An analysis of the injury severity of motorcycle crashes in Brazil using mixed ordered response models

Cunto, Flávio José Craveiro; Ferreira, Sara

doi:10.1080/19439962.2016.1162891

Cited by 54 publications

(30 citation statements)

References 23 publications

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“…Of these, econometric modeling approaches, which focus on the analysis of injury severity from the perspective of overall safety and its econometric implications, hold considerable promise. Conditional on a crash having occurred, econometric crash-severity models cover a broad range of methods, including the binary logit models [ 16 ], ordered logit/probit models [ 11 , 14 , 15 , 22 , 23 ], generalized ordered logit models [ 22 ], multinomial logit models [ 10 , 17 ], nested logit models [ 17 ], proportional odds models [ 12 ], a latent class multinomial logit model [ 25 ], and mixed (random parameters) logit models [ 24 , 27 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Injury Severity of Motorcycle Riders Involved in Traffic Crashes in Hunan, China: A Mixed Ordered Logit Approach

Chang

et al. 2016

IJERPH

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Issues related to motorcycle safety in China have not received enough research attention. As such, the causal relationship between injury outcomes of motorcycle crashes and potential risk factors remains unknown. This study intended to investigate the injury risk of motorcyclists involved in road traffic crashes in China. To account for the ordinal nature of response outcomes and unobserved heterogeneity, a mixed ordered logit model was employed. Given that the crash occurrence process is different between intersections and non-intersections, separate models were developed for these locations to independently estimate the impacts of various contributing factors on motorcycle riders’ injury severity. The analysis was based on the police-reported crash dataset obtained from the Traffic Administration Bureau of Hunan Provincial Public Security Ministry. Factors associated with a substantially higher probability of fatalities and severe injuries included motorcycle riders older than 60 years, the absence of helmets, motorcycle riders identified to be equal duty, and when a motorcycle collided with a heavy vehicle during the night time without lighting. Crashes occurred along county roads with curve and slope alignment or at regions with higher GDP were associated with an elevated risk of fatality of motorcycle riders, while unsignalized intersections were related to less severe injuries. Findings of this study are beneficial in forming several targeted countermeasures for motorcycle safety in China, including designing roads with appropriate road delineation and street lighting, strict enforcement for speeding and red light violations, promoting helmet usage, and improving the conspicuity of motorcyclists.

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Section: Literature Reviewmentioning

confidence: 99%

Injury Severity of Motorcycle Riders Involved in Traffic Crashes in Hunan, China: A Mixed Ordered Logit Approach

Chang

et al. 2016

IJERPH

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“…For instance, male sex was frequently identified as a risk factor [10,11] because men comprise the predominant group of motorcycle users. Elderly riders (aged ≥60 years) were more likely to be severely or fatally injured because of their high comorbidities [12–14]. Inexperience and risky behaviours have been identified as causes of poor outcomes [14–17].…”

Section: Introductionmentioning

confidence: 99%

“…In terms of riding behaviours, drunk riding and using both psychoactive drugs and illicit substances have been globally recognised as crucial factors for motorcyclist casualties [16–19]. Wearing a helmet has been consistently reported to have a protective effect [12,17,19,20]. Although protective clothing can reduce injury severity in riders of heavy motorcycles [21], its effect on LMC crashes has not been investigated.…”

Section: Introductionmentioning

confidence: 99%

Rider factors associated with severe injury after a light motorcycle crash: A multicentre study in an emerging economy setting

