1995
DOI: 10.1016/0022-4375(94)00023-9
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Driver accident risk in relation to the penalty point system in British Columbia

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Cited by 34 publications
(14 citation statements)
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“…Although the methodology adopted here is a modification of Gebers (1999) and Chen et al (1995) studies, the major difference is that this study is focused only on determining the culpability in a crash that has occurred rather than determining the likelihood of a driver being involved in a crash. In addition, this study makes the maximum use of the latest available data by not dividing the crash period into two subdivisions and accounts for the effects of TIME GAP along with seven conviction categories.…”
Section: Discussionmentioning
confidence: 99%
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“…Although the methodology adopted here is a modification of Gebers (1999) and Chen et al (1995) studies, the major difference is that this study is focused only on determining the culpability in a crash that has occurred rather than determining the likelihood of a driver being involved in a crash. In addition, this study makes the maximum use of the latest available data by not dividing the crash period into two subdivisions and accounts for the effects of TIME GAP along with seven conviction categories.…”
Section: Discussionmentioning
confidence: 99%
“…Hauer et al (1991) concluded that if the prediction model makes use of the driver's previous crash records, the performance of their multivariate model for a crash is notably improved. Chen et al (1995) employed logistic regression analysis to identify drivers who were most likely to have one or more at-fault crash involvements after their crashes, based on their records prior to their at-fault crash involvements. They indicated that a model that makes use of prior at-fault crash information can identify up to 23% more drivers who will have one or more at-fault crash involvements in the next 2 years than a model that uses conviction alone.…”
Section: Introductionmentioning
confidence: 99%
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“…Other empirical analyses show the potential of a PRDL to discriminate between different categories of drivers according to their offense propensity. Specifically, some analyses highlight that the PRDL allows to predict drivers' different likelihood of being involved in accidents or receiving convictions in subsequent periods on the basis of their respective points records (Chipman & Morgan, 1975;Chen, Cooper, & Pinili, 1995;Diamantopoulou, Cameron, Dyte, & Harrison, 1997). However, some recent empirical investigations show only temporary effects of PRDL on drivers' increased compliance (Benedettini & Nicita, 2009;Castillo-Manzano, CastroNuño, & Pedregal, 2010;Lawpoolsri, Jingyi, & Braver, 2007).…”
Section: Descriptionmentioning
confidence: 99%
“…However, complete and accurate driver records also are vital to the operations of enforcement and traffic safety agencies and to nongovernmental users. A large number of studies in the United States and elsewhere have demonstrated that increased crash risk is associated with prior traffic violations and prior crashes (e.g., Banks et al, 1977;Chen et al, 1995;Gebers & Peck, 2003;Hauer et al, 1991;Peck et al, 1971;Robertson & Baker, 1975). Thus, employers use driver records to screen prospective or current employees, including commercial drivers.…”
mentioning
confidence: 99%