Factors related to severe single-vehicle tree crashes: In-depth crash study

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44994575%3A_____%2F22%3AN0000011" target="_blank" >RIV/44994575:_____/22:N0000011 - isvavai.cz</a>

Result on the web

<a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0248171" target="_blank" >https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0248171</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1371/journal.pone.0248171" target="_blank" >10.1371/journal.pone.0248171</a>

Result language

angličtina

Original language name

Factors related to severe single-vehicle tree crashes: In-depth crash study

Original language description

Vehicle-tree collisions are the most common type of road crash with fixed obstacle in Czech Republic. Based on the literature review and using real world in-depth crash data, this paper aims to define factors, which significantly influence the injury severity of single vehicle-tree crashes. In-depth data provide a comprehensive view to the failure on the system infrastructure—human—vehicle related to crash, the in-depth crash database include very detailed information related to infrastructure, vehicle, human failure and crash participants characteristics and their medical condition and also crash reconstruction. Multinomial logistic regression and generalized linear mixed model were used to determine the individual effect of each predictor. The statistically significant variables were the day period, trunk diameter and impact speed. Using multinomial logistic regression shows also vehicle age as statistically significant. Obtained results can help to efficiently direct countermeasures not only on the road infrastructure—e.g. speed reduction in selected locations with specified tree character. However, the emphasis should be also focused on driver behaviour.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10103 - Statistics and probability

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Plos One

ISSN

1932-6203

e-ISSN

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Volume of the periodical

17

Issue of the periodical within the volume

1

Country of publishing house

CN - CHINA

Number of pages

14

Pages from-to

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UT code for WoS article

000769158400001

EID of the result in the Scopus database

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