GAM Modelling of Daily Number of Traffic Accidents as a Function of Meteorological Variables in the Czech Republic
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F26%3A00564672" target="_blank" >RIV/60162694:G42__/26:00564672 - isvavai.cz</a>
Result on the web
<a href="https://ejobsat.cz/artkey/ejo-202501-0007_gam-modelling-of-daily-number-of-traffic-accidents-as-a-function-of-meteorological-variables-in-the-czech-repub.php" target="_blank" >https://ejobsat.cz/artkey/ejo-202501-0007_gam-modelling-of-daily-number-of-traffic-accidents-as-a-function-of-meteorological-variables-in-the-czech-repub.php</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.11118/ejobsat.2024.014" target="_blank" >10.11118/ejobsat.2024.014</a>
Alternative languages
Result language
angličtina
Original language name
GAM Modelling of Daily Number of Traffic Accidents as a Function of Meteorological Variables in the Czech Republic
Original language description
Meteorological conditions exert a considerable influence on traffic patterns. This paper examines the influence of meteorological variables on the daily number of traffic accidents requiring fire brigade intervention. The influence of meteorological variables, including maximum temperature, wind speed, air pressure, precipitation, snow cover and sunshine, was examined. A Generalized Additive Model for variables with a Poisson distribution was employed for modelling purposes, as this allows for the representation of non-linear dependencies. The analysis demonstrates that the lowest incidence of accidents occurs at temperatures approximating 10 °C. The average daily number of accidents increases with windy weather, the minimum number of accidents occurs at zero precipitation, and the accident rate rises with higher levels of sunshine. In the Czech Republic, the period of greatest risk in terms of road traffic accidents is the summer and winter months. The findings may have several practical applications, for example, in the improvement of meteorological warnings in traffic.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
European Journal of Business Science and Technology
ISSN
2336-6494
e-ISSN
2694-7161
Volume of the periodical
11
Issue of the periodical within the volume
1
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
16
Pages from-to
23-38
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-105011093219