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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

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

  • 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

  • EID of the result in the Scopus database

    2-s2.0-105011093219