TY - JOUR

T1 - Modeling the behavior of novice young drivers during the first year after licensure

A1 - Prato,Carlo Giacomo

A1 - Toledo,Tomer

A1 - Lotan,Tsippy

A1 - Taubman - Ben-Ari,Orit

AU - Prato,Carlo Giacomo

AU - Toledo,Tomer

AU - Lotan,Tsippy

AU - Taubman - Ben-Ari,Orit

PB - Elsevier Ltd.

PY - 2010

Y1 - 2010

N2 - Novice young drivers suffer from increased crash risk that translates into over-representation in road injuries. In order to effectively confront this problem, a better understanding of the driving behavior of novice young drivers and of its determinants is needed. This study analyzes the behavior of novice young drivers within a Graduated Driver Licensing (GDL) program. Data on driving behavior of 62 novice drivers and their parents, who voluntarily participated in this experiment, were collected using in-vehicle data recorders that calculate compound risk indices as measures of the risk taking behavior of drivers. Data were used to estimate a negative binomial model to identify major determinants that affect the driving behavior of young drivers during the first year after licensure. Estimation results suggest that the risk taking behavior of young drivers is influenced by gender, sensation seeking tendency, driving behavior of their parents, amount of supervised driving and level of parental monitoring.<br /> Keyword: Novice young drivers, graduated driver licensing, in-vehicle data recorders, sensation seeking, negative binomial model

AB - Novice young drivers suffer from increased crash risk that translates into over-representation in road injuries. In order to effectively confront this problem, a better understanding of the driving behavior of novice young drivers and of its determinants is needed. This study analyzes the behavior of novice young drivers within a Graduated Driver Licensing (GDL) program. Data on driving behavior of 62 novice drivers and their parents, who voluntarily participated in this experiment, were collected using in-vehicle data recorders that calculate compound risk indices as measures of the risk taking behavior of drivers. Data were used to estimate a negative binomial model to identify major determinants that affect the driving behavior of young drivers during the first year after licensure. Estimation results suggest that the risk taking behavior of young drivers is influenced by gender, sensation seeking tendency, driving behavior of their parents, amount of supervised driving and level of parental monitoring.<br /> Keyword: Novice young drivers, graduated driver licensing, in-vehicle data recorders, sensation seeking, negative binomial model

JO - Accident Analysis & Prevention

JF - Accident Analysis & Prevention

SN - 0001-4575

IS - 2

VL - 42

SP - 480

EP - 486

ER -