et al. 2019

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Objective In Taiwan, light motorcycles (LMCs) with cylinder capacities between 50 and 250 cc are widely used for daily commute. These vehicles are operated in a mixed traffic environment and prohibited on highways. In light of increasing motorcycle casualties, we conducted a multicentre study to analyse rider factors affecting injury severity. Methods Riders hospitalised upon LMC crashes were contacted. Information on demographics, comorbidities, and riding behaviours was collected through questionnaires and linked to hospital data. The injury severity score (ISS) and length of hospitalisation (LOH) were used as injury severity measures. Results In total, 725 patients (mean age: 37.7 years; 64% men) completed their questionnaires. Multivariate analysis results showed that age ≥ 65 years, half-face helmets, protective clothing, collisions with a bus/truck or car, and fatigue riding were risk factors for having an ISS of ≥9. Age ≥ 65 years; motorcycle crashes ≥2 times in the previous year; anaemia; rural crashes; half-face helmets; protective boots; collisions with a bus/truck, car, or a stationary object; alcohol/stimulating refreshment consumption; and fatigue riding were risk factors for increased LOH. A protective factor was individuals working in commerce. Collisions with opening car doors caused low risks of having an ISS of ≥9 and a short LOH. Conclusion Certain factors were significantly associated with riders’ injury severity and related medical resource consumption. Because of differences in the power output, use, and riding environment, risk factors for severe injuries in LMC crashes are dissimilar from those for heavy motorcycles (cylinder capacities > 250 cc) in developed countries and deserve more attention for injury prevention. Further in-depth evaluation of significant factors based on this study’s results can yield valuable information to reduce severe injuries after LMC crashes in countries and areas with a high dependency on motorcycles, even considering the popularity of electric motorcycles.

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“…Lin et al 15 in their prospective study found that severity of motorcycle injuries was more likely to increase when the collisions involve heavier vehicles and if the motor vehicle collision occurred in poor lighting. Severity has been linked to road conditions,16 17 rurality,10 16 older age,18 and speeding 15 17…”

Section: Introductionmentioning

confidence: 99%

Predictors of hospitalization and surgical intervention among patients with motorcycle injuries

Fletcher

McDowell

Thompson

et al. 2019

Trauma Surg Acute Care Open

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BackgroundTo describe the distribution of injuries, hospitalization rates by body areas injured, and surgery-requiring admissions, and to identify independent predictors of admission to a regional hospital in Jamaica.MethodsA cross-sectional study was conducted among persons presenting to the St Ann’s Bay Regional Hospital in Jamaica (2016–2018) with injuries sustained from motorcycle crashes. A census was done of patients admitted to the surgery ward from the emergency room, as well as those referred to the Orthopaedic Outpatient Department. Trained members of the orthopedic team administered a pretested questionnaire within 24 hours of presenting to the orthopedic service to elicit data on sociodemographic characteristics, motor vehicle collision circumstance and motor bike specifications, physical injuries sustained and medical management, as well as compliance with legal requirements for riding a motorcycle. Associations between variables were examined using χ2 tests and logistic regression.ResultsThere were 155 participants in the study, and 75.3% of motorcyclists with injuries required admission. The average length of stay was approximately 10 days. Surgery was required for 71.6% of those admitted. Lower limb injuries constituted 55% of all injuries. The independent predictors for admission were alcohol use and total body areas involved. Motorcycle crash victims who used alcohol close to the time of crash were three times more likely to be admitted to hospital than those who did not consume alcohol. As the total body areas involved increased by one, there was a threefold increase in the likelihood of being admitted. Additionally, the greater the number of body areas involved, the greater was the likelihood of admission.DiscussionLower limb injuries are the most commonly reported injuries among victims of motorcycle crashes. Alcohol and total body areas involved are independent predictors of admission to hospital. In the planning of trauma delivery services, this information should be taken into account.Level of EvidenceLevel IV.

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An analysis of the injury severity of motorcycle crashes in Brazil using mixed ordered response models

Cited by 54 publications

References 23 publications

Injury Severity of Motorcycle Riders Involved in Traffic Crashes in Hunan, China: A Mixed Ordered Logit Approach

Injury Severity of Motorcycle Riders Involved in Traffic Crashes in Hunan, China: A Mixed Ordered Logit Approach

Rider factors associated with severe injury after a light motorcycle crash: A multicentre study in an emerging economy setting

Predictors of hospitalization and surgical intervention among patients with motorcycle injuries

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