A review of the effect of traffic and weather characteristics on road safety

Theofilatos, Athanasios; Yannis, George

doi:10.1016/j.aap.2014.06.017

Cited by 317 publications

(178 citation statements)

References 87 publications

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“…For example, two studies suggested that speed adjustments by drivers (BergelHayat, Debbarh, Antoniou, & Yannis, 2013; Theofilatos et al, 2012) -i.e. being more cautious during adverse weather may be related to reduced severity during the winter, whereas higher use of motorcycles may be related to higher severity during the summer, spring and autumn in the Mediterranean region (Theofilatos & Yannis, 2014). Along this line, Nofal and Saeed (1997) reported that the presence of seasonal patterns in accident numbers were significantly higher during the hot daylight periods of the summer season in the City of Riyadh, Saudi Arabia.…”

Section: Discussionsupporting

confidence: 54%

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Factors associated with urban non-fatal road-accident severity

Potoglou

Carlucci

Cirà

et al. 2018

International Journal of Injury Control and Safety Promotion

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This paper reports on the factors associated with non-fatal urban-road accident severity. Data on accidents were gathered from the local traffic police in the City of Palermo, one of the six most populated cities in Italy. Findings from a mixed-effects logistic-regression model suggest that accident severity increases when two young drivers are involved, road traffic conditions are light/normal and when vehicles crash on a two-way road or carriageway. Speeding is more likely to cause slight or serious injury even when compared to a vehicle moving towards the opposite direction of traffic. An accident during the summer is more likely to result in a slight or serious injury than an accident during the winter, which is in line with evidence from Southern Europe and the Middle East. Finally, the severity of non-fatal accident injuries in an urban area of Southern Europe was significantly associated with speeding, the age of the driver and seasonality.

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Section: Discussionsupporting

confidence: 54%

“…intersections) (Theofilatos, Graham, & Yannis, 2012;Theofilatos & Yannis, 2014). Driver's age, for example, is a characteristic case in which there has been a variety of definitions.…”

Section: Introductionmentioning

confidence: 99%

Factors associated with urban non-fatal road-accident severity

Potoglou

Carlucci

Cirà

et al. 2018

International Journal of Injury Control and Safety Promotion

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“…Theofilatos et al [22] review over 70 studies on crash rates in relation to driving conditions and find that approximately only 20 of them contain both traffic and weather data, among which five studies focus on the severity and 15 studies focus on the likelihood of the crash. The outcomes for crash severity and likelihood may not be the same.…”

Section: Approaches In Analysis Of Road Traffic Sensitivity To Weathementioning

confidence: 99%

Weather Conditions, Weather Information and Car Crashes

Perrels

Votsis

Nurmi

et al. 2015

IJGI

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Road traffic safety is the result of a complex interaction of factors, and causes behind road vehicle crashes require different measures to reduce their impacts. This study assesses how strongly the variation in daily winter crash rates associates with weather conditions in Finland. This is done by illustrating trends and spatiotemporal variation in the crash rates, by showing how a GIS application can evidence the association between temporary rises in regional crash rates and the occurrence of bad weather, and with a regression model on crash rate sensitivity to adverse weather conditions. The analysis indicates that a base rate of crashes depending on non-weather factors exists, and some combinations of extreme weather conditions are able to substantially push up crash rates on days with bad weather. Some spatial causation factors, such as variation of geophysical characteristics causing systematic differences in the distributions of weather variables, exist. Yet, even in winter, non-spatial factors are normally more significant. GIS data can support optimal deployment of rescue services and enhance in-depth quantitative analysis by helping to identify the most appropriate spatial and temporal resolutions. However, the supportive role of GIS should not be inferred as existence of highly significant spatial causation.

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“…The paper by Hooper et al (2014) determined the relationship between traffic flow and precipitation based on research done on the motorways in England [17]. Wang et al (2014) examined the effect of asphalt surfacing roughness (abrasion) on the speed of free flow [18], while Theofilatos (2014) gave an overview of the effects of traffic and climate characteristics on the road safety [19]. The phenomenon of occurrence of bottlenecks on the motorways and blocking traffic was considered in the work of Mendes et al (2014) and Chen et al (2015) [20,21].…”

Section: Literature Reviewmentioning

confidence: 99%