Literature DB >> 24342150

The effect of traffic tickets on road traffic crashes.

Roni Factor1.   

Abstract

Road traffic crashes are globally a leading cause of death. The current study tests the effect of traffic tickets issued to drivers on subsequent crashes, using a unique dataset that overcomes some shortcomings of previous studies. The study takes advantage of a national longitudinal dataset at the individual level that merges Israeli census data with data on traffic tickets issued by the police and official data on involvement in road traffic crashes over seven years. The results show that the estimated probability of involvement in a subsequent fatal or severe crash was more than eleven times higher for drivers with six traffic tickets per year compared to those with one ticket per year, while controlling for various confounders. However, the majority of fatal and severe crashes involved the larger population of drivers who received up to one ticket on average per year. The current findings indicate that reducing traffic violations may contribute significantly to crash and injury reduction. In addition, mass random enforcement programs may be more effective in reducing fatal and severe crashes than targeting high-risk recidivist drivers.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Distance traveled; Enforcement; High-risk behaviors; Road traffic accidents; Socioeconomic status; Traffic violations

Mesh:

Year:  2013        PMID: 24342150     DOI: 10.1016/j.aap.2013.11.010

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  3 in total

1.  A proportional odds model of risk behaviors associated with recurrent road traffic crashes among young adults in Kuwait.

Authors:  Saeed Akhtar; Eisa Aldhafeeri; Farah Alshammari; Hana Jafar; Haya Malhas; Marina Botras; Noor Alnasrallah
Journal:  BMC Med Res Methodol       Date:  2022-01-14       Impact factor: 4.615

2.  Predicting Crashes Using Traffic Offences. A Meta-Analysis that Examines Potential Bias between Self-Report and Archival Data.

Authors:  Peter Barraclough; Anders Af Wåhlberg; James Freeman; Barry Watson; Angela Watson
Journal:  PLoS One       Date:  2016-04-29       Impact factor: 3.240

3.  A systematic review of statistical models and outcomes of predicting fatal and serious injury crashes from driver crash and offense history data.

Authors:  Reneta Slikboer; Samuel D Muir; S S M Silva; Denny Meyer
Journal:  Syst Rev       Date:  2020-09-28
  3 in total

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