Bicyclists injury severities: An empirical assessment of temporal stability

Hosseini, Seyed Hashem; Davoodi, Seyed Rasoul; Behnood, Ali

doi:10.1016/j.aap.2022.106616

Cited by 18 publications

(5 citation statements)

References 56 publications

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“…As shown in Table A11, both the clear indicator in 2014-2015 and the fog indicator in 2012-2013 increased the probability of severe injury in non-angle collisions (0.0437 and 0.0005, respectively). Similar to findings from previous studies [55], increased risky driving behavior in clear weather may be responsible for the higher likelihood of severe injury. However, neither of the indicators (fog or clear) had a significant effect on angle collisions.…”

Section: Environmental Characteristicssupporting

confidence: 87%

Temporal Instability Analysis of Injury Severities for Angle and Non-Angle Crashes at Roundabouts

Li,

Ge,

Chen

et al. 2023

Applied Sciences

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Roundabout crashes are common worldwide but have received little attention. In particular, the investigation remains relatively understudied in distinct collision modes of roundabout crashes, including angle and non-angle crashes. This study investigates differences in factors affecting injury severity between angle and non-angle crashes and how these differences change over time. Random parameter logit models with heterogeneity in mean and variance were estimated using 2012–2019 Florida crash data. Variables considered for the modeling include temporal characteristics, environmental characteristics, road characteristics, spatial characteristics, vehicle characteristics, crash characteristics, and human characteristics. In addition, likelihood ratio tests were used to investigate the temporal instabilities of the models and differences in collision modes. The results showed that only a few variables demonstrated temporally stable effects for angle collisions (weekend and dark-lighted) and non-angle collisions (paved shoulders and cyclists), respectively. Unique influencing factors of injury severity were identified for different collision modes, such as dark-lighted, straight alignment, merge, lane departure, the disabled driver for angle collisions, and clear, fog, commercial vehicles, and aggressive driving for non-angle collisions. The results of the out-of-sample prediction simulations further demonstrate the difference in injury severity over time for angle and non-angle collisions. Overall results suggest that countermeasures can be implemented to reduce the injury severity of angle crashes/non-angle crashes based on the significant variables identified. This study may be used to improve roundabout safety by considering different collision modes.

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Section: Environmental Characteristicssupporting

confidence: 87%

Temporal Instability Analysis of Injury Severities for Angle and Non-Angle Crashes at Roundabouts

Li,

Ge,

Chen

et al. 2023

Applied Sciences

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“…Bicycle-related trauma represents an essential percentage of road traffic victims worldwide [2,10]. The increasing diffusion of this type of transport responds to antipollution policies, representing a valid alternative method of mobility in heavy-traffic urban areas [8,11]. Bicycle mobility was also improved by the diffusion of different bike-sharing companies worldwide, which has made this popular type of transport easily available in a few minutes [12].…”

Section: Discussionmentioning

confidence: 99%

“…Most of the studies on bicycle-related trauma investigated the epidemiological and social impact of helmet use on cyclists, often with conflicting results [7,8].…”

Section: Introductionmentioning

confidence: 99%

Predictors of Mortality in Bicycle-Related Trauma: An Eight-Year Experience in a Level One Trauma Center

Reitano

Cioffi

Virdis

et al. 2022

JPM

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Background: Bicycle-related trauma has increased during the last decades, mainly due to the antipollution environmental policies. This study investigates the outcome of bicycle-related trauma in our level-one trauma center over a period of eight years. Methods: Data from 446 consecutive bicycle-related trauma patients admitted to our trauma center from 2011 to 2019 were selected and retrospectively analyzed. The sample was divided into three age groups: <18 years, 18–54 years, and ≥55 years. Mortality rates were obtained for the overall population and patients with an Injury Severity Score (ISS) ≥ 25. Month and seasonal patients’ distribution was described to provide an epidemiological overview of bike-related trauma over the years. Results: Patients ≥ 55 years showed a lower pre-hospital and in-hospital GCS (p ≤ 0.001), higher levels of lactates (p < 0.019) and higher ISS (p ≤ 0.001), probability of death (p ≤ 0.001), and overall mortality (p ≤ 0.001). The head and chest Abbreviated Injury Scale (AIS) ≥ 3 injuries were predictors of mortality, especially in patients over 55 years (p < 0.010). Bicycle-related trauma was more frequent during the summer (34%), particularly in July and August. Conclusions: Age over 55 years old, head and chest injuries, and an ISS > 25 were independent predictors of mortality.

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“…However, cyclists are particularly vulnerable road users, lacking the protection afforded by motorists, and therefore, they are at a higher risk of sustaining fatal injuries in collisions [ 2 ]. Ensuring the safety of cyclists has become a major concern for traffic engineers and policymakers [ 3 ]. According to the World Health Organization (WHO), over 1.35 million people worldwide will lose their lives in road traffic crashes during 2020, with approximately 41,000 of these fatalities involving cyclists, accounting for 3% of global road traffic deaths [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Analysis of factors influencing the degree of accidental injury of bicycle riders considering data heterogeneity and imbalance

Dong,

Zhang,

Wang

et al. 2024

PLoS ONE

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Bicycle safety has emerged as a pressing concern within the vulnerable transportation community. Numerous studies have been conducted to identify the significant factors that contribute to the severity of cyclist injuries, yet the findings have been subject to uncertainty due to unobserved heterogeneity and class imbalance. This research aims to address these issues by developing a model to examine the impact of key factors on cyclist injury severity, accounting for data heterogeneity and imbalance. To incorporate unobserved heterogeneity, a total of 3,895 bicycle accidents were categorized into three homogeneous sub-accident clusters using Latent Class Cluster Analysis (LCA). Additionally, five over-sampling techniques were employed to mitigate the effects of data imbalance in each accident cluster category. Subsequently, Bayesian Network (BN) structure learning algorithms were utilized to construct 32 BN models after pairing the accident data from the four accident cluster types before and after sampling. The optimal BN models for each accident cluster type provided insights into the key factors associated with cyclist injury severity. The results indicate that the key factors influencing serious cyclist injuries vary heterogeneously across different accident clusters. Female cyclists, adverse weather conditions such as rain and snow, and off-peak periods were identified as key factors in several subclasses of accident clusters. Conversely, factors such as the week of the accident, characteristics of the trafficway, the season, drivers failing to yield to the right-of-way, distracted cyclists, and years of driving experience were found to be key factors in only one subcluster of accident clusters. Additionally, factors such as the time of the crash, gender of the cyclist, and weather conditions exhibit varying levels of heterogeneity across different accident clusters, and in some cases, exhibit opposing effects.

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Bicyclists injury severities: An empirical assessment of temporal stability

Cited by 18 publications

References 56 publications

Temporal Instability Analysis of Injury Severities for Angle and Non-Angle Crashes at Roundabouts

Temporal Instability Analysis of Injury Severities for Angle and Non-Angle Crashes at Roundabouts

Predictors of Mortality in Bicycle-Related Trauma: An Eight-Year Experience in a Level One Trauma Center

Analysis of factors influencing the degree of accidental injury of bicycle riders considering data heterogeneity and imbalance

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