Risk factors for injury accidents among moped and motorcycle riders

Moskal, Aurélie; Martin, Jean‐Louis; Laumon, Bernard

doi:10.1016/j.aap.2010.08.021

Cited by 90 publications

(59 citation statements)

References 24 publications

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“…It has been found that most motorcycle accidents occur while travelling for leisure purposes, but that crash severity is higher for work trips (De Lapparent, 2006;Moskal et al, 2012;Oluwadiya et al, 2009).…”

Section: Motorcyclist Characteristicsmentioning

confidence: 99%

“…Lin and Kraus, 2009;Moskal et al, 2012;NHTSA, 2007;Savolainen and Mannering, 2007;Shankar, 2003;Shankar and Mannering, 1996), distraction Cheng and Ng, 2010;Elliott et al, 2007;RANDOM, 2005) and fatigue (Peden et al, 2004;Philip et al, 2003;Sanchez, 2001). …”

Section: Motorcyclist Characteristicsmentioning

confidence: 99%

“…Another similar approach developed in France (Moskal et al, 2012) considers, instead of the traffic offense, accident responsibility for each rider as the dependent variable determined by using the method developed by Robertson and Drummer (1994). This analysis is also based on the exploitation of national data from police reports from 1996 to 2005.…”

Section: Environmental Factorsmentioning

confidence: 99%

“…Furthermore, Kim et al (2011) found that drivers in the group whose license had been suspended (for a short period) committed traffic offenses and caused traffic crashes less often for all time periods than those whose license had been revoked (typically 12 months and the need to pass a test). Thus, a comprehensive understanding of the committing of offenses before the crash may be helpful to better understand motorcycle accidents as well as to recommend the best corrective programs to the authorities (Moskal, et al, 2012). …”

Section: Environmental Factorsmentioning

confidence: 99%

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Modeling offenses among motorcyclists involved in crashes in Spain

Pérez-Fuster

Rodrigo

Ballestar

et al. 2013

Accident Analysis & Prevention

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In relative terms, Spanish motorcyclists are more likely to be involved in crashes than other drivers and this tendency is constantly increasing. The objective of this study is to identify the factors that are related to being an offender in motorcycle accidents. A binary logit model is used to differentiate between offender and non-offender motorcyclists. A motorcyclist was considered to be offender when s/he had committed at least one traffic offense at the moment previous to the crash. The analysis is based that inexperienced, older females, not using helmets, absent-minded and non-fatigued riders are more likely to be offenders. Moreover, riding during the night, on weekends, for leisure purposes and along roads in perfect condition, mainly on curves, predict offenses among motorcyclists. The findings of this study are expected to be useful in developing traffic policy decisions in order to improve motorcyclist safety.

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Section: Motorcyclist Characteristicsmentioning

confidence: 99%

Section: Motorcyclist Characteristicsmentioning

confidence: 99%

Section: Environmental Factorsmentioning

confidence: 99%

Section: Environmental Factorsmentioning

confidence: 99%

See 2 more Smart Citations

Modeling offenses among motorcyclists involved in crashes in Spain

Pérez-Fuster

Rodrigo

Ballestar

et al. 2013

Accident Analysis & Prevention

View full text Add to dashboard Cite

show abstract

“…Although there have been some studies in other countries correlating environmental and personal variables to accidents the methods used are descriptive in nature. Studies done in Thailand (Stephan et al, 2011), Vietnam (Hsu et al, 2003), Taiwan (Chang and Yeh, 2007), Malaysia (Hsu et al, 2003), Germany (Wick et al, 1998), Denmark (Barsi et al, 2002) and France (Moskal et al, 2012) only showed descriptive statistics of the variables considered and did not seek to determine which of them are significant predictors of accident. Prediction models developed in Indonesia (Indriastuti and Sulistio, 2010), and Iran (Majdzadeh et al, 2008) considered accident prediction but the variables included are very limited.…”

Section: Introductionmentioning

confidence: 99%

Logit Model of Motorcycle Accidents in the Philippines Considering Personal and Environmental Factors

Seva¹,

Flores²,

Gotohio³

et al. 2013

IJTTE

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Abstract:The study aims to determine significant personal and environmental variables in predicting motorcycle accidents in the Philippines, compare the results with findings in other countries, and propose possible government interventions. Data were gathered from 177 participants through the use of a survey in a licensing center in the largest city in Metro Manila. Logistic regression was used to predict the likelihood of an accident from variables considered in the model. Three variables were found to be significant predictors of motorcycle accidents: age, driving behavior, and junction type. Younger drivers are more likely to be involved in accidents. The significance of age was unexpected because similar models found this to be insignificant. Driving behavior, specifically, committing violation predicts accident likelihood. Driving at t-and y-junctions also predicts motorcycle accidents. In the Philippines, a unique set of variables were found to predict motorcycle accidents. Although previous studies have established the effect of these variables to accident likelihood, the combination was unforeseen. Government agencies can focus on interventions directed at these three variables.

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Zielgruppe Motorradfahrerinnen und -fahrer

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2014

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Risk factors for injury accidents among moped and motorcycle riders

Abstract: Objective

Cited by 90 publications

References 24 publications

Modeling offenses among motorcyclists involved in crashes in Spain

Modeling offenses among motorcyclists involved in crashes in Spain

Logit Model of Motorcycle Accidents in the Philippines Considering Personal and Environmental Factors

Zielgruppe Motorradfahrerinnen und -fahrer

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