Road traffic crashes at night-time: characteristics and risk factors

Ackaah, Williams; Apuseyine, Benjamin Aprimah; Afukaar, Francis

doi:10.1080/17457300.2020.1785508

Cited by 43 publications

(24 citation statements)

References 32 publications

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“…At night, poor visibility may result in a higher risk of RTI and RTA mortality. A 5-year epidemiological study in Ghana revealed that the relative risk of mortality in a nighttime traffic crash was 1.3 times higher than that in a daytime traffic crash [ 62 ]. The present study showed that individuals involved in RTAs late at night (0:00 to 5:59) were at a 1.5 times higher risk of sustaining severe injury than those involved in RTAs during the day.…”

Section: Discussionmentioning

confidence: 99%

Association of Air Pollution and Weather Factors with Traffic Injury Severity: A Study in Taiwan

Chan

Pai

et al. 2022

IJERPH

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Exposure to air pollutants may elevate the injury severity scores (ISSs) for road traffic injuries (RTIs). This multicenter cross-sectional study aimed to investigate the associations between air pollution, weather conditions, and RTI severity. This retrospective study was performed in Taiwan in 2018. The location of each road traffic accident (RTA) was used to determine the nearest air quality monitoring and weather station, and the time of each RTA was matched to the corresponding hourly air pollutant concentration and weather factors. Five multiple logistic regression models were used to compute the risk of sustaining severe injury (ISS ≥ 9). Of the 14,973 patients with RTIs, 2853 sustained severe injury. Moderate or unhealthy air quality index, higher exposure to particulate matter ≤2.5 μm in diameter, bicyclists or pedestrians, greater road width, nighttime, and higher temperature and relative humidity were significant risk factors for severe injury. Exposure to nitrogen oxide and ozone did not increase the risk. Auto occupants and scene-to-hospital time were the protective factors. Sensitivity analyses showed consistent results between air pollutants and the risk of severe injury. Poor air quality and hot and humid weather conditions were associated with severe RTIs. Active commuters were at higher risk of sustaining severe RTI.

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Section: Discussionmentioning

confidence: 99%

Association of Air Pollution and Weather Factors with Traffic Injury Severity: A Study in Taiwan

Chan

Pai

et al. 2022

IJERPH

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“…Poor visibility at night and poor visual guidance on the road are the main risk reasons associated with travel by night. e relative risk of a traffic fatality at nighttime is 1.3 times higher than that of daytime [28]. e lighting conditions also have a significant impact.…”

Section: Factors Affecting Traffic Crashesmentioning

confidence: 99%

Investigation of Contributing Factors to Traffic Crashes and Violations: A Random Parameter Multinomial Logit Approach

Lee

Mao

et al. 2021

Journal of Advanced Transportation

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This study investigates contributing factors to traffic violations by seriousness. The traffic violations are divided into four categories by seriousness (unintentional violation, minor violation, serious violation, and crash with violation). The results of the random parameter multinomial logit model indicate that various factors potentially affect the severity of traffic violations. The key findings include the following: (1) female drivers are more likely to commit minor violations; (2) drivers from an area with a longer travel time to work and a higher proportion of driving to work are more likely to have minor violations and serious violations, while those from the high-income area are less likely; (3) drivers are more likely to be associated with a more minor infraction during the afternoon peak (4 p.m.–6 p.m.). The results from this study are expected to be beneficial for policymakers and traffic police to comprehend the factors affecting violations and implement effective strategies to minimize the number and seriousness of traffic violations.

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“…Besides, the crash severity of nighttime is found to be more serious than that of daytime for multivehicle crashes [13,14]. Ackaah et al (2020) speculated that the poor night visibility coupled with poor visual guidance on roads is the critical factor leading to more serious crashes [15]. Because of the divergencies of different periods in influencing the crashes, the effects should be separately investigated with disaggregate models to ensure the accuracy of the analysis [16].…”

Section: Time Distribution Of Traffic Crashesmentioning

confidence: 99%

Exploring Relationships between Months and Different Crash Types on Mountainous Freeways Using a Combined Modeling Approach

Zhang

Bai

et al. 2022

Journal of Advanced Transportation

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Investigating the relationship between the months and traffic crashes is a foremost task for the safety improvement of mountainous freeways. Taking a mountainous freeway located in China as an example, this paper proposed a combined modeling framework to identify the relationships between months and different crash types. K-means and Apriori were initially used to extract the monthly distribution patterns of different types of crashes. A graphical approach and a risk calculation equation were developed to assess the output of K-means and Apriori. Then, using the assessment results as the input, a logistic regression model was constructed to quantify the effects of each month on crashes. The results indicate that the monthly distribution patterns of different crash types are inconsistent, i.e., for a specific month, the high risk of a certain crash type may be covered up if experts only focus on the total number of crashes. Moreover, when identified as high-risk months by K-means and Apriori, the crash-proneness will significantly increase several times than months identified as high-risk by only one of K-means and Apriori, thereby illustrating the superior performance of the mix-method. The conclusions can assist local relevant organizations in formulating strategies for preventing different types of traffic crashes in different months (e.g., the risk of rear-end crashes in August, the risk of fixed-object hitting crashes in February, and the risk of overturning crashes in October) and provide a methodological reference for relevant studies in other regions.

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Road traffic crashes at night-time: characteristics and risk factors

Cited by 43 publications

References 32 publications

Association of Air Pollution and Weather Factors with Traffic Injury Severity: A Study in Taiwan

Association of Air Pollution and Weather Factors with Traffic Injury Severity: A Study in Taiwan

Investigation of Contributing Factors to Traffic Crashes and Violations: A Random Parameter Multinomial Logit Approach

Exploring Relationships between Months and Different Crash Types on Mountainous Freeways Using a Combined Modeling Approach

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