОГИ І МОСТИ» www.dorogimosti.org.uaISSN 2524-0994. Dorogi i mosti, 2021. Issue 23ТРАНСПОРТНІ ТЕХНОЛОГІЇ21312. Annual safety report 2018. URL: https://ec.europa.eu/transport/road_safety/sites/roadsafety/files/pdf/statistics/dacota/asr2018.pdf (Last accessed: 01.12.2020) [in English].13. Monitorynh dorozhno-transportnykh pryhod na avtomobilnykh dorohakh zahalnoho korystuvannya derzhavnoho znachennya Ukrayiny za 2018 rik [Monitoring of road accidents on public roads of state importance of Ukraine in 2018] : report. DP «DerzhdorNDI». Kyiv, 2019. 73 p. [in Ukrainian].14. Dmytrychenko M.F., Lanovyy O.T., Polishchuk V.P. Systemolohiya na transporti. Tekhnolohiya naukovykh doslidzhen’ i tekhnichnoyi tvorchosti (Knyha 2) [Systemology in transport. Technology of scientific research and technical creativity (Book 2)]. Kyiv, 2007. 318 p. [in Ukrainian].15. Duran B., Odel P. Klasterniy analiz [Cluster Analysis]. Moscow, 1977. 128 p. [in Russian].16. Zhambu M. Yerarkhycheskii klaster-analiz i sootvetstviya [Hierarchical cluster analysis and correspondences]. Moscow, 1988. 342 p. [in Russian].17. Holdberg A.M., Kozlov V.S. Obshchaya teoriya statistiki [General theory of statistics]. Moscow, 1985. 367 p. [in Russian].Volodymyr Kaskiv1, Ph.D., Associate Prof., https://orcid.org/0000-0002-8074-6798Yevheniia Shapenko2, Ph.D., https://orcid.org/0000-0003-0937-9400Oksana Hulchak2, Ph.D., Associate Prof., https://orcid.org/0000-0001-8186-4529Andrii Vozniuk3,https://orcid.org/0000-0002-7611-96521 M.P. Shulgin State Road Research Institute State Enterprise – DerzhdorNDI SE, Kyiv, Ukraine2 National Transport University, Kyiv, Ukraine 3 State Road Agency of Ukraine (Ukravtodor), Kyiv, Ukraine SUBSTANTIATION OF FACTORS OF INFLUENCE ON TRAFFIC SAFETYAbsractVelocity of personal vehicles or traffic flow for a certain period of time and on a certain section of the road is the main indicator that characterizes the impact of road conditions, environment, technical condition of the car and psychophysiological factors on the driver.To evaluate the each factor impact of on the velocity, survey was conducted on the M-06Kyiv – Chop road. A cluster analysis of field observation data was performed using the Statistica 12 software, connections were established in the middle of the data set, and the obtained data were organized into certain structures. As a result of the clustering, groups of clusters that have the greatest impact on speed were identified. Determining the hierarchy of factors influencing the speed and safety of the transport process shall improve approaches for modeling traffic flow velocity dependences. The paper describes an analysis of road safety risk factors.Problem Statement. The need to modernize approaches for traffic flow prediction, traffic volume distribution on the road network, means and methods of traffic management, traffic management systems in connection with quantitative and qualitative changes in the transport sector of Ukraine.Purpose. Road safety risk factors validation and ranking.Materials and method. Mathematical modeling and cluster analysis using survey data.Results. The dependence of speed on road conditions was improved using mathematical modeling.Conclusions. The hierarchy of factors influencing the speed and safety of the transport process is determined.Keywords: analysis, cluster, safety, road, method, model, velocity.

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MEVA - a new method of occupational health and safety risk assessment

MATEC Web of Conferences ◽

10.1051/matecconf/201929012008 ◽

2019 ◽

Vol 290 ◽

pp. 12008

Author(s):

Doru-Costin Darabont ◽

Eduard Smîdu ◽

Alina Trifu ◽

Vicențiu Ciocîrlea ◽

Iulian Ivan ◽

...

Keyword(s):

Risk Factors ◽

Risk Assessment ◽

Occupational Health ◽

Deductive Reasoning ◽

Health And Safety ◽

Occupational Health And Safety ◽

New Method ◽

Risk Level ◽

Simple Method ◽

Safety Risk

The paper describes a new method of occupational health and safety risk assessment. This method, called MEVA, unlike the old ones, focuses more on reduce or eliminate subjective issues in determining the probability of manifestation of risk factors and is based on a deductive reasoning, with the help of which is studied the chain between two or more events. The novelty of the method consists in combining risk assessment techniques with evaluation of compliance with legal and other requirements, aiming to provide a more objective results of the risk assessment. In the MEVA method, the risk matrix is defined by 5 classes of severity and 5 probability classes, resulting in 5 levels of risk. After quantifying the risk factors, prevention measures are proposed for all the identified risk factors and each partial risk level is recalculated as a result of the proposed measures. The five levels of risk were grouped into three categories: acceptable, tolerable and unacceptable. The MEVA method is a simple method and it can be used for assessing various workplaces, with different characteristics of complexity, activity domain or occupational health and safety recordings.

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