Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/73969
Title: Influence of regional features of psycho- emotional state of the Russian society on road accidents severity
Authors: Petrov, A.
Evtyukov, S.
Petrova, D.
Issue Date: 2018
Publisher: EDP Sciences
Citation: Petrov A. Influence of regional features of psycho- emotional state of the Russian society on road accidents severity / A. Petrov, S. Evtyukov, D. Petrova // MATEC Web of Conferences. — 2018. — Vol. 239. — 2009. — DOI: 10.1051/matecconf/201823902009.
Abstract: The article considers issues of assessment of the relation between road accidents severity and psychoemotional state of Russian society. In the context of the hypothesis about the significant impact of people's awareness of the value of life on their ordinary behavior, four subtasks were solved. Firstly, the difference in road accidents severity between all road accidents and road accidents that happened in alcohol intoxication state was established. Secondly, indicators of the psychoemotional state of people from different Russian regions were identified. Thirdly, dependencies Road accidents severity = f(Psychoemotional state of people from Russian region) for two cases - All road accidents and Road accidents that happened in alcohol intoxication state were defined. Finally, it was found that degree of impact of alcohol intoxication on road accidents severity depends on the psychoemotional state of people from different Russian regions. Produced results can be used in the development of regional programs of road safety management taking into account features of the psychoemotional background in different subjects of Russia. © The Authors, published by EDP Sciences, 2018.
Keywords: ACCIDENTS
MOTOR TRANSPORTATION
ROADS AND STREETS
ALCOHOL INTOXICATION
EMOTIONAL STATE
REGIONAL FEATURE
REGIONAL PROJECTS
ROAD SAFETY
SUBTASKS
HIGHWAY PLANNING
URI: http://elar.urfu.ru/handle/10995/73969
Access: cc-by
Conference name: 2018 Siberian Transport Forum - TransSiberia, TS 2018
Conference date: 16 May 2018 through 19 May 2018
RSCI ID: 38641718
SCOPUS ID: 85058453423
PURE ID: 8415800
ISSN: 2261-236X
DOI: 10.1051/matecconf/201823902009
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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