Applying crash data to injury claims - an investigation of determinant factors in severe motor vehicle accidents

•An MLR is used to determine compensations costs for road traffic injuries.•6 variables were identified as significantly influencing expected compensation cost.•The 6-variable linear model attained an adjusted-R2 fit of 20.6% (p > .001).•The linear model outperformed ordered and unordered models...

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Veröffentlicht in:	Accident analysis and prevention 2018-04, Vol.113, p.244-256
Hauptverfasser:	Shannon, Darren, Murphy, Finbarr, Mullins, Martin, Eggert, Julian
Format:	Artikel
Sprache:	eng
Schlagworte:	Accidents, Traffic - economics Accidents, Traffic - mortality Accidents, Traffic - prevention & control Accidents, Traffic - statistics & numerical data ADAS Adult Automobile Driving Claims reserving Data Collection Databases, Factual Expected compensation costs Female Humans Insurance Carriers - economics Linear Models Linear regression Logistic Models Male Middle Aged Motor Vehicles Protective Devices RTAs Safety Management Trauma Severity Indices Wounds and Injuries - classification Wounds and Injuries - economics Wounds and Injuries - epidemiology
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