Empirical Bayesian analysis of accident severity for motorcyclists in large French urban areas

Lapparent, Matthieu de

doi:10.1016/j.aap.2005.09.001

Cited by 97 publications

(67 citation statements)

References 15 publications

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“…Adverse conditions, such as rain or wet surface, have been found to raise the probability of crash severity and crash risk (Caliendo et al, 2007;Majdzadeh et al, 2008;Yau, 2004). However, other studies have found that adverse conditions have a preventive effect on the incidence of injury (Zhang et al, 2000), and good road conditions could increase the probability of a fatal crash (De Lapparent, 2006;Quddus et al, 2002). These studies did not take into account the level of risk exposure (accidents per kilometer).…”

Section: Environmental Factorsmentioning

confidence: 98%

“…Regarding the road layout, Oluwadiya et al (2009) found that most motorcyclists crash more on straights or on bends than on intersections. However, the probability that an accident is severe or fatal when it happens at intersections is higher than at non-intersections (Clabaux et al, 2012;De Lapparent, 2006).…”

Section: Environmental Factorsmentioning

confidence: 99%

“…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%

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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: Environmental Factorsmentioning

confidence: 98%

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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show abstract

“…Riding on wet pavements often results in crashes with less injury and several researchers (e.g., Quddus et al, 2002;Shankar and Mannering, 1996) have argued that wet pavements acting as visual deterrents for speeding may encourage riders to maintain longer headways and lower riding speeds. de Lapparent (2006) has argued that due to their physiological limits as well as their tendency to speed at night, motorcyclists are less able to anticipate and react to sudden appearance of other road users.…”

Section: Brief Literature Review On Motorcycle Safetymentioning

confidence: 99%

An investigation on multi-vehicle motorcycle crashes using log-linear models

2012

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Motorcyclists are the most crash-prone road-user group in many Asian countries including Singapore; however, factors influencing motorcycle crashes are still not well understood. This study examines the effects of various roadway characteristics, traffic control measures and environmental factors on motorcycle crashes at different location types including expressways and intersections. Using techniques of categorical data analysis, this study has developed a set of log-linear models to investigate multi-vehicle motorcycle crashes in Singapore. Motorcycle crash risks in different circumstances have been calculated after controlling for the exposure estimated by the induced exposure technique. Results show that night-time influence increases crash risks of motorcycles particularly during merging and diverging manoeuvres on expressways, and turning manoeuvres at intersections. Riders appear to exercise more care while riding on wet road surfaces particularly during night. Many hazardous interactions at intersections tend to be related to the failure of drivers to notice a motorcycle as well as to judge correctly the speed/distance of an oncoming motorcycle. Road side conflicts due to stopping/waiting vehicles and interactions with opposing traffic on undivided roads have been found to be as detrimental factors on motorcycle safety along arterial, main and local roads away from intersections. Based on the findings of this study, several targeted countermeasures in the form of legislations, rider training, and safety awareness programmes have been recommended.

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“…For the reason underlined above, measuring traffic conflicts demands creating standardized conditions, which creates an artificial situation for testing drivers, we focus only on accidents. In terms of the severity level, the accidents are often divided into five categories: property damage only (PDO), possible injury, nonincapacitating injury, incapacitating injury, and fatal injury (Al-Ghamdi, 2002;Kaplan & Prato, 2012) or three levels: property damage only, injury, and fatal (Abellán et al, 2013;De Lapparent, 2006;Zhang et al, 2013). The Highway Safety Manual (2010) provides two levels of severity: fatal-and-injury (FI) or property damage only (PDO).…”

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confidence: 99%

The External Validity of Psychometric Testing Methods and Their Meaning for Safe Road Performance

Biela

Rożnowski²,

Gorbaniuk³

et al. 2017

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The aim of the paper is to investigate which psychometric tools commonly used by Polish transport psychologists appropriately measure necessary abilities of professional drivers. According to Levis-Eva ns' differentiation between the driver 's performa nce and the driver's behavior, we explored a statistical relation between the results of tests currently used by transport psychologists, measured according to Szalma's individual differences and safe behaviors on roads. We examine validity of tests using data based on real professional drivers' behavior. The sample included 200 drivers involved in accidents and collisions, and 100 who behaved safely. We tested external validity of chosen psychometric tools by analyzing statistically the relation between test scores and unsafe driving behavior recorded by the police. The results show that only few mea surements are valid for differentiation of safe and unsafe drivers. The paper indicates the methodology to reach the prognostic value of the diagnostic tests employed by transport psychologist. Key words: safety behavior, external validity, transport psychology Theoretical BackgroundSince the time when psychologists became interested in road transportation, numerous psychometric tools, including cognitive ability tests and psychomotoric ones have been developed to diagnose individuals applying for a driver's license. This interest in testing these applicants appears already in the classic Münsterberg's book on industrial psychology (Münsterberg, 1913). From this analysis, however, the following question arises: which psychometric tools most appropriately measure abilities that predict safety-related human behavior in road traffic situations? Szalma (2009) argues that individual differences in human factors/ergonomics should be incorporated into research and practice. Within traffic and transport psychology, different research approaches have attempted to explain individual differences in risky driving behavior and traffic accident involvement, which assumes more complex processes and such factors as: aggressive driving

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Empirical Bayesian analysis of accident severity for motorcyclists in large French urban areas

Cited by 97 publications

References 15 publications

Modeling offenses among motorcyclists involved in crashes in Spain

Modeling offenses among motorcyclists involved in crashes in Spain

An investigation on multi-vehicle motorcycle crashes using log-linear models

The External Validity of Psychometric Testing Methods and Their Meaning for Safe Road Performance

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