Mathematical analysis of certain road safety indicators in the Russian Federation

Introduction. A large number of fatalities on the roads of the Russian Federation is a significant state problem; to reduce this indicator, various target programs are being developed at the national level. To assess the achievement of the established target programs, it is necessary to perform a ma...

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Main Author: A. G. Shevtsova
Format: Article
Language:Russian
Published: Siberian State Automobile and Highway University 2022-01-01
Series:Вестник СибАДИ
Subjects:
Online Access:https://vestnik.sibadi.org/jour/article/view/1369
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author A. G. Shevtsova
author_facet A. G. Shevtsova
author_sort A. G. Shevtsova
collection DOAJ
description Introduction. A large number of fatalities on the roads of the Russian Federation is a significant state problem; to reduce this indicator, various target programs are being developed at the national level. To assess the achievement of the established target programs, it is necessary to perform a mathematical analysis of certain road safety indicators, which makes it possible to establish the most accurate mathematical model describing certain interrelationships of the indicators under consideration for the subsequent forecast and assessment of the achievement of the established target indicators, which will allow assessing the effectiveness certain guidelines of state policy in the area under consideration.Methods and materials. In the research work, methods of statistical and mathematical analysis, models for determining the state of road safety at different levels - world, state and regional, depending on various parameters are used.Results. A mathematical model for assessing road safety indicators based on the analysis of transport and social risk parameters is proposed, their low relationship is determined and the possibility of using them as independent parameters for assessing the state of road safety at the national level is established.Conclusion. The absence of a close relationship between the indicator of social risk and motorization, measured in the number of cars per 1000 inhabitants (the value of the correlation coefficient is 0,422), was found, which allows one to judge the presence of other factors influencing the parameter under consideration.
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spelling doaj.art-c1b663de9ac143dca4ffd9620e50abb72023-03-13T09:52:50ZrusSiberian State Automobile and Highway UniversityВестник СибАДИ2071-72962658-56262022-01-0118670071110.26518/2071-7296-2021-18-6-700-711710Mathematical analysis of certain road safety indicators in the Russian FederationA. G. Shevtsova0Белгородский государственный технологический университет им. В.Г. ШуховаIntroduction. A large number of fatalities on the roads of the Russian Federation is a significant state problem; to reduce this indicator, various target programs are being developed at the national level. To assess the achievement of the established target programs, it is necessary to perform a mathematical analysis of certain road safety indicators, which makes it possible to establish the most accurate mathematical model describing certain interrelationships of the indicators under consideration for the subsequent forecast and assessment of the achievement of the established target indicators, which will allow assessing the effectiveness certain guidelines of state policy in the area under consideration.Methods and materials. In the research work, methods of statistical and mathematical analysis, models for determining the state of road safety at different levels - world, state and regional, depending on various parameters are used.Results. A mathematical model for assessing road safety indicators based on the analysis of transport and social risk parameters is proposed, their low relationship is determined and the possibility of using them as independent parameters for assessing the state of road safety at the national level is established.Conclusion. The absence of a close relationship between the indicator of social risk and motorization, measured in the number of cars per 1000 inhabitants (the value of the correlation coefficient is 0,422), was found, which allows one to judge the presence of other factors influencing the parameter under consideration.https://vestnik.sibadi.org/jour/article/view/1369математическая модельтранспортный рисксоциальный рискавтомобилизациямодель смида
spellingShingle A. G. Shevtsova
Mathematical analysis of certain road safety indicators in the Russian Federation
Вестник СибАДИ
математическая модель
транспортный риск
социальный риск
автомобилизация
модель смида
title Mathematical analysis of certain road safety indicators in the Russian Federation
title_full Mathematical analysis of certain road safety indicators in the Russian Federation
title_fullStr Mathematical analysis of certain road safety indicators in the Russian Federation
title_full_unstemmed Mathematical analysis of certain road safety indicators in the Russian Federation
title_short Mathematical analysis of certain road safety indicators in the Russian Federation
title_sort mathematical analysis of certain road safety indicators in the russian federation
topic математическая модель
транспортный риск
социальный риск
автомобилизация
модель смида
url https://vestnik.sibadi.org/jour/article/view/1369
work_keys_str_mv AT agshevtsova mathematicalanalysisofcertainroadsafetyindicatorsintherussianfederation