Risk factors for motorcycle loss-of-control crashes

Wu, Dan; Hours, Martine; Martin, Jean-Louis

doi:10.1080/15389588.2017.1410145

Cited by 27 publications

(17 citation statements)

References 20 publications

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“…The proportion of motorcyclist fatalities is largely unchanged worldwide or even increased in some regions since 2010 [ 1 ]. Considering the lower passive and active safety specifications in motorcycles compared to 4-wheel vehicles as well as the individual characteristics of motorcycle riders versus other vehicle drivers, the role of riding behavior is much more pronounced among motorcycle riders [ 2 – 4 ]. Investigating the riding behaviors of motorcyclists and assessing risky riding behaviors is essential for planning the motorcycle safety promotion interventions.…”

Section: Introductionmentioning

confidence: 99%

The short Persian version of motorcycle riding behavior questionnaire and its interchangeability with the full version

et al. 2018

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The aim of current study was to develop a valid and reliable short motorcycle riding behavior questionnaire (SMRBQ) and assess its interchangeability with the original 48-item tool. Through a psychometric study in Bukan district of Iran in 2015, the most recent available Persian version of the motorcycle riding behavior questionnaire (MRBQ) was used as a reference to develop its short version, the SMRBQ. The preliminary version was prepared through expert reviews, and its dimension was further reduced through principal component analysis (PCA). An exploratory factor analysis (EFA) was then applied on the remaining items and the final version was developed with 23 items. The validity, consistency, agreement and interchangeability of the SMRBQ were assessed in parallel with the MRBQ using several statistical methods including Kendall’s Tau, intra-class correlation coefficient (ICC), Bland-Altman plot and receiver operating characteristics (ROC) curve analysis. All the 340 participants were males. The mean age of the participants was 30.2 (SD = 9.1). SMRBQ was developed including 23 items. The mean normalized score for the full version was 30.5 (SD = 11.2) and it was 30 (SD = 13.9) for the short version. There was a high correlation between the normalized scores of MRBQ and SMRBQ (Kendall’s Tau = 0.82). The ICC of the interchangeability of the full version and short version scales was as high as 0.92 (95% CI: 90.2–93.5). The scale had adequate internal consistency based on the calculated Cronbach’s alpha which was 0.85 for the scale. Bland-Altman and ROC curve analysis confirmed the interchangeability and criterion validity of the SMRBQ. The Persian version of SMRBQ was found to be a valid, reliable and feasible tool for assessing motorcycle riding behavior in the studied population.

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Section: Introductionmentioning

confidence: 99%

The short Persian version of motorcycle riding behavior questionnaire and its interchangeability with the full version

et al. 2018

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“…Trunk roads including T-intersections have previously been shown to be associated with higher rates of fatal and severe injuries among motorcyclists (Abdul Manan & Várhelyi, 2015;Haque et al, 2012). A possible explanation is that motorcyclists are more likely to absorb more kinetic energy released when they collide with buses and lorries on the trunk roads and therefore, suffer more severe consequences (Milling, 2016).In addition, data have shown that unseparated two-way roads may increase the likelihood of motorcyclists to collide with an incoming vehicle when switching from one lane to the other (Wu et al, 2018)and also a higher risk of fatal injuries (Elvik, 2009;Olabarria et al, 2015;Shankar, 2001).A French study showed that the risk of motorcycle crashes was four times higher among motorcycle riders who chose to lane filter on urban roads compared to those who did not (Clabaux et al, 2017). Road geometric design, presence of horizontal or vertical curvature have also shown to increase the probability of motorcyclists losing control and running off the road (Rifaat et al, 2012;Schneider et al, 2010).…”

Section: Discussionmentioning

confidence: 99%

Investigation of road infrastructure and traffic density attributes at high-risk locations for motorcycle-related injuries using multiple correspondence and cluster analysis in urban Tanzania

Francis

Moshiro

Yngve

et al. 2021

International Journal of Injury Control and Safety Promotion

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Rapid growth in use of motorcycles combined with limited road infrastructures has increased the burden of road traffic crashes and injuries in low-and middle-income countries. the aim of this study was to assess whether high-risk locations for motorcycle-related injuries identified from police crash data registers for the period 2016 to 2017 share similar road infrastructure and traffic density attributes in Dar es salaam city. analysis was performed using multiple correspondence and hierarchical cluster analysis. three distinct clusters for motorcycle injury hotspots were identified. clusters 1 and 2 were associated with more fatal and severe injuries and were characterized by overrepresentation of trunk roads, unseparated two-way roads, mixture of road users and commercial and residential areas compared to cluster 3. cluster3 was associated with less severe injuries compared to clusters 1 and 2 (p < 0.001). cluster 3 was characterized by overrepresentation of feeder/street roads, separated two-way roads and presence of traffic control measures. the clusters of hotspots differed by road infrastructure and traffic density attributes. clusters 1 and 2 were characterized by more dangerous road environments, while cluster 3 was characterized by road environments with less severe outcomes. these findings can assist in prioritizing preventive strategies for motorcycle-related injuries.

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“…For single vehicle crashes, we did not manage to get good performance. The very low number of non-responsible road users as assessed by the experts suggested that it is reasonable to assume that drivers were always responsible in that configuration, with some very specific exceptions where it was quite impossible for the driver to anticipate a crash situation, such as oil on the road or a truck dropping its load (Wu, Hours, & Martin, 2018).…”

Section: Discussionmentioning

confidence: 99%

Prediction of responsibility for drivers and riders involved in injury road crashes

Garcia

Viallon

Bouaoun

et al. 2019

Journal of Safety Research

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Responsibility analysis allows the evaluation of crash risk factors from crash data only, but requires a reliable responsibility assessment. The aim of the present study is to predict expert responsibility attribution (considered as a gold-standard) from explanatory variables available in crash data routinely recorded by the police, according to a data-driven process with explicit rules. Driver responsibility was assessed by experts in the light of all information contained in police reports for a sample of about 5,000 injury crashes that occurred in France in 2011. Three statistical methods were implemented to predict expert responsibility attribution: logistic regression with L1 penalty, random forests, and boosting. Potential predictors of expert attribution referred to inappropriate driver actions and to external conditions at the time of the crash. Logistic regression was finally chosen to construct a score to assess responsibility for drivers and riders in crashes involving one or more motor vehicles, or involving a cyclist or pedestrian. Cross-validation showed that our tool can predict expert responsibility assessments on new data sets. In addition, responsibility analyses performed using either the expert responsibility or our predicted responsibility return similar odds ratios. Our scoring process can then be used to reliably assess responsibility based on national police report databases, provided that they include the information needed to construct the score.

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Risk factors for motorcycle loss-of-control crashes

Abstract: The LOC crash factors related to riders, vehicles, and road infrastructure identified here were expected but were rarely identified and taken simultaneously into account in previous studies. They could be targeted by countermeasures to improve motorcyclist safety.

Cited by 27 publications

References 20 publications

The short Persian version of motorcycle riding behavior questionnaire and its interchangeability with the full version

The short Persian version of motorcycle riding behavior questionnaire and its interchangeability with the full version

Investigation of road infrastructure and traffic density attributes at high-risk locations for motorcycle-related injuries using multiple correspondence and cluster analysis in urban Tanzania

Prediction of responsibility for drivers and riders involved in injury road crashes

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