Quasi-induced exposure method: Evaluation of not-at-fault assumption

Chandraratna, Susantha; Stamatiadis, Nikiforos

doi:10.1016/j.aap.2008.12.005

Cited by 62 publications

(61 citation statements)

References 12 publications

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“…Such data, which are frequently available, contain information on the accident factors which may allow us to evaluate the primary safety issues (Chandraratna and Stamatiadis 2009). These methods use a group of accident-involved riders as an exposure metric, making the hypothesis that the controls are representative of both riders on the road and accident-involved riders by simple virtue of their presence on the road.…”

Section: Introductionmentioning

confidence: 99%

Risk factors for injury accidents among moped and motorcycle riders

Moskal

Martin

Laumon

2012

Accident Analysis & Prevention

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Section: Introductionmentioning

confidence: 99%

Risk factors for injury accidents among moped and motorcycle riders

Moskal

Martin

Laumon

2012

Accident Analysis & Prevention

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“…• for some crash types, where is it more difficult to determine which driver is responsible, the not at fault group will not be representative of the exposed driving population (Chandraratna and Stamatiadis 2009);…”

Section: Discussionmentioning

confidence: 99%

“…'at-fault' or 'not-at-fault' in a multi-vehicle accident based on the police report. Not at fault is commonly defined as 'without any contributing human factors to the crash occurrence as defined by the police investigator officer or accident investigator' (Chandraratna and Stamatiadis 2009 Difficulties arose with small numbers -some categories had to be combined and only a few variables could be used at any one time, however, it was still deemed an easy and economical tool for estimating accident risk. Yannis et al (2005) have also used this technique to provide exposure data in order to assess the accident rates of young motorcyclists, and to assess the relative accident risk of foreign drivers in Greece (Yannis et al 2007).…”

Section: Car Agementioning

confidence: 99%

Modelling trends in road accident frequency— Bayesian inference for rates with uncertain exposure

Lloyd

Forster

2014

Computational Statistics & Data Analysis

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Several thousand people die as a result of a road accident each year in Great Britain and the trend in the number of fatal accidents is monitored closely to understand increases and reductions in the number of deaths. Results from analysis of these data directly influence Government road safety policy and ensure the introduction of effective safety interventions across the country.Overall accident numbers are important, but when disaggregating into various characteristics, accident risk (defined as the number of accidents relative to an exposure measure) is a better comparator. The exposure measure used most commonly for accident rate analysis is traffic flow which can be disaggregated into vehicle types, road type, and year. Here we want to assess the accident risk across different car types and car ages, and therefore alternative exposure sources are required. We disaggregate exposure to a further extent than possible with currently available data in order to take the increased variability within these new factors into account.Exposure data sources are mainly based on sample surveys and therefore have some associated uncertainty, however previous accident risk analysis has not, in general, taken this into account. For an explicit way to include this uncertainty we use a Bayesian analysis to combine three sources of exposure using a log-Normal model with model priors representing our uncertainty in each data source.Using further Bayesian models, we propagate this uncertainty through to accident rates and accident severity, determining important factors and interrelationships between factors to identify key features affecting accident trends, and we make the first exploration of the effect of the recent recession on road accidents.i ii

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“…Así, comparando las características de este subgrupo de ciclistas pasivamente implicados en colisiones con las de la población general, obtendremos una estimación indirecta de la intensidad relativa de exposición como ciclistas de cada subgrupo de la población general. Aunque dicho método ha sido utilizado extensamente en las dos últimas décadas en la investigación epidemiológica de los accidentes de tráfico [11][12][13][14][15] , su aplicación específica para los accidentes de tráfico en ciclistas es muy escasa 16 .…”

Section: Métodosunclassified

Asociación de la edad y el sexo con la intensidad de la exposición al uso de la bicicleta en España, 1993-2009

Ruiz

Jiménez-Mejías

Amezcua-Prieto

et al. 2014

Anales Sis San Navarra

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resuMenFundamento. Estimar la asociación de la edad y el sexo con la intensidad de exposición de los ciclistas en España, entre 1993 y 2009, globalmente y para subtipos de uso. Métodos.A partir de la distribución de los ciclistas pasivamente implicados en colisiones con otros vehículos, incluidos en el registro de la Dirección General de Tráfico entre 1993 y 2009, se ha estimado el incremento en la intensidad de exposición por grupos de edad y sexo para la exposición global y para subtipos de exposición (conducción con o sin casco, en carretera o en zona urbana), tomando como referencia los varones de 45-49 años.resultados. Los varones presentan una mayor exposición que las mujeres, diferencias que aumentan con la edad, aunque tienden a reducirse en años más recientes. En ambos sexos la exposición es mayor en jóvenes y desciende con la edad, si bien en los varones el exceso en los jóvenes desaparece en los últimos años. Por subtipos de uso, destaca la menor exposición de las mujeres en la conducción en carretera, así como la mayor exposición, en las mujeres y en los grupos de edad extremos, entre los no usuarios de casco.conclusión. Existe una estrecha asociación entre el sexo y la edad con la intensidad de uso de la bicicleta, que cambia en función del tipo de uso y del período considerado. En consecuencia, las estimaciones del efecto de los factores que inciden sobre la accidentalidad y la morbi-mortalidad de los ciclistas en España deben ser ajustadas por la edad y el sexo del ciclista.

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Quasi-induced exposure method: Evaluation of not-at-fault assumption

Cited by 62 publications

References 12 publications

Risk factors for injury accidents among moped and motorcycle riders

Risk factors for injury accidents among moped and motorcycle riders

Modelling trends in road accident frequency— Bayesian inference for rates with uncertain exposure

Asociación de la edad y el sexo con la intensidad de la exposición al uso de la bicicleta en España, 1993-2009

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