Exploring weather-related factors affecting the delay caused by traffic incidents: Mitigating the negative effect of traffic incidents

Su, Xiangtong; Zhi, Danyue; Song, Dongdong; Liu, Tian; Yang, Yitao

doi:10.1016/j.scitotenv.2023.162938

Cited by 9 publications

(1 citation statement)

References 39 publications

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“…Most of studies of the impact of extreme meteorological events on road accidents presented influence of hot or cold temperature (Basagaña et al 2015 ; Liu et al 2017 ; Wu et al 2018 ; Park et al 2021 ; Basagaña and de la Peña-Ramirez 2023 ), some of them on extreme precipitation (Liu et al 2017 ; Jaroszweski and McNamara 2014 , Keay and Simmonds 2005 ), snowfall (Eisenberg and Warner 2005 ; Abohassan et al 2022 ), or seasonal variations in road injuries (Gill and Goldacre 2009 ). The strong wind, low visibility, and temperature were considered in the context of delays caused by a road accident (Su et al 2023 ). Abe et al ( 2008 ) studied the impact of weather conditions (barometric pressure, ambient temperature, relative humidity, and rainfall) on the occurrence of trauma among patients transported to hospitals.…”

Section: Introductionmentioning

confidence: 99%

Good weather for a ride (or not?): how weather conditions impact road accidents — a case study from Wielkopolska (Poland)

Pińskwar,

Choryński,

Graczyk

2023

Int J Biometeorol

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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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