Good weather for a ride (or not?) : how weather conditions impact road accidents - a case study from Wielkopolska (Poland)
© 2023. The Author(s)..
This study offers a likely assessment of extreme meteorological events' impact on human perceptivity, frame of mind or even health during driving which might have had a consequence as a car accident. Research covered an analysis of car accidents during period 2010-2019 in the Wielkopolska (Poland) and four indices like maximum daily temperature, maximum value of humidex, difference between maximum temperatures observed from day to day and also difference between mean atmospheric pressure at the sea level observed from day to day. A distributed lag nonlinear model (DLNM) approach was used to obtain the relationship between these indices and car accidents. Our finding evidence that the "good weather for a ride" conditions are actually generating an increased risk of accidents. For indices related to high temperature, i.e., maximum temperature and humidex, it was possible to identify the critical values by which the risks of car accidents were the highest.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:68 |
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| Enthalten in: |
International journal of biometeorology - 68(2024), 2 vom: 02. Jan., Seite 317-331 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Pińskwar, Iwona [VerfasserIn] |
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| Links: |
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| Themen: |
Extreme weather |
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| Anmerkungen: |
Date Completed 18.01.2024 Date Revised 21.01.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1007/s00484-023-02592-3 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 520 | |a © 2023. The Author(s). | ||
| 520 | |a This study offers a likely assessment of extreme meteorological events' impact on human perceptivity, frame of mind or even health during driving which might have had a consequence as a car accident. Research covered an analysis of car accidents during period 2010-2019 in the Wielkopolska (Poland) and four indices like maximum daily temperature, maximum value of humidex, difference between maximum temperatures observed from day to day and also difference between mean atmospheric pressure at the sea level observed from day to day. A distributed lag nonlinear model (DLNM) approach was used to obtain the relationship between these indices and car accidents. Our finding evidence that the "good weather for a ride" conditions are actually generating an increased risk of accidents. For indices related to high temperature, i.e., maximum temperature and humidex, it was possible to identify the critical values by which the risks of car accidents were the highest | ||
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