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

Prato, Carlo Giacomo, Toledo, Tomer, Lotan, Tsippy and Taubman - Ben-Ari, Orit (2010) Modeling the behavior of novice young drivers during the first year after licensure. Accident Analysis and Prevention, 42 2: 480-486. doi:10.1016/j.aap.2009.09.011


Author Prato, Carlo Giacomo
Toledo, Tomer
Lotan, Tsippy
Taubman - Ben-Ari, Orit
Title Modeling the behavior of novice young drivers during the first year after licensure
Journal name Accident Analysis and Prevention   Check publisher's open access policy
ISSN 0001-4575
1879-2057
Publication date 2010-03
Year available 2010
Sub-type Article (original research)
DOI 10.1016/j.aap.2009.09.011
Open Access Status Not Open Access
Volume 42
Issue 2
Start page 480
End page 486
Total pages 7
Place of publication Oxford, United Kingdom
Publisher Elsevier
Language eng
Abstract 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.
Keyword Graduated Driver Licensing
In-vehicle data recorders
Negative binomial model
Novice young drivers
Sensation seeking
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Social Science Publications
 
